Feifei Cui

2.3k citations

101 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
- vaccines and immunoinformatics approaches
Microbiology top 10%
- Antimicrobial Peptides and Activities

Papers in

Molecular Biology 68
- Machine Learning in Bioinformatics 34
- RNA and protein synthesis mechanisms 18
- Single-cell and spatial transcriptomics 15
- vaccines and immunoinformatics approaches 9
- RNA modifications and cancer 8
- Protein Structure and Dynamics 7
Computational Theory and Mathematics 12
- Computational Drug Discovery Methods 12

Co-authors: Quan Zou (44 shared papers)Zilong Zhang (53 shared papers)Chen Cao (8 shared papers)Devin Kwok (2 shared papers)Mulin Jun Li (1 shared paper)Zhao Da (1 shared paper)Jianhua Wang (1 shared paper)Zhibin Lv (1 shared paper)
Journals: Journal of Chemical Information and Modeling (12 papers)Briefings in Bioinformatics (7 papers)Briefings in Functional Genomics (6 papers)International Journal of Biological Macromolecules (5 papers)IEEE Transactions on Computational Biology and Bioinformatics (4 papers)
Partner nations: China Macao Japan

In The Last Decade

Feifei Cui

83 papers receiving 1.7k citations

Feifei Cui's Hit Papers

align trajectories log scale

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study 2021 · 325 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.

2021 Nucleic Acids Research

Peers

Countries citing papers authored by Feifei Cui

Since Specialization

Citations

This map shows the geographic impact of Feifei Cui'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 Feifei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Cui more than expected).

Fields of papers citing papers by Feifei Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feifei Cui. 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 Feifei Cui. The network helps show where Feifei Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Feifei Cui, 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 Feifei Cui Line = papers co-authored together Feifei Cui 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 101 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study Nucleic Acids Research ·Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Zhao Da, Mulin Jun Li, Quan Zou Hit paper breakdown →	2021	325
2	Anticancer peptides prediction with deep representation learning features Briefings in Bioinformatics ·Zhibin Lv, Feifei Cui, Quan Zou, Lichao Zhang, Lei Xu	2021	124
3	Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches Journal of Cleaner Production ·Kunsen Lin, Youcai Zhao, Jia‐Hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao	2022	114
4	Deubiquitination of CXCR4 by USP14 Is Critical for Both CXCL12-induced CXCR4 Degradation and Chemotaxis but Not ERK Activation Journal of Biological Chemistry ·Marjelo A. Mines, J. Shawn Goodwin, Lee E. Limbird, Feifei Cui, Guo-Huang Fan	2008	89
5	Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections Computers in Biology and Medicine ·Zilong Zhang, Feifei Cui, Chen Cao, Qingsuo Wang, Quan Zou	2021	76
6	Sequence representation approaches for sequence-based protein prediction tasks that use deep learning Briefings in Functional Genomics ·Feifei Cui, Zilong Zhang, Quan Zou	2020	62
7	Critical downstream analysis steps for single-cell RNA sequencing data Briefings in Bioinformatics ·Zilong Zhang, Feifei Cui, Chen Lin, Lingling Zhao, Chunyu Wang, Quan Zou	2021	51
8	Sirtuin-4 (SIRT4) is downregulated and associated with some clinicopathological features in gastric adenocarcinoma Biomedicine & Pharmacotherapy ·Guoyu Huang, Feifei Cui, Fudong Yu, Huijun Lu, Meng Zhang, Huamei Tang, Zhihai Peng	2015	48
9	Goals and approaches for each processing step for single-cell RNA sequencing data Briefings in Bioinformatics ·Zilong Zhang, Feifei Cui, Chunyu Wang, Lingling Zhao, Quan Zou	2020	45
10	PAK6 increase chemoresistance and is a prognostic marker for stage II and III colon cancer patients undergoing 5-FU based chemotherapy Oncotarget ·Jian Chen, Huijun Lu, Dongwang Yan, Feifei Cui, Xiaogang Wang, Fudong Yu, Yingming Xue, Xiaodong Feng	2014	41
11	Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data PROTEOMICS ·Feifei Cui, Zilong Zhang, Chen Cao, Quan Zou, Dong Chen, Xi Su	2022	32
12	Machine learning-based prediction model for distant metastasis of breast cancer Computers in Biology and Medicine ·Hao Duan, Yu Zhang, Haoye Qiu, Xiuhao Fu, Xiaofeng Zang, Ziyue Wu, Ziyue Wu, Xingfeng Li	2024	32
13	Vegetation type and plant diversity affected soil carbon accumulation in a postmining area in Shanxi Province, China Land Degradation and Development ·Meifang Yan, Feifei Cui, Yang Liu, Zeyu Zhang, Jianbiao Zhang, Hongrui Ren, Zhiping Li	2019	32
14	webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration Bioinformatics ·Zilong Zhang, Feifei Cui, Weiwen Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou	2022	31
15	Zinc-α-2-Glycoprotein: A Candidate Biomarker for Colon Cancer Diagnosis in Chinese Population International Journal of Molecular Sciences ·Yingming Xue, Fudong Yu, Dongwang Yan, Feifei Cui, Huamei Tang, Xiaogang Wang, Jian Chen, Huijun Lu	2014	30
16	MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting Frontiers of Environmental Science & Engineering ·Kunsen Lin, Youcai Zhao, Li-Na Wang, Wenjie Shi, Feifei Cui, Tao Zhou	2023	27
17	Increased expression of prothymosin-α, independently or combined with TP53, correlates with poor prognosis in colorectal cancer. PubMed ·Meng Zhang, Feifei Cui, Su Lu, Huijun Lu, Tao Jiang, Jian Chen, Xuemei Zhang, Yubiao Jin	2014	26
18	Single-cell RNA Sequencing Analysis Identifies Key Genes in Brain Metastasis from Lung Adenocarcinoma Current Gene Therapy ·Zilong Zhang, Feifei Cui, Murong Zhou, Song Wu, Quan Zou, Bo Gao	2021	26
19	Machine Learning Enables Comprehensive Prediction of the Relative Protein Abundance of Multiple Proteins on the Protein Corona Research ·Xiuhao Fu, Yang Chao, Yunyun Su, Chunling Liu, Haoye Qiu, Yanyan Yu, Gaoxing Su, Qingchen Zhang	2024	23
20	msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths BMC Biology ·Yazi Li, Xiaoman Wei, Qinglin Yang, An Xiong, Xingfeng Li, Quan Zou, Feifei Cui, Zilong Zhang	2024	23

About Feifei Cui

Feifei Cui is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Microbiology and Pathology and Forensic Medicine, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (34 papers), RNA and protein synthesis mechanisms (18 papers), Single-cell and spatial transcriptomics (15 papers), Computational Drug Discovery Methods (12 papers), vaccines and immunoinformatics approaches (9 papers), RNA modifications and cancer (8 papers), Protein Structure and Dynamics (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Molecular Biology (875 citations), Microbiology (69 citations), Geriatrics and Gerontology (34 citations), Cancer Research (131 citations) and Waste Management and Disposal (82 citations). Feifei Cui has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Quan Zou, Zilong Zhang, Chen Cao, Devin Kwok, Mulin Jun Li, Zhao Da, Jianhua Wang, Zhibin Lv, Lichao Zhang and Lei Xu. Their work appears in journals such as Journal of Chemical Information and Modeling, Briefings in Bioinformatics, Briefings in Functional Genomics, International Journal of Biological Macromolecules and IEEE Transactions on Computational Biology 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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Feifei Cui's Hit Papers

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