Sujun Li
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Gut microbiota and health
- Glycosylation and Glycoproteins Research
Papers in
- Spectroscopy 13
- Advanced Proteomics Techniques and Applications 13
- Mass Spectrometry Techniques and Applications 8
-
- Metabolomics and Mass Spectrometry Studies 10
- Machine Learning in Bioinformatics 6
- Glycosylation and Glycoproteins Research 5
- Genomics and Phylogenetic Studies 5
- Co-authors
- Haixu Tang (20 shared papers)Yuzhen Ye (7 shared papers)Kaiyuan Liu (3 shared papers)Yixue Li (3 shared papers)Yu‐Dong Cai (3 shared papers)Predrag Radivojac (8 shared papers)Rong Zeng (2 shared papers)Randy J. Arnold (3 shared papers)
- Journals
- Journal of Proteome Research (4 papers)Nature Communications (3 papers)Analytical Chemistry (2 papers)Bioinformatics (2 papers)IEEE Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesChinaLuxembourg
In The Last Decade
Sujun Li
34 papers receiving 711 citations
Peers
Comparison fields: 5 of 102
- Spectroscopy 190
- Molecular Biology 490
- Ecology 85
- Immunology 49
- Ophthalmology 19
Countries citing papers authored by Sujun Li
This map shows the geographic impact of Sujun Li'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 Sujun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujun Li more than expected).
Fields of papers citing papers by Sujun Li
This network shows the impact of papers produced by Sujun Li. 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 Sujun Li. The network helps show where Sujun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Sujun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2006 | 67 | |
| 3 | 2020 | 58 | |
| 4 | 2020 | 53 | |
| 5 | 2020 | 49 | |
| 6 | 2010 | 48 | |
| 7 | 2018 | 45 | |
| 8 | 2023 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2023 | 30 | |
| 11 | 2007 | 26 | |
| 12 | 2023 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2021 | 21 | |
| 15 | 2018 | 20 | |
| 16 | 2016 | 17 | |
| 17 | 2019 | 14 | |
| 18 | 2007 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2016 | 9 |
About Sujun Li
Sujun Li is a scholar working on Spectroscopy, Molecular Biology, Ecology, Geriatrics and Gerontology and Rehabilitation, having authored 36 papers that have together received 723 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Mass Spectrometry Techniques and Applications (8 papers), Machine Learning in Bioinformatics (6 papers), Glycosylation and Glycoproteins Research (5 papers), Genomics and Phylogenetic Studies (5 papers), Peptidase Inhibition and Analysis (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Spectroscopy (190 citations), Molecular Biology (490 citations), Ecology (85 citations), Immunology (49 citations) and Ophthalmology (19 citations). Sujun Li has collaborated with scholars based in United States, China and Luxembourg. Frequent co-authors include Haixu Tang, Yuzhen Ye, Kaiyuan Liu, Yixue Li, Yu‐Dong Cai, Predrag Radivojac, Rong Zeng, Randy J. Arnold, Lei Wang and Zheng‐Rong Lu. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Analytical Chemistry, Bioinformatics 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.