Hao Chi

4.2k citations

58 papers · 3.0k · 2 hit papers · h-index 26

Impact in

Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics

Papers in

Spectroscopy 40
- Advanced Proteomics Techniques and Applications 40
- Mass Spectrometry Techniques and Applications 25
Molecular Biology 42
- Metabolomics and Mass Spectrometry Studies 11
- Genomics and Phylogenetic Studies 10
- Glycosylation and Glycoproteins Research 7
- Machine Learning in Bioinformatics 7
- RNA and protein synthesis mechanisms 4
- Identification and Quantification in Food 3

Co-authors: Si‐Min He (35 shared papers)Meng‐Qiu Dong (14 shared papers)Rui-Xiang Sun (19 shared papers)Wenfeng Zeng (11 shared papers)Chao Liu (14 shared papers)Wenjing Zhou (9 shared papers)Yue‐He Ding (3 shared papers)Leheng Wang (13 shared papers)
Journals: Journal of Proteome Research (8 papers)Analytical Chemistry (5 papers)Molecular & Cellular Proteomics (4 papers)Journal of Proteomics (4 papers)Bioinformatics (3 papers)
Partner nations: China United States Czechia

In The Last Decade

Hao Chi

56 papers receiving 3.0k citations

Hao Chi's Hit Papers

align trajectories log scale

A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides 2019 · 370 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2019 Nature Communications
2012 Nature Methods

Peers

Countries citing papers authored by Hao Chi

Since Specialization

Citations

This map shows the geographic impact of Hao Chi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hao Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Chi more than expected).

Fields of papers citing papers by Hao Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Chi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hao Chi. The network helps show where Hao Chi may publish in the future.

