Baichen Xiong
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Cholinesterase and Neurodegenerative Diseases 7
-
- Computational Drug Discovery Methods 6
- Co-authors
- Haopeng Sun (13 shared papers)Shuaishuai Xing (9 shared papers)Yao Chen (8 shared papers)Qinghong Liao (6 shared papers)Wenyuan Liu (7 shared papers)Qi Li (4 shared papers)Feng Feng (5 shared papers)Ying Chen (6 shared papers)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Journal of Medicinal Chemistry (3 papers)ACS Chemical Neuroscience (2 papers)International Journal of Biological Macromolecules (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- China
In The Last Decade
Baichen Xiong
11 papers receiving 445 citations
Peers
Comparison fields: 5 of 73
- Pharmacology 233
- Computational Theory and Mathematics 157
- Complementary and alternative medicine 54
- Biological Psychiatry 9
- Organic Chemistry 89
Countries citing papers authored by Baichen Xiong
This map shows the geographic impact of Baichen Xiong'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 Baichen Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baichen Xiong more than expected).
Fields of papers citing papers by Baichen Xiong
This network shows the impact of papers produced by Baichen Xiong. 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 Baichen Xiong. The network helps show where Baichen Xiong may publish in the future.
Co-authors
The 25 scholars most cited alongside Baichen Xiong, 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 | 2021 | 135 | |
| 2 | 2020 | 79 | |
| 3 | 2020 | 65 | |
| 4 | 2021 | 60 | |
| 5 | 2021 | 36 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2024 | 9 | |
| 10 | 2020 | 6 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 |
About Baichen Xiong
Baichen Xiong is a scholar working on Pharmacology, Computational Theory and Mathematics, Complementary and alternative medicine, Physiology and Organic Chemistry, having authored 13 papers that have together received 450 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (7 papers), Computational Drug Discovery Methods (6 papers), Alzheimer's disease research and treatments (3 papers), Medicinal Plants and Neuroprotection (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), melanin and skin pigmentation (2 papers), Protein Degradation and Inhibitors (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Pharmacology (233 citations), Computational Theory and Mathematics (157 citations), Complementary and alternative medicine (54 citations), Biological Psychiatry (9 citations) and Organic Chemistry (89 citations). Baichen Xiong has collaborated with scholars based in China. Frequent co-authors include Haopeng Sun, Shuaishuai Xing, Yao Chen, Qinghong Liao, Wenyuan Liu, Qi Li, Feng Feng, Ying Chen, Ying Chen and Wei Li. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, ACS Chemical Neuroscience, International Journal of Biological Macromolecules and Bioorganic & 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.