Renren Bai
Impact in
- Biological Psychiatry top 5%
- Organic Chemistry top 2%
- Synthesis and biological activity
- Catalytic C–H Functionalization Methods
- Synthesis and Biological Evaluation
- Click Chemistry and Applications
- Radical Photochemical Reactions
Papers in
-
- Catalytic C–H Functionalization Methods 10
- Synthesis and biological activity 9
- Synthesis and Catalytic Reactions 8
- Pharmacology 17
- Cholinesterase and Neurodegenerative Diseases 11
Renren Bai
91 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Biological Psychiatry 72
- Organic Chemistry 755
- Pharmacology 411
- Toxicology 73
- Computational Theory and Mathematics 301
Countries citing papers authored by Renren Bai
This map shows the geographic impact of Renren Bai'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 Renren Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renren Bai more than expected).
Fields of papers citing papers by Renren Bai
This network shows the impact of papers produced by Renren Bai. 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 Renren Bai. The network helps show where Renren Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Renren Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 21 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 46 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 42 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 5 | |
| 10 | Oxidative stress: The core pathogenesis and mechanism of Alzheimer’s disease Hit paper breakdown → | 2022 | 489 |
| 11 | 2021 | 68 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 51 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 35 | |
| 16 | 2019 | 10 | |
| 17 | 2018 | 12 | |
| 18 | 2016 | 20 | |
| 19 | 2016 | 19 | |
| 20 | 2013 | 14 |
About Renren Bai
Renren Bai is a scholar working on Organic Chemistry, Pharmacology, Biological Psychiatry, Complementary and alternative medicine and Biochemistry, having authored 94 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Catalytic C–H Functionalization Methods (10 papers), Chemical Synthesis and Analysis (10 papers), Chemokine receptors and signaling (10 papers), Synthesis and biological activity (9 papers), Alzheimer's disease research and treatments (9 papers), Synthesis and Catalytic Reactions (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Biological Psychiatry (72 citations), Organic Chemistry (755 citations), Pharmacology (411 citations), Toxicology (73 citations) and Computational Theory and Mathematics (301 citations). Renren Bai has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Xiang‐Yang Ye, Yuanyuan Xie, Jianan Guo, Tian Xie, Tian Xie, Xiaoying Jiang, Chuansheng Yao, Tao Zhou, Jinyi Xu and Junlong Zhu. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Enzyme Inhibition and Medicinal Chemistry, Bioorganic Chemistry, Bioorganic & Medicinal Chemistry and Journal of Medicinal Chemistry.
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.