Long Wu
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Glycosylation and Glycoproteins Research
- RNA Research and Splicing
Papers in
-
- Machine Learning in Bioinformatics 4
- Metabolomics and Mass Spectrometry Studies 4
- Identification and Quantification in Food 2
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 8
- Co-authors
- Si‐Min He (4 shared papers)Meng‐Qiu Dong (4 shared papers)Rui-Xiang Sun (5 shared papers)Wenfeng Zeng (4 shared papers)Hao Chi (3 shared papers)Yue‐He Ding (2 shared papers)Wenjing Zhou (2 shared papers)Chao Liu (3 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Nature Communications (2 papers)PROTEOMICS (2 papers)iScience (1 paper)Nature Methods (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Long Wu
18 papers receiving 954 citations
Long Wu's Hit Papers
Peers
Comparison fields: 5 of 112
- Spectroscopy 331
- Molecular Biology 689
- Cell Biology 80
- Organic Chemistry 77
- Oncology 57
Countries citing papers authored by Long Wu
This map shows the geographic impact of Long Wu'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 Long Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wu more than expected).
Fields of papers citing papers by Long Wu
This network shows the impact of papers produced by Long Wu. 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 Long Wu. The network helps show where Long Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides Hit paper breakdown → | 2019 | 348 |
| 2 | 2018 | 294 | |
| 3 | 2015 | 131 | |
| 4 | 2012 | 78 | |
| 5 | 2017 | 29 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Long Wu
Long Wu is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Genetics and Ecology, having authored 19 papers that have together received 967 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers), Machine Learning in Bioinformatics (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Identification and Quantification in Food (2 papers), Nanoparticles: synthesis and applications (2 papers), Evolution and Genetic Dynamics (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Spectroscopy (331 citations), Molecular Biology (689 citations), Cell Biology (80 citations), Organic Chemistry (77 citations) and Oncology (57 citations). Long Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Si‐Min He, Meng‐Qiu Dong, Rui-Xiang Sun, Wenfeng Zeng, Hao Chi, Yue‐He Ding, Wenjing Zhou, Chao Liu, Sheng‐Bo Fan and Zhen-Lin Chen. Their work appears in journals such as Journal of Proteome Research, Nature Communications, PROTEOMICS, iScience and Nature Methods.
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.