Li‐Ming Gan

5.7k citations
71 papers · 3.3k · 1 hit paper · h-index 29

Impact in

Papers in

Li‐Ming Gan

68 papers receiving 3.2k citations

Li‐Ming Gan's Hit Papers

PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data 2019 · 876 citations
8760+2+4Years since publication250500750

Peers

Li‐Ming Gan
Comparison fields: 5 of 133
  • Cancer Research 378
  • Cardiology and Cardiovascular Medicine 490
  • Molecular Biology 1.3k
  • Immunology 372
  • Neurology 123
Replace Kazem Zibara with:
Kazem Zibara Lebanon
Hisakazu Ogita Japan
Hideyuki Yamawaki Japan
Zoltán Giricz Hungary
Clifford D.L. Folmes United States
Shinji Goto Japan
Y. Eugene Chen United States
Wei Chao United States
Shinichi Usui Japan
Wei Tan United States
Li‐Ming Gan relative to Kazem Zibara Lebanon Kazem Zibara's profile →
Citations per field
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Kazem Zibara · 1×
Citations per year

Countries citing papers authored by Li‐Ming Gan

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ming Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data
Hit paper breakdown →
2019876
2 2015205
3 2019162
4 2009152
5 2019134
6 2010126
7 2020109
8 200697
9 200896
10 201878
11 200569
12 202262
13 202158
14 201157
15 200656
16 201054
17 200054
18 202049
19 200043
20 202238

About Li‐Ming Gan

Li‐Ming Gan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Physiology and Immunology, having authored 71 papers that have together received 3.3k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Plant and Fungal Interactions Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Cardiovascular Function and Risk Factors (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Cancer Research (378 citations), Cardiology and Cardiovascular Medicine (490 citations), Molecular Biology (1.3k citations), Immunology (372 citations) and Neurology (123 citations). Li‐Ming Gan has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Johan Björkegren, Oscar Franzén, Peter Friberg, Sverker Jern, Julia Grönros, Sara Svedlund, Johannes Wikström, Walter Osika, Frida Dangardt and Göran Bergström. Their work appears in journals such as Atherosclerosis, Scientific Reports, Journal of Hypertension, Cardiovascular Diabetology and Journal of the American College of Cardiology.

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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