Feng Yan
Impact in
- Cancer Research top 10%
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 3
- Immunology 11
- Immune cells in cancer 6
- Immune Cell Function and Interaction 4
- Co-authors
- David Powell (3 shared papers)Nicholas C. Wong (5 shared papers)David J. Curtis (5 shared papers)Peter G. Schultz (2 shared papers)Le Ying (11 shared papers)Eric C. Peters (1 shared paper)Sheng Ding (1 shared paper)Jeong Tae (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Clinical and Experimental Pharmacology and Physiology (2 papers)Frontiers in Oncology (2 papers)Leukemia (2 papers)Rice (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Feng Yan
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 149
- Immunology 209
- Molecular Biology 671
- Oncology 148
- Molecular Medicine 25
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng Yan. 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 Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 259 | |
| 2 | 2006 | 241 | |
| 3 | 2019 | 74 | |
| 4 | 2009 | 74 | |
| 5 | 2020 | 60 | |
| 6 | 2018 | 52 | |
| 7 | 2018 | 43 | |
| 8 | 2017 | 36 | |
| 9 | 2018 | 32 | |
| 10 | 2020 | 30 | |
| 11 | 2017 | 30 | |
| 12 | 2017 | 27 | |
| 13 | 2018 | 25 | |
| 14 | 2016 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2018 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2003 | 11 |
About Feng Yan
Feng Yan is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Hematology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), RNA Interference and Gene Delivery (4 papers), Plant-Microbe Interactions and Immunity (4 papers), Immune Cell Function and Interaction (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer-related molecular mechanisms research (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (149 citations), Immunology (209 citations), Molecular Biology (671 citations), Oncology (148 citations) and Molecular Medicine (25 citations). Feng Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include David Powell, Nicholas C. Wong, David J. Curtis, Peter G. Schultz, Le Ying, Eric C. Peters, Sheng Ding, Jeong Tae, Shuibing Chen and Hans R. Schöler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical and Experimental Pharmacology and Physiology, Frontiers in Oncology, Leukemia and Rice.
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.