Fei Su
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
-
- Cancer Cells and Metastasis
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Genomics and Phylogenetic Studies 2
- Oncology 7
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Mikhail G. Kolonin (5 shared papers)John DiGiovanni (3 shared papers)Achinto Saha (3 shared papers)Alexes C. Daquinag (2 shared papers)Naoki Takaya (4 shared papers)Hirofumi Shoun (4 shared papers)Brad Snyder (1 shared paper)Zhan‐Guo Gao (1 shared paper)
- Journals
- Journal of Bacteriology (6 papers)Cancer Research (3 papers)Bioscience Biotechnology and Biochemistry (2 papers)Oncogene (2 papers)Molecular Therapy — Oncolytics (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fei Su
36 papers receiving 866 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 239
- Oncology 210
- Molecular Biology 472
- Pharmacology 47
- Biochemistry 38
Countries citing papers authored by Fei Su
This map shows the geographic impact of Fei 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 Fei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Su more than expected).
Fields of papers citing papers by Fei Su
This network shows the impact of papers produced by Fei 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 Fei Su. The network helps show where Fei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 136 | |
| 2 | 2017 | 103 | |
| 3 | 2017 | 78 | |
| 4 | 2004 | 67 | |
| 5 | 2018 | 61 | |
| 6 | 2014 | 50 | |
| 7 | 2013 | 38 | |
| 8 | 2009 | 35 | |
| 9 | 2018 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2012 | 23 | |
| 13 | 2004 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2011 | 15 | |
| 16 | 2012 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2012 | 14 | |
| 19 | 2011 | 14 | |
| 20 | 2004 | 13 |
About Fei Su
Fei Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 37 papers that have together received 879 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), Prostate Cancer Treatment and Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Biofuel production and bioconversion (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Mesenchymal stem cell research (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cancer Research (239 citations), Oncology (210 citations), Molecular Biology (472 citations), Pharmacology (47 citations) and Biochemistry (38 citations). Fei Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Mikhail G. Kolonin, John DiGiovanni, Achinto Saha, Alexes C. Daquinag, Naoki Takaya, Hirofumi Shoun, Brad Snyder, Zhan‐Guo Gao, Lakshmi Reddy Bollu and Guang Gao. Their work appears in journals such as Journal of Bacteriology, Cancer Research, Bioscience Biotechnology and Biochemistry, Oncogene and Molecular Therapy — Oncolytics.
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.