Sheng Pan
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Metabolomics and Mass Spectrometry Studies 13
- Glycosylation and Glycoproteins Research 11
- Gut microbiota and health 6
- Spectroscopy 29
- Advanced Proteomics Techniques and Applications 29
- Mass Spectrometry Techniques and Applications 15
- Co-authors
- Ru Chen (48 shared papers)Teresa A. Brentnall (36 shared papers)Ruedi Aebersold (12 shared papers)David R. Goodlett (9 shared papers)Martin McIntosh (11 shared papers)Mary P. Bronner (14 shared papers)A. John Rush (4 shared papers)Lisa A. Lai (11 shared papers)
- Journals
- Journal of Proteome Research (8 papers)PROTEOMICS (6 papers)PROTEOMICS - CLINICAL APPLICATIONS (5 papers)Molecular & Cellular Proteomics (5 papers)Cancer Letters (4 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Sheng Pan
99 papers receiving 3.9k citations
Sheng Pan's Hit Papers
Peers
Comparison fields: 5 of 140
- Spectroscopy 1.1k
- Cancer Research 505
- Oncology 876
- Molecular Biology 2.1k
- Cell Biology 288
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-authors
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
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 326 | |
| 2 | 2010 | 238 | |
| 3 | Pathological implication of protein post-translational modifications in cancer Hit paper breakdown → | 2022 | 159 |
| 4 | 2007 | 135 | |
| 5 | 2005 | 127 | |
| 6 | 2005 | 117 | |
| 7 | 2009 | 101 | |
| 8 | 2005 | 98 | |
| 9 | 2007 | 96 | |
| 10 | 2011 | 96 | |
| 11 | 2006 | 95 | |
| 12 | 2014 | 92 | |
| 13 | 2013 | 87 | |
| 14 | 2006 | 86 | |
| 15 | 2006 | 83 | |
| 16 | 2012 | 81 | |
| 17 | 2012 | 80 | |
| 18 | 2017 | 78 | |
| 19 | 2009 | 71 | |
| 20 | 2010 | 71 |
About Sheng Pan
Sheng Pan is a scholar working on Molecular Biology, Spectroscopy, Oncology, Immunology and Surgery, having authored 102 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (29 papers), Mass Spectrometry Techniques and Applications (15 papers), Pancreatic and Hepatic Oncology Research (15 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Glycosylation and Glycoproteins Research (11 papers), Gut microbiota and health (6 papers), Galectins and Cancer Biology (6 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Cancer Research (505 citations), Oncology (876 citations), Molecular Biology (2.1k citations) and Cell Biology (288 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, PROTEOMICS - CLINICAL APPLICATIONS, Molecular & Cellular Proteomics 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.