Ping Bai
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Histone Deacetylase Inhibitors Research 10
- Protein Degradation and Inhibitors 9
- Ubiquitin and proteasome pathways 8
- Pharmacology 11
- Cholinesterase and Neurodegenerative Diseases 10
- Co-authors
- Zhengyu Peng (5 shared papers)Sandra K. Weller (8 shared papers)Changning Wang (34 shared papers)Zhipei Sang (7 shared papers)Jianxing Song (2 shared papers)Zhenghuai Tan (4 shared papers)Keren Wang (5 shared papers)George Korza (2 shared papers)
- Journals
- European Journal of Medicinal Chemistry (7 papers)Journal of Virology (6 papers)Journal of Medicinal Chemistry (4 papers)Biochemistry (3 papers)Bioorganic Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ping Bai
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Pharmacology 300
- Biological Psychiatry 25
- Computational Theory and Mathematics 174
- Complementary and alternative medicine 72
- Molecular Biology 529
Countries citing papers authored by Ping Bai
This map shows the geographic impact of Ping 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 Ping Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Bai more than expected).
Fields of papers citing papers by Ping Bai
This network shows the impact of papers produced by Ping 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 Ping Bai. The network helps show where Ping Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 95 | |
| 2 | 2017 | 87 | |
| 3 | 2021 | 77 | |
| 4 | 1998 | 74 | |
| 5 | 2019 | 56 | |
| 6 | 2010 | 54 | |
| 7 | 2001 | 50 | |
| 8 | 2011 | 40 | |
| 9 | 2020 | 38 | |
| 10 | 2023 | 34 | |
| 11 | 1999 | 34 | |
| 12 | 2005 | 33 | |
| 13 | 2022 | 30 | |
| 14 | 2016 | 29 | |
| 15 | 2023 | 27 | |
| 16 | 2018 | 27 | |
| 17 | 2015 | 26 | |
| 18 | 2010 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2022 | 20 |
About Ping Bai
Ping Bai is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Physiology and Hematology, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), Histone Deacetylase Inhibitors Research (10 papers), Alzheimer's disease research and treatments (9 papers), Protein Degradation and Inhibitors (9 papers), Ubiquitin and proteasome pathways (8 papers), Herpesvirus Infections and Treatments (8 papers), Multiple Myeloma Research and Treatments (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Pharmacology (300 citations), Biological Psychiatry (25 citations), Computational Theory and Mathematics (174 citations), Complementary and alternative medicine (72 citations) and Molecular Biology (529 citations). Ping Bai has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhengyu Peng, Sandra K. Weller, Changning Wang, Zhipei Sang, Jianxing Song, Zhenghuai Tan, Keren Wang, George Korza, Xiaoxia Lü and Wenmin Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Virology, Journal of Medicinal Chemistry, Biochemistry and Bioorganic 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.