Feng Ren
Impact in
- Health Informatics top 5%
- Catalysis top 10%
- Catalysis and Oxidation Reactions
Papers in ⓘ
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- Cancer therapeutics and mechanisms 6
- Sphingolipid Metabolism and Signaling 4
- Histone Deacetylase Inhibitors Research 4
- Epigenetics and DNA Methylation 4
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- Catalytic C–H Functionalization Methods 4
- Co-authors
- Alex Zhavoronkov (42 shared papers)Alex Aliper (21 shared papers)Shingo Ishida (6 shared papers)Li Wang (5 shared papers)Ji‐Jun Zou (5 shared papers)Xiangwen Zhang (5 shared papers)Petrina Kamya (5 shared papers)Daniil Polykovskiy (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (14 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)ACS Medicinal Chemistry Letters (4 papers)Bioorganic & Medicinal Chemistry (4 papers)Tetrahedron (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Ren
80 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 29
- Catalysis 141
- Aging 25
- Computational Theory and Mathematics 220
- Organic Chemistry 366
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 86 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 | 109 |
| 2 | 2014 | 76 | |
| 3 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery Hit paper breakdown → | 2024 | 65 |
| 4 | 2022 | 59 | |
| 5 | 2015 | 50 | |
| 6 | 2016 | 50 | |
| 7 | 2023 | 46 | |
| 8 | 2014 | 45 | |
| 9 | 2022 | 40 | |
| 10 | 2023 | 39 | |
| 11 | 2013 | 39 | |
| 12 | 2015 | 38 | |
| 13 | 2007 | 38 | |
| 14 | 2007 | 37 | |
| 15 | 1993 | 37 | |
| 16 | 2023 | 35 | |
| 17 | 1999 | 32 | |
| 18 | 2015 | 26 | |
| 19 | 1993 | 26 | |
| 20 | 2023 | 24 |
About Feng Ren
Feng Ren is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Oncology and Computational Theory and Mathematics, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Cancer therapeutics and mechanisms (6 papers), Catalysis and Oxidation Reactions (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Epigenetics and DNA Methylation (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Catalytic Processes in Materials Science (4 papers). The work is most often cited by research in Health Informatics (29 citations), Catalysis (141 citations), Aging (25 citations), Computational Theory and Mathematics (220 citations) and Organic Chemistry (366 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, Li Wang, Ji‐Jun Zou, Xiangwen Zhang, Petrina Kamya, Daniil Polykovskiy, Xichen Lin and Ting Yang. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry and Tetrahedron.
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.