Hui Feng
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 7
- Ubiquitin and proteasome pathways 6
- Oncology 30
- Cancer Immunotherapy and Biomarkers 12
- CAR-T cell therapy research 11
- Co-authors
- Nicole Anderson (6 shared papers)Patrick Mucka (1 shared paper)Edward T. Kipreos (5 shared papers)Joseph G. Kern (1 shared paper)A. Thomas Look (13 shared papers)Weiwei Zhong (2 shared papers)John P. Kanki (7 shared papers)Fernando E. Santiago (1 shared paper)
- Journals
- Journal of Clinical Oncology (7 papers)Journal of Biological Chemistry (6 papers)International Journal of Molecular Sciences (6 papers)Frontiers in Oncology (6 papers)Cancer Cell (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hui Feng
167 papers receiving 5.2k citations
Hui Feng's Hit Papers
Peers
Comparison fields: 5 of 142
- Aging 227
- Cancer Research 711
- Cell Biology 799
- Oncology 1.0k
- Molecular Biology 2.7k
Countries citing papers authored by Hui Feng
This map shows the geographic impact of Hui Feng'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 Hui Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Feng more than expected).
Fields of papers citing papers by Hui Feng
This network shows the impact of papers produced by Hui Feng. 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 Hui Feng. The network helps show where Hui Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Feng, 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The emerging role and targetability of the TCA cycle in cancer metabolism Hit paper breakdown → | 2017 | 425 |
| 2 | 2016 | 317 | |
| 3 | 2003 | 262 | |
| 4 | 2012 | 247 | |
| 5 | 2005 | 219 | |
| 6 | 2016 | 183 | |
| 7 | 2010 | 121 | |
| 8 | 1999 | 112 | |
| 9 | 2007 | 105 | |
| 10 | 2019 | 94 | |
| 11 | 2011 | 90 | |
| 12 | 2006 | 88 | |
| 13 | 2020 | 86 | |
| 14 | 2020 | 81 | |
| 15 | 2009 | 76 | |
| 16 | 2016 | 71 | |
| 17 | 2012 | 70 | |
| 18 | 2019 | 64 | |
| 19 | 2020 | 63 | |
| 20 | 2019 | 62 |
About Hui Feng
Hui Feng is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 177 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), CAR-T cell therapy research (11 papers), Zebrafish Biomedical Research Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Epigenetics and DNA Methylation (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Aging (227 citations), Cancer Research (711 citations), Cell Biology (799 citations), Oncology (1.0k citations) and Molecular Biology (2.7k citations). Hui Feng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nicole Anderson, Patrick Mucka, Edward T. Kipreos, Joseph G. Kern, A. Thomas Look, Weiwei Zhong, John P. Kanki, Fernando E. Santiago, David M. Langenau and Jeffery L. Kutok. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, International Journal of Molecular Sciences, Frontiers in Oncology and Cancer Cell.
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.