Dan Hu

8.5k citations
215 papers · 5.3k · h-index 38

Impact in

Papers in

Dan Hu

204 papers receiving 5.2k citations

Peers

Dan Hu
Comparison fields: 5 of 175
  • Cardiology and Cardiovascular Medicine 2.0k
  • Cellular and Molecular Neuroscience 926
  • Cognitive Neuroscience 786
  • Behavioral Neuroscience 107
  • Health, Toxicology and Mutagenesis 377
Replace Martin E. Young with:
Martin E. Young United States
Richard J. Kovacs United States
Ismail Laher Canada
Yoko Hirata Japan
Theresa L. Powell United States
Antonio Granata Italy
Lina Chen China
Dan E. Berkowitz United States
Siriporn C. Chattipakorn Thailand
Geoffrey A. Head Australia
Dan Hu relative to Martin E. Young United States Martin E. Young's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005443
2 2017328
3 2004229
4 2009189
5 2011140
6 2012128
7 2011118
8 2017108
9 201490
10 201184
11 200683
12 201374
13 199571
14 201267
15 201661
16 201156
17 200954
18 202252
19 201652
20 202151

About Dan Hu

Dan Hu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis and Cognitive Neuroscience, having authored 215 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (72 papers), Ion channel regulation and function (30 papers), Cardiac Arrhythmias and Treatments (13 papers), Neuroscience and Neuropharmacology Research (12 papers), Mercury impact and mitigation studies (11 papers), Toxic Organic Pollutants Impact (11 papers), Air Quality and Health Impacts (11 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Cellular and Molecular Neuroscience (926 citations), Cognitive Neuroscience (786 citations), Behavioral Neuroscience (107 citations) and Health, Toxicology and Mutagenesis (377 citations). Dan Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Héctor Barajas-Martínez, Charles Antzelevitch, Ann M. Graybiel, Yasuo Kubota, Terra D. Barnes, Dezhe Z. Jin, Yanwei Xing, Jonathan M. Cordeiro, Xuejun Wang and Elena Burashnikov. Their work appears in journals such as Heart Rhythm, Frontiers in Physiology, PLoS ONE, Circulation and Environmental Pollution.

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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