Ruobing Ren
Impact in
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- Receptor Mechanisms and Signaling
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
Papers in
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- Lipid Membrane Structure and Behavior 4
- Receptor Mechanisms and Signaling 4
- Sphingolipid Metabolism and Signaling 4
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 2
- Oncology 3
- Co-authors
- Nieng Yan (3 shared papers)Lizhe Zhu (3 shared papers)Bin Pang (7 shared papers)Hongli Hu (3 shared papers)Yuan He (2 shared papers)Bing Siang Gan (5 shared papers)Chuangye Yan (2 shared papers)Ying‐Chih Chiang (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cell Research (3 papers)Nature Communications (3 papers)Biochemical and Biophysical Research Communications (2 papers)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ruobing Ren
27 papers receiving 362 citations
Peers
Comparison fields: 5 of 81
- Virology 20
- Molecular Biology 215
- Cellular and Molecular Neuroscience 45
- Biochemistry 17
- Physiology 8
Countries citing papers authored by Ruobing Ren
This map shows the geographic impact of Ruobing 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 Ruobing Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruobing Ren more than expected).
Fields of papers citing papers by Ruobing Ren
This network shows the impact of papers produced by Ruobing 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 Ruobing Ren. The network helps show where Ruobing Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruobing 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 53 | |
| 2 | 2022 | 41 | |
| 3 | 2020 | 41 | |
| 4 | 2021 | 38 | |
| 5 | 2015 | 33 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 19 | |
| 9 | 2015 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 2 |
About Ruobing Ren
Ruobing Ren is a scholar working on Molecular Biology, Oncology, Pharmacology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 27 papers that have together received 365 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Receptor Mechanisms and Signaling (4 papers), Sphingolipid Metabolism and Signaling (4 papers), RNA and protein synthesis mechanisms (4 papers), Hormonal and reproductive studies (3 papers), Lipid metabolism and biosynthesis (3 papers), Protein Structure and Dynamics (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Virology (20 citations), Molecular Biology (215 citations), Cellular and Molecular Neuroscience (45 citations), Biochemistry (17 citations) and Physiology (8 citations). Ruobing Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nieng Yan, Lizhe Zhu, Bin Pang, Hongli Hu, Yuan He, Bing Siang Gan, Chuangye Yan, Ying‐Chih Chiang, Sheng Wang and Qi Hao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Research, Nature Communications, Biochemical and Biophysical Research Communications and Nature Structural & Molecular Biology.
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.