Dan L. Li

1.6k citations
26 papers · 1.3k indexed · 1 hit paper · h-index 15

Dan L. Li

26 papers receiving 1.3k citations

Hit Papers

Doxorubicin Blocks Cardiomyocyte Autophagic Flux by Inhib...3592016202620192022100200300

Peers

Dan L. Li
Comparison fields: 5 of 92
  • Physiology 108
  • Cardiology and Cardiovascular Medicine 415
  • Cell Biology 217
  • Endocrine and Autonomic Systems 89
  • Biophysics 55
Replace Verónica Eisner with:
Verónica Eisner Chile
Dong I. Lee United States
Michael T. Kirber United States
Marta Novotová Slovakia
Michael Coronado United States
Masataka Fujita Japan
Fernando Benito Bartolomé Spain
Clara Prats Denmark
Ted M. Dawson United States
Pieter‐Jan Guns Belgium
Dan L. Li relative to Verónica Eisner Chile Verónica Eisner's profile →
Citations per field
00.5×3.3×
Verónica Eisner · 1×
Citations per year

Countries citing papers authored by Dan L. Li

Since Specialization
Citations

This map shows the geographic impact of Dan L. 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 L. 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 L. Li more than expected).

Fields of papers citing papers by Dan L. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202230
3 202217
4 20224
5 20218
6 20211
7 202115
8 202118
9 202028
10 20193
11 20194
12 20193
13 201829
14
Doxorubicin Blocks Cardiomyocyte Autophagic Flux by Inhibiting Lysosome Acidificationbreakdown →
2016359
15 201669
16 2014162
17 2014322
18 201355
19 201346
20 20133

About Dan L. Li

Dan L. Li is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Cardiac pacing and defibrillation studies (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Viral Infections and Immunology Research (3 papers), Ion channel regulation and function (3 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Physiology (108 citations), Cardiology and Cardiovascular Medicine (415 citations) and Cell Biology (217 citations). Dan L. Li has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Joseph A. Hill, Zhao V. Wang, Thomas G. Gillette, Nan Jiang, Xiang Luo, Alfredo Criollo, Wei Tan, Herman I. May, Viktoriia Kyrychenko and Jay W. Schneider. Their work appears in journals such as Circulation, Journal of Molecular and Cellular Cardiology, Journal of Interventional Cardiac Electrophysiology, BMJ Open and Nature Communications.

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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