Ge Li‐Sha

689 citations
32 papers · 514 · h-index 14

Impact in

Papers in

    • Viral Infections and Immunology Research 9
    • Cardiac electrophysiology and arrhythmias 5
    • Heart rate and cardiovascular health 4
    • Cardiomyopathy and Myosin Studies 3
    • Nicotinic Acetylcholine Receptors Study 7
    • Receptor Mechanisms and Signaling 3

Ge Li‐Sha

30 papers receiving 510 citations

Peers

Ge Li‐Sha
Comparison fields: 5 of 76
  • Neurology 85
  • Cardiology and Cardiovascular Medicine 219
  • Biological Psychiatry 10
  • Immunology 75
  • Molecular Biology 223
Replace Wenjun Deng with:
Wenjun Deng China
Olivia Osborne United States
Luiz Ricardo C. Vasconcellos Brazil
David Zhang United States
Stephanie Cicalese United States
Nora Raulien Germany
François Marchildon United States
Sarah Rosli Australia
Raphael Gomes Ferreira Brazil
Hanne M. M. Rooijackers Netherlands
Ge Li‐Sha relative to Wenjun Deng China Wenjun Deng's profile →
Citations per field
00.5×4.8×
Wenjun Deng · 1×
Citations per year

Countries citing papers authored by Ge Li‐Sha

Since Specialization
Citations

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

Fields of papers citing papers by Ge Li‐Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018118
2 201236
3 201034
4 201431
5 201628
6 201723
7 201823
8 201322
9 201521
10 200821
11 201819
12 202019
13 201618
14 201514
15 201312
16 201611
17 201810
18 20199
19 20219
20 20188

About Ge Li‐Sha

Ge Li‐Sha is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Neurology, Epidemiology and Electrical and Electronic Engineering, having authored 32 papers that have together received 514 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (9 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Vagus Nerve Stimulation Research (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Advanced Power Amplifier Design (4 papers), Heart rate and cardiovascular health (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Neurology (85 citations), Cardiology and Cardiovascular Medicine (219 citations), Biological Psychiatry (10 citations), Immunology (75 citations) and Molecular Biology (223 citations). Ge Li‐Sha has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuechun Li, Zhewei Shi, Jiafeng Lin, Depu Zhou, Jinglin Zhao, Teng Zhang, Zheng Cheng, Qin Luo, Li Liu and Chao Xing. Their work appears in journals such as Frontiers in Pharmacology, Current Pharmaceutical Design, BMC Cardiovascular Disorders, Virulence and PLoS ONE.

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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