Sheng Pan
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 30
- Mass Spectrometry Techniques and Applications 13
- Cancer Research top 5%
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 17
- Peptidase Inhibition and Analysis 7
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 13
- Glycosylation and Glycoproteins Research 12
- Gut microbiota and health 6
- Cell Biology top 5%
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- Pancreatitis Pathology and Treatment 7
- Co-authors
- Ru ChenTeresa A. BrentnallRuedi AebersoldDavid R. GoodlettMartin McIntoshMary P. BronnerA. John RushLisa A. Lai
- Cited by
- SpectroscopyCancer ResearchOncology
- Journals
- Journal of Proteome Research (8 papers)PROTEOMICS (6 papers)Molecular & Cellular Proteomics (5 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Sheng Pan
95 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Spectroscopy 1.1k
- Cancer Research 555
- Oncology 985
- Molecular Biology 2.1k
- Cell Biology 295
Countries citing papers authored by Sheng Pan
This map shows the geographic impact of Sheng Pan'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 Sheng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Pan more than expected).
Fields of papers citing papers by Sheng Pan
This network shows the impact of papers produced by Sheng Pan. 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 Sheng Pan. The network helps show where Sheng Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng Pan, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 24 | |
| 11 | 2020 | 39 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 20 | |
| 14 | 2014 | 4 | |
| 15 | 2012 | 21 | |
| 16 | 2010 | 5 | |
| 17 | 2009 | 29 | |
| 18 | 2007 | 94 | |
| 19 | 2006 | 37 | |
| 20 | 2005 | 120 |
About Sheng Pan
Sheng Pan is a scholar working on Spectroscopy, Oncology, Molecular Biology, Immunology and Cancer Research, having authored 97 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (30 papers), Pancreatic and Hepatic Oncology Research (17 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Mass Spectrometry Techniques and Applications (13 papers), Glycosylation and Glycoproteins Research (12 papers), Pancreatitis Pathology and Treatment (7 papers), Peptidase Inhibition and Analysis (7 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Cancer Research (555 citations), Oncology (985 citations), Molecular Biology (2.1k citations) and Cell Biology (295 citations). Sheng Pan has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Ru Chen, Teresa A. Brentnall, Ruedi Aebersold, David R. Goodlett, Martin McIntosh, Mary P. Bronner, A. John Rush, Lisa A. Lai, David A. Crispin and Damon May. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Molecular & Cellular Proteomics, PROTEOMICS - CLINICAL APPLICATIONS and Cancer Letters.
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.