Qun Sha

1.0k citations
25 papers · 788 · h-index 14

Impact in

Papers in

Qun Sha

25 papers receiving 769 citations

Peers

Qun Sha
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 335
  • Pathology and Forensic Medicine 194
  • Cellular and Molecular Neuroscience 184
  • Molecular Biology 551
  • Developmental Neuroscience 17
Replace Andrew K. Snabaitis with:
Andrew K. Snabaitis United Kingdom
Su‐Hyun Jo South Korea
Angelia A. Doye United States
Agustín Guerrero‐Hernández Mexico
Qunying Yuan United States
Rafael Mejía-Alvarez United States
Kazumi Iwaki Japan
Meike Kuschel United States
Julio Altamirano Mexico
Gregory M. Martin United States
Qun Sha relative to Andrew K. Snabaitis United Kingdom Andrew K. Snabaitis's profile →
Citations per field
00.5×3.1×
Andrew K. Snabaitis · 1×
Citations per year

Countries citing papers authored by Qun Sha

Since Specialization
Citations

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

Fields of papers citing papers by Qun Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996143
2 199983
3 199982
4 199660
5 199859
6 200155
7 199649
8 200742
9 200137
10 201135
11 200129
12 200123
13 200821
14 202017
15 19969
16 20238
17 20018
18 20037
19 20166
20 20166

About Qun Sha

Qun Sha is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Oncology, having authored 25 papers that have together received 788 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (11 papers), Cardiac Arrhythmias and Treatments (6 papers), Atrial Fibrillation Management and Outcomes (6 papers), Neuroscience and Neural Engineering (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac pacing and defibrillation studies (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (335 citations), Pathology and Forensic Medicine (194 citations), Cellular and Molecular Neuroscience (184 citations), Molecular Biology (551 citations) and Developmental Neuroscience (17 citations). Qun Sha has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Colin G. Nichols, Joseph C. Koster, Anatoli N. Lopatin, Elena Makhina, Show‐Ling Shyng, Wade L. Pearson, Robert W. Mercer, Thomas P. Flagg, Jeanne M. Nerbonne and Wei Wang. Their work appears in journals such as The Journal of Physiology, Journal of Biological Chemistry, Circulation Research, Circulation Arrhythmia and Electrophysiology and Proceedings of the National Academy of Sciences.

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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