Co-authors

The 25 scholars most cited alongside Hao Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hao Chi Line = papers co-authored together Hao Chi links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Identification of cross-linked peptides from complex samples Nature Methods ·Bing Yang, Yanjie Wu, Ming Zhu, Sheng‐Bo Fan, Jinzhong Lin, Kun Zhang, Shuang Li, Hao Chi Hit paper breakdown →	2012	474
2	A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides Nature Communications ·Zhen-Lin Chen, Jia‐Ming Meng, Yong Cao, Jili Yin, Run-Qian Fang, Sheng‐Bo Fan, Chao Liu, Wenfeng Zeng Hit paper breakdown →	2019	370
3	Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine Nature Biotechnology ·Hao Chi, Chao Liu, Hao Yang, Wenfeng Zeng, Long Wu, Wenjing Zhou, Ruimin Wang, Xiu-Nan Niu	2018	321
4	pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification Nature Communications ·Mingqi Liu, Wen‐Feng Zeng, Fang Pan, Weiqian Cao, Chao Liu, Guoquan Yan, Yang Zhang, Chao Peng	2017	267
5	pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning Analytical Chemistry ·Xie‐Xuan Zhou, Wen‐Feng Zeng, Hao Chi, Chunjie Luo, Chao Liu, Jianfeng Zhan, Si‐Min He, Zhi-Fei Zhang	2017	180
6	pNovo: De novo Peptide Sequencing and Identification Using HCD Spectra Journal of Proteome Research ·Hao Chi, Rui-Xiang Sun, Bing Yang, Chun‐Qing Song, Leheng Wang, Chao Liu, Yan Fu, Zuo‐Fei Yuan	2010	137
7	pGlyco: a pipeline for the identification of intact N-glycopeptides by using HCD- and CID-MS/MS and MS3 Scientific Reports ·Wen‐Feng Zeng, Mingqi Liu, Yang Zhang, Jianqiang Wu, Pan Fang, Chao Peng, Aiying Nie, Guoquan Yan	2016	86
8	pNovo+: De Novo Peptide Sequencing Using Complementary HCD and ETD Tandem Mass Spectra Journal of Proteome Research ·Hao Chi, Haifeng Chen, Kun He, Long Wu, Bing Yang, Rui-Xiang Sun, Jianyun Liu, Wenfeng Zeng	2012	83
9	A Strategy for Precise and Large Scale Identification of Core Fucosylated Glycoproteins Molecular & Cellular Proteomics ·Wei Jia, Zhuang Lu, Yan Fu, Haipeng Wang, Leheng Wang, Hao Chi, Zuo‐Fei Yuan, Zhaobin Zheng	2009	81
10	MS/MS Spectrum Prediction for Modified Peptides Using pDeep2 Trained by Transfer Learning Analytical Chemistry ·Wen‐Feng Zeng, Xie‐Xuan Zhou, Wenjing Zhou, Hao Chi, Jianfeng Zhan, Si‐Min He	2019	76
11	Open MS/MS spectral library search to identify unanticipated post-translational modifications and increase spectral identification rate Bioinformatics ·Ding Ping Ye, Yan Fu, Rui-Xiang Sun, Haipeng Wang, Zuo‐Fei Yuan, Hao Chi, Si‐Min He	2010	74
12	pQuant Improves Quantitation by Keeping out Interfering Signals and Evaluating the Accuracy of Calculated Ratios Analytical Chemistry ·Chao Liu, Chun‐Qing Song, Zuo‐Fei Yuan, Yan Fu, Hao Chi, Leheng Wang, Sheng‐Bo Fan, Kun Zhang	2014	72
13	pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework Bioinformatics ·Hao Yang, Hao Chi, Wenfeng Zeng, Wenjing Zhou, Si‐Min He	2019	65
14	pParse: A method for accurate determination of monoisotopic peaks in high‐resolution mass spectra PROTEOMICS ·Zuo‐Fei Yuan, Chao Liu, Hai‐Peng Wang, Rui‐Xiang Sun, Yan Fu, Jingfen Zhang, Leheng Wang, Hao Chi	2011	60
15	pFind–Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data Journal of Proteomics ·Hao Chi, Kun He, Bing Yang, Zhen Chen, Rui-Xiang Sun, Sheng‐Bo Fan, Kun Yuan Zhang, Chao Liu	2015	55
16	pTop 1.0: A High-Accuracy and High-Efficiency Search Engine for Intact Protein Identification Analytical Chemistry ·Rui-Xiang Sun, Lan E Luo, Long Wu, Ruimin Wang, Wenfeng Zeng, Hao Chi, Chao Liu, Si‐Min He	2016	54
17	Nematode sperm maturation triggered by protease involves sperm-secreted serine protease inhibitor (Serpin) Proceedings of the National Academy of Sciences ·Yanmei Zhao, Wei Sun, Pan Zhang, Hao Chi, Meijun Zhang, Chun‐Qing Song, Xuan Ma, Yunlong Shang	2012	48
18	How to use open-pFind in deep proteomics data analysis?— A protocol for rigorous identification and quantitation of peptides and proteins from mass spectrometry data Biophysics Reports ·Zhenlin Chen, Chao Liu, Shangtong Li, Hao Chi, Meng‐Qiu Dong +2 others	2021	34
19	Improved Peptide Identification for Proteomic Analysis Based on Comprehensive Characterization of Electron Transfer Dissociation Spectra Journal of Proteome Research ·Rui-Xiang Sun, Meng‐Qiu Dong, Chun‐Qing Song, Hao Chi, Bing Yang, Li‐Yun Xiu, Tao Li, Zhiyi Jing	2010	34
20	N-glycopeptide Signatures of IgA2 in Serum from Patients with Hepatitis B Virus-related Liver Diseases Molecular & Cellular Proteomics ·Shu Jie Zhang, Xinyi Cao, Chao Liu, Wei Li, Wenfeng Zeng, Baiwen Li, Hao Chi, Mingqi Liu	2019	33

About Hao Chi

Hao Chi is a scholar working on Spectroscopy, Molecular Biology, Cell Biology, Oncology and Hepatology, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (40 papers), Mass Spectrometry Techniques and Applications (25 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Genomics and Phylogenetic Studies (10 papers), Glycosylation and Glycoproteins Research (7 papers), Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (4 papers) and Identification and Quantification in Food (3 papers). The work is most often cited by research in Spectroscopy (1.5k citations), Molecular Biology (2.3k citations), Cell Biology (213 citations), Aging (23 citations) and Immunology (165 citations). Hao Chi has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Si‐Min He, Meng‐Qiu Dong, Rui-Xiang Sun, Wenfeng Zeng, Chao Liu, Wenjing Zhou, Yue‐He Ding, Leheng Wang, Sheng‐Bo Fan and Bing Yang. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Molecular & Cellular Proteomics, Journal of Proteomics and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Hao Chi's Hit Papers

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Fields of papers citing papers by Hao Chi

All Works

About Hao Chi

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