Baiming Sun

3.1k citations
31 papers · 2.5k · h-index 23

Impact in

Papers in

Baiming Sun

31 papers receiving 2.5k citations

Peers

Baiming Sun
Comparison fields: 5 of 79
  • Genetics 922
  • Cardiology and Cardiovascular Medicine 506
  • Molecular Biology 1.2k
  • Molecular Medicine 69
  • Surgery 420
Replace Gloria Abizanda with:
Gloria Abizanda Spain
Ryan Middleton United States
Sharon Etzion Israel
Carolina Soler‐Botija Spain
Karl‐Henrik Grinnemo Sweden
Aiguo Ni United States
Linda Marbán United States
Radka Holbová Israel
Beatriz Pelacho Spain
Cristina Prat‐Vidal Spain
Baiming Sun relative to Gloria Abizanda Spain Gloria Abizanda's profile →
Citations per field
00.5×1.5×1.9×
Gloria Abizanda · 1×
Citations per year

Countries citing papers authored by Baiming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Baiming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012378
2 2012243
3 2015208
4 2014197
5 2014126
6 201698
7 201497
8 201496
9 201289
10 201279
11 201278
12 201378
13 201478
14 201478
15 201273
16 200572
17 201070
18 202370
19 200961
20 201454

About Baiming Sun

Baiming Sun is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Immunology, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Congenital heart defects research (9 papers), Cardiac Fibrosis and Remodeling (8 papers), Tissue Engineering and Regenerative Medicine (5 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Biochemical and Structural Characterization (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Genetics (922 citations), Cardiology and Cardiovascular Medicine (506 citations), Molecular Biology (1.2k citations), Molecular Medicine (69 citations) and Surgery (420 citations). Baiming Sun has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Eduardo Marbán, Ke Cheng, Konstantinos G. Malliaras, Wei-Xin Liu, Linda Marbán, Giselle Galang, Geoffrey de Couto, Tao‐Sheng Li, Yiqiang Zhang and Deliang Shen. Their work appears in journals such as Journal of the American College of Cardiology, Cardiovascular Research, EMBO Molecular Medicine, Circulation Research and Biomaterials.

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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