Feng Bi
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 9
- Wnt/β-catenin signaling in development and cancer 4
- Melanoma and MAPK Pathways 4
- Cell death mechanisms and regulation 4
- Oncology 13
- Cancer-related Molecular Pathways 8
- Co-authors
- Qiulin Tang (25 shared papers)Hongwei Xia (16 shared papers)Huanji Xu (12 shared papers)Yi Zheng (11 shared papers)Sheng Zhou (6 shared papers)Yan Xue (6 shared papers)Xuebiao Yao (5 shared papers)Yanglin Pan (4 shared papers)
- Journals
- Cell Death Discovery (3 papers)Biochemical and Biophysical Research Communications (3 papers)Cancer Letters (2 papers)Molecular and Cellular Biology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Feng Bi
50 papers receiving 1.8k citations
Feng Bi's Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 464
- Cell Biology 315
- Molecular Biology 1.1k
- Oncology 284
- Biological Psychiatry 23
Countries citing papers authored by Feng Bi
This map shows the geographic impact of Feng Bi'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 Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Bi more than expected).
Fields of papers citing papers by Feng Bi
This network shows the impact of papers produced by Feng Bi. 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 Bi. The network helps show where Feng Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Bi, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cholesterol metabolism: New functions and therapeutic approaches in cancer Hit paper breakdown → | 2020 | 269 |
| 2 | 2004 | 153 | |
| 3 | 2020 | 108 | |
| 4 | 2010 | 95 | |
| 5 | 2004 | 94 | |
| 6 | 2017 | 88 | |
| 7 | 2012 | 74 | |
| 8 | 2001 | 67 | |
| 9 | 2006 | 58 | |
| 10 | 2021 | 58 | |
| 11 | 2014 | 57 | |
| 12 | 2008 | 55 | |
| 13 | 2010 | 52 | |
| 14 | 2007 | 44 | |
| 15 | 2001 | 39 | |
| 16 | 2021 | 38 | |
| 17 | 2005 | 37 | |
| 18 | 2021 | 36 | |
| 19 | 2019 | 35 | |
| 20 | 2006 | 34 |
About Feng Bi
Feng Bi is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Surgery, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cancer-related Molecular Pathways (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Cancer, Lipids, and Metabolism (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Melanoma and MAPK Pathways (4 papers), Cell death mechanisms and regulation (4 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Cancer Research (464 citations), Cell Biology (315 citations), Molecular Biology (1.1k citations), Oncology (284 citations) and Biological Psychiatry (23 citations). Feng Bi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiulin Tang, Hongwei Xia, Huanji Xu, Yi Zheng, Sheng Zhou, Yan Xue, Xuebiao Yao, Yanglin Pan, Ming Liu and Daiming Fan. Their work appears in journals such as Cell Death Discovery, Biochemical and Biophysical Research Communications, Cancer Letters, Molecular and Cellular Biology 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.