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
- Glycosylation and Glycoproteins Research
- RNA and protein synthesis mechanisms
- Retinal Development and Disorders
Papers in
-
- Metabolomics and Mass Spectrometry Studies 11
- Machine Learning in Bioinformatics 6
- Genomics and Phylogenetic Studies 6
- Glycosylation and Glycoproteins Research 5
- Gut microbiota and health 2
- Spectroscopy 14
- Advanced Proteomics Techniques and Applications 14
- Mass Spectrometry Techniques and Applications 8
- Co-authors
- Haixu Tang (19 shared papers)Yuzhen Ye (6 shared papers)Kaiyuan Liu (3 shared papers)Yixue Li (3 shared papers)Yu‐Dong Cai (3 shared papers)Predrag Radivojac (8 shared papers)Randy J. Arnold (3 shared papers)Rong Zeng (2 shared papers)
- Journals
- Journal of Proteome Research (4 papers)Bioinformatics (2 papers)Analytical Chemistry (2 papers)Scientific Reports (1 paper)Gerontology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sujun Li
30 papers receiving 526 citations
Peers
Comparison fields: 5 of 93
- Spectroscopy 181
- Molecular Biology 417
- Immunology 50
- Clinical Biochemistry 16
- Ophthalmology 18
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 60 | |
| 2 | 2020 | 48 | |
| 3 | 2010 | 47 | |
| 4 | 2020 | 45 | |
| 5 | 2018 | 42 | |
| 6 | 2023 | 33 | |
| 7 | 2016 | 30 | |
| 8 | 2007 | 26 | |
| 9 | 2019 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 17 | |
| 14 | 2023 | 14 | |
| 15 | 2007 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2016 | 8 |
About Sujun Li
Sujun Li is a scholar working on Molecular Biology, Spectroscopy, Oncology, Genetics and Artificial Intelligence, having authored 33 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Mass Spectrometry Techniques and Applications (8 papers), Machine Learning in Bioinformatics (6 papers), Genomics and Phylogenetic Studies (6 papers), Glycosylation and Glycoproteins Research (5 papers), Peptidase Inhibition and Analysis (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Spectroscopy (181 citations), Molecular Biology (417 citations), Immunology (50 citations), Clinical Biochemistry (16 citations) and Ophthalmology (18 citations). Sujun Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Haixu Tang, Yuzhen Ye, Kaiyuan Liu, Yixue Li, Yu‐Dong Cai, Predrag Radivojac, Randy J. Arnold, Rong Zeng, Lei Wang and James P. Reilly. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, Analytical Chemistry, Scientific Reports and Gerontology.
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.