Feng Su
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Sphingolipid Metabolism and Signaling 3
- Gut microbiota and health 2
- Peroxisome Proliferator-Activated Receptors 2
-
- Cancer, Lipids, and Metabolism 7
- Co-authors
- Srinivasa T. Reddy (23 shared papers)Robin Farias‐Eisner (20 shared papers)M. Amneus (4 shared papers)Katherine R. Kozak (3 shared papers)Víctor Grijalva (12 shared papers)Alan M. Fogelman (12 shared papers)Kym F. Faull (3 shared papers)Mohamad Navab (11 shared papers)
- Journals
- Journal of Lipid Research (3 papers)American Journal of Obstetrics and Gynecology (3 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Feng Su
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 461
- Reproductive Medicine 238
- Spectroscopy 268
- Molecular Biology 727
- Immunology 165
Countries citing papers authored by Feng Su
This map shows the geographic impact of Feng Su'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 Feng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Su more than expected).
Fields of papers citing papers by Feng Su
This network shows the impact of papers produced by Feng Su. 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 Feng Su. The network helps show where Feng Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Su, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 263 | |
| 2 | 2003 | 231 | |
| 3 | 2008 | 231 | |
| 4 | 2010 | 173 | |
| 5 | 2015 | 115 | |
| 6 | 2009 | 89 | |
| 7 | 2013 | 73 | |
| 8 | 2011 | 62 | |
| 9 | 2012 | 61 | |
| 10 | 2011 | 58 | |
| 11 | 2013 | 58 | |
| 12 | 2007 | 54 | |
| 13 | 2011 | 50 | |
| 14 | 2017 | 49 | |
| 15 | 2009 | 44 | |
| 16 | 2015 | 42 | |
| 17 | 2011 | 37 | |
| 18 | 2012 | 33 | |
| 19 | 2018 | 27 | |
| 20 | 2021 | 19 |
About Feng Su
Feng Su is a scholar working on Molecular Biology, Cancer Research, Surgery, Cardiology and Cardiovascular Medicine and Spectroscopy, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (7 papers), Cholesterol and Lipid Metabolism (5 papers), Lipid metabolism and disorders (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Gut microbiota and health (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Cancer Research (461 citations), Reproductive Medicine (238 citations), Spectroscopy (268 citations), Molecular Biology (727 citations) and Immunology (165 citations). Feng Su has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Srinivasa T. Reddy, Robin Farias‐Eisner, M. Amneus, Katherine R. Kozak, Víctor Grijalva, Alan M. Fogelman, Kym F. Faull, Mohamad Navab, Julian P. Whitelegge and Jennifer M. Lang. Their work appears in journals such as Journal of Lipid Research, American Journal of Obstetrics and Gynecology, Proceedings of the National Academy of Sciences, PLoS ONE and Frontiers in Microbiology.
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.