Feng Ren
Impact in
- Health Informatics top 5%
- Aging top 10%
Papers in
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- Cancer therapeutics and mechanisms 6
- Protein Kinase Regulation and GTPase Signaling 4
- Sphingolipid Metabolism and Signaling 4
- Epigenetics and DNA Methylation 4
- Histone Deacetylase Inhibitors Research 4
- Ubiquitin and proteasome pathways 3
-
- Catalytic C–H Functionalization Methods 4
- Co-authors
- Alex Zhavoronkov (45 shared papers)Alex Aliper (21 shared papers)Shingo Ishida (5 shared papers)Petrina Kamya (5 shared papers)Daniil Polykovskiy (4 shared papers)Xichen Lin (14 shared papers)Xiao Ding (23 shared papers)Dmitry S. Bezrukov (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (16 papers)ACS Medicinal Chemistry Letters (4 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Bioorganic & Medicinal Chemistry (4 papers)Journal of Chemical Information and Modeling (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Ren
68 papers receiving 1.2k citations
Feng Ren's Hit Papers
Peers
Comparison fields: 5 of 128
- Health Informatics 28
- Aging 28
- Computational Theory and Mathematics 221
- Organic Chemistry 268
- Molecular Biology 433
Countries citing papers authored by Feng Ren
This map shows the geographic impact of Feng Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ren more than expected).
Fields of papers citing papers by Feng Ren
This network shows the impact of papers produced by Feng Ren. 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 Ren. The network helps show where Feng Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ren, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chemistry42: An AI-Driven Platform for Molecular Design and Optimization Hit paper breakdown → | 2023 | 124 |
| 2 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery Hit paper breakdown → | 2024 | 77 |
| 3 | 2022 | 62 | |
| 4 | 2023 | 54 | |
| 5 | 2015 | 51 | |
| 6 | 2022 | 51 | |
| 7 | 2016 | 50 | |
| 8 | 2023 | 46 | |
| 9 | 2023 | 46 | |
| 10 | 2015 | 38 | |
| 11 | 1993 | 37 | |
| 12 | 1993 | 26 | |
| 13 | 2023 | 26 | |
| 14 | 2023 | 26 | |
| 15 | 2015 | 25 | |
| 16 | 2020 | 25 | |
| 17 | 2018 | 23 | |
| 18 | 1994 | 23 | |
| 19 | 2014 | 23 | |
| 20 | 2016 | 21 |
About Feng Ren
Feng Ren is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Materials Chemistry and Oncology, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Cancer therapeutics and mechanisms (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Epigenetics and DNA Methylation (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Health Informatics (28 citations), Aging (28 citations), Computational Theory and Mathematics (221 citations), Organic Chemistry (268 citations) and Molecular Biology (433 citations). Feng Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Alex Zhavoronkov, Alex Aliper, Shingo Ishida, Petrina Kamya, Daniil Polykovskiy, Xichen Lin, Xiao Ding, Dmitry S. Bezrukov, Ting Yang and Nobuyuki Takeuchi. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry and Journal of Chemical Information and Modeling.
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.