Feng Su
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Cancer, Lipids, and Metabolism 8
-
- Ovarian cancer diagnosis and treatment 4
- Co-authors
- Srinivasa T. ReddyRobin Farias‐EisnerM. AmneusKatherine R. KozakVíctor GrijalvaAlan M. FogelmanKym F. FaullMohamad Navab
- Journals
- American Journal of Obstetrics and Gynecology (3 papers)Journal of Lipid Research (3 papers)Proceedings of the National Academy of Sciences (2 papers)Technology in Cancer Research & Treatment (1 paper)Biomarker Insights (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Feng Su
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 555
- Reproductive Medicine 304
- Spectroscopy 298
- Molecular Biology 853
- Immunology 209
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 13 | |
| 4 | 2020 | 0 | |
| 5 | 2020 | 8 | |
| 6 | 2018 | 27 | |
| 7 | 2016 | 9 | |
| 8 | 2015 | 13 | |
| 9 | 2015 | 41 | |
| 10 | 2015 | 112 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 73 | |
| 13 | 2013 | 58 | |
| 14 | 2011 | 57 | |
| 15 | 2011 | 62 | |
| 16 | 2011 | 50 | |
| 17 | 2010 | 14 | |
| 18 | 2009 | 44 | |
| 19 | 2008 | 231 | |
| 20 | 2007 | 6 |
About Feng Su
Feng Su is a scholar working on Cancer Research, Reproductive Medicine, Molecular Medicine, Ophthalmology and Clinical Biochemistry, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (8 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 (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Retinal Diseases and Treatments (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Cancer Research (555 citations), Reproductive Medicine (304 citations), Spectroscopy (298 citations), Molecular Biology (853 citations) and Immunology (209 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 American Journal of Obstetrics and Gynecology, Journal of Lipid Research, Proceedings of the National Academy of Sciences, Technology in Cancer Research & Treatment and Biomarker Insights.
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.