Dan Li

2.9k citations
132 papers · 2.3k · h-index 28

Impact in

Papers in

Dan Li

124 papers receiving 2.2k citations

Peers

Dan Li
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 943
  • Cellular and Molecular Neuroscience 179
  • Computational Theory and Mathematics 174
  • Endocrine and Autonomic Systems 55
  • Neurology 75
Replace Simon Authier with:
Simon Authier United States
Christine E. Wright Australia
Dongshu Du China
Yuki Hirota Japan
Henry M. Colecraft United States
Kevin S. Thorneloe United States
Xinyan Li China
Nicholas J. Izzo United States
Sébastien Fuchs United States
Matthew James Robson United States
Dan Li relative to Simon Authier United States Simon Authier's profile →
Citations per field
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Simon Authier · 1×
Citations per year

Countries citing papers authored by Dan Li

Since Specialization
Citations

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

Fields of papers citing papers by Dan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997118
2 2016117
3 2022102
4 201187
5 201363
6 201357
7 201956
8 200755
9 202353
10 201250
11 201950
12 201746
13 201946
14 200943
15 201640
16 200738
17 200337
18 201937
19 201436
20 201536

About Dan Li

Dan Li is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 132 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Heart Rate Variability and Autonomic Control (13 papers), Blood Pressure and Hypertension Studies (11 papers), Phosphodiesterase function and regulation (10 papers), Atrial Fibrillation Management and Outcomes (8 papers), Nitric Oxide and Endothelin Effects (5 papers), Aortic Disease and Treatment Approaches (5 papers) and Cardiac Fibrosis and Remodeling (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (943 citations), Cellular and Molecular Neuroscience (179 citations), Computational Theory and Mathematics (174 citations), Endocrine and Autonomic Systems (55 citations) and Neurology (75 citations). Dan Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David J. Paterson, P K Jeffery, Neil Herring, Tom Dawson, Tingjun Hou, Youyong Li, Julia A. Shanks, Kun Liu, Hui Liu and Huiyong Sun. Their work appears in journals such as Hypertension, The Journal of Physiology, Frontiers in Neurology, Journal of Molecular and Cellular Cardiology and PLoS ONE.

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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