Pidong Li
Impact in
- Pharmacology top 0.2%
- Pharmacological Effects of Natural Compounds
- Flavonoids in Medical Research
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- Traditional Chinese Medicine Analysis
Papers in
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- Congenital heart defects research 2
- RNA modifications and cancer 1
- Metabolomics and Mass Spectrometry Studies 1
- Muscle Physiology and Disorders 1
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- Genetic Neurodegenerative Diseases 2
- Co-authors
- Chao Huang (2 shared papers)Peng Li (2 shared papers)Ling Yang (2 shared papers)Jinlong Ru (2 shared papers)Yonghua Wang (2 shared papers)Xue Xu (2 shared papers)Yinfeng Yang (1 shared paper)Wei Zhou (1 shared paper)
- Journals
- Journal of Medical Genetics (3 papers)European Journal of Human Genetics (1 paper)Journal of Cheminformatics (1 paper)Bioscience Reports (1 paper)PLoS Biology (1 paper)
- Partner nations
- ChinaNetherlandsHong Kong
In The Last Decade
Pidong Li
10 papers receiving 3.9k citations
Pidong Li's Hit Papers
Peers
Comparison fields: 5 of 106
- Pharmacology 864
- Complementary and alternative medicine 642
- Computational Theory and Mathematics 566
- Pharmacology 491
- Biological Psychiatry 60
Countries citing papers authored by Pidong Li
This map shows the geographic impact of Pidong Li'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 Pidong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pidong Li more than expected).
Fields of papers citing papers by Pidong Li
This network shows the impact of papers produced by Pidong Li. 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 Pidong Li. The network helps show where Pidong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pidong Li, 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 | TCMSP: a database of systems pharmacology for drug discovery from herbal medicines Hit paper breakdown → | 2014 | 3682 |
| 2 | 2019 | 100 | |
| 3 | 2020 | 66 | |
| 4 | 2019 | 53 | |
| 5 | 2021 | 36 | |
| 6 | 2014 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2021 | 4 |
About Pidong Li
Pidong Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Genetics and Pharmacology, having authored 10 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Genetic Neurodegenerative Diseases (2 papers), Congenital heart defects research (2 papers), RNA modifications and cancer (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), MicroRNA in disease regulation (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Pharmacology (864 citations), Complementary and alternative medicine (642 citations), Computational Theory and Mathematics (566 citations), Pharmacology (491 citations) and Biological Psychiatry (60 citations). Pidong Li has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Chao Huang, Peng Li, Ling Yang, Jinlong Ru, Yonghua Wang, Xue Xu, Yinfeng Yang, Wei Zhou, Yan Li and Jinan Wang. Their work appears in journals such as Journal of Medical Genetics, European Journal of Human Genetics, Journal of Cheminformatics, Bioscience Reports and PLoS 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.