Fei Su
Impact in
-
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
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- Advanced Breast Cancer Therapies
Papers in
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- Advanced Breast Cancer Therapies 12
- Oncology 11
- HER2/EGFR in Cancer Research 4
- Lung Cancer Research Studies 4
- Cancer Treatment and Pharmacology 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Nadia Solovieff (7 shared papers)Naveen Babbar (5 shared papers)Tetiana Taran (5 shared papers)Olga Martínez‐Sáez (1 shared paper)Núria Chic (1 shared paper)Fara Brasó‐Maristany (1 shared paper)Agnes Lteif (2 shared papers)Anwesha Chaudhury (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)Annals of Oncology (3 papers)Dose-Response (2 papers)Cancer Research (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Fei Su
27 papers receiving 339 citations
Peers
Comparison fields: 5 of 47
- Cancer Research 118
- Pulmonary and Respiratory Medicine 184
- Oncology 139
- Genetics 34
- Public Health, Environmental and Occupational Health 41
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2020 | 35 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 25 | |
| 5 | 2019 | 19 | |
| 6 | 2018 | 17 | |
| 7 | 2023 | 17 | |
| 8 | 2012 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2022 | 3 |
About Fei Su
Fei Su is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Public Health, Environmental and Occupational Health, Cancer Research and Infectious Diseases, having authored 29 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (12 papers), Cancer Genomics and Diagnostics (4 papers), HER2/EGFR in Cancer Research (4 papers), Lung Cancer Research Studies (4 papers), Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (3 papers), Cancer Treatment and Pharmacology (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (118 citations), Pulmonary and Respiratory Medicine (184 citations), Oncology (139 citations), Genetics (34 citations) and Public Health, Environmental and Occupational Health (41 citations). Fei Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Nadia Solovieff, Naveen Babbar, Tetiana Taran, Olga Martínez‐Sáez, Núria Chic, Fara Brasó‐Maristany, Agnes Lteif, Anwesha Chaudhury, Laia Paré and Stephen Chia. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Dose-Response, Cancer Research and Clinical Cancer Research.
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.