Pidong Li

5.7k citations
10 papers · 3.8k indexed · 1 hit paper · h-index 8

Impact in

Papers in

Pidong Li

10 papers receiving 3.8k citations

Hit Papers

TCMSP: a database of systems pharmacology for drug discovery from herbal medicines 2014 · 3.5k citations
3.5k201420262018202210002.0k3.0k

Peers

Pidong Li
Comparison fields: 5 of 112
  • Pharmacology 1.4k
  • Complementary and alternative medicine 994
  • Computational Theory and Mathematics 772
  • Pharmacology 664
  • Biological Psychiatry 96
Replace Zihu Guo with:
Zihu Guo China
Yinfeng Yang China
Bohui Li China
Weiyang Tao China
Jiangyong Gu China
Tiantai Zhang China
Shihuan Tang China
Xianglu Rong China
Shi-Bing Su China
Pidong Li relative to Zihu Guo China Zihu Guo's profile →
Citations per field
00.5×1.5×
Zihu Guo · 1×
Citations per year

Countries citing papers authored by Pidong Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pidong Li Line = papers co-authored together Pidong Li links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20229
2 202135
3 20214
4 202058
5 201947
6 201915
7 201997
8 20157
9
TCMSP: a database of systems pharmacology for drug discovery from herbal medicines
Hit paper breakdown →
20143527
10 201419

About Pidong Li

Pidong Li is a scholar working on Pharmacology, Sensory Systems, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 10 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA regulation and disease (3 papers), Computational Drug Discovery Methods (3 papers), Congenital heart defects research (3 papers), Genetic Neurodegenerative Diseases (3 papers), RNA modifications and cancer (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). The work is most often cited by research in Pharmacology (1.4k citations), Complementary and alternative medicine (994 citations), Computational Theory and Mathematics (772 citations), Pharmacology (664 citations) and Biological Psychiatry (96 citations). Pidong Li has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Peng Li, Jinlong Ru, Chao Huang, Ling Yang, Yonghua Wang, Xue Xu, Bohui Li, Yan Li, Jinan Wang and Yinfeng Yang. Their work appears in journals such as Journal of Medical Genetics, Bioscience Reports, PLoS Biology, European Journal of Human Genetics and BMC Systems 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.

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