Dingzhou Li

30 papers receiving 469 citations

Peers

Dingzhou Li
Comparison fields: 5 of 94
  • Neurology 58
  • Oncology 103
  • Small Animals 26
  • Physiology 16
  • Genetics 36
Replace Seiji Muro with:
Seiji Muro Japan
Yanfang Song China
Thorsten Gnad Germany
Ryoichi Nagata Japan
Sabira Mohammed United States
Jing Meng China
Frank Neuschäfer‐Rube Germany
Viviane Bertrand France
Vijay P. Kale United States
Manling Zhang China
Dingzhou Li relative to Seiji Muro Japan Seiji Muro's profile →
Citations per field
00.5×6.5×
Seiji Muro · 1×
Citations per year

Countries citing papers authored by Dingzhou Li

Since Specialization
Citations

This map shows the geographic impact of Dingzhou 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 Dingzhou Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingzhou Li more than expected).

Fields of papers citing papers by Dingzhou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dingzhou 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 Dingzhou Li. The network helps show where Dingzhou Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Dingzhou 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 Dingzhou Li Line = papers co-authored together Dingzhou Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 200256
3 200347
4 200341
5 201228
6 200314
7 202312
8 202312
9 200111
10 202311
11 201911
12 201010
13 20219
14 20039
15 20139
16 20248
17 20208
18 20228
19 20037
20 20167

About Dingzhou Li

Dingzhou Li is a scholar working on Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, Immunology, Small Animals and Molecular Biology, having authored 33 papers that have together received 473 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Animal testing and alternatives (4 papers), Statistical Methods in Clinical Trials (4 papers), Neural dynamics and brain function (4 papers), Immunotoxicology and immune responses (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (58 citations), Oncology (103 citations), Small Animals (26 citations), Physiology (16 citations) and Genetics (36 citations). Dingzhou Li has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Isabelle Margaill, Michel Plotkine, Nicole Croci, Catherine Marchand‐Leroux, Roscoe L. Warner, Kent J. Johnson, Jennifer Colangelo, Lina Luo, Julia Kenny and Jiri Aubrecht. Their work appears in journals such as European Journal of Pharmacology, Regulatory Toxicology and Pharmacology, Experimental Neurology, Journal of Pharmacology and Experimental Therapeutics and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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