Ming Long

866 citations
34 papers · 684 · h-index 14

Impact in

    • Atrial Fibrillation Management and Outcomes
    • Cardiac electrophysiology and arrhythmias
    • Acute Myocardial Infarction Research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications
    • Nanoparticle-Based Drug Delivery

Papers in

Ming Long

32 papers receiving 669 citations

Peers

Ming Long
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 210
  • Biomaterials 102
  • Molecular Medicine 29
  • Internal Medicine 12
  • Surgery 143
Replace Jia Zhou with:
Jia Zhou China
Komal Patel India
Jean‐Christophe Charniot France
Hui‐Wen Cheng Taiwan
Andreas Fisch Germany
Ta-Jen Wu Taiwan
Maria Loredo Mexico
Noëlle Vignat France
Wen‐Chin Ko Taiwan
J. Callaghan United Kingdom
Ming Long relative to Jia Zhou China Jia Zhou's profile →
Citations per field
00.5×3.5×
Jia Zhou · 1×
Citations per year

Countries citing papers authored by Ming Long

Since Specialization
Citations

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

Fields of papers citing papers by Ming Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015120
2 2019103
3 2018102
4 201452
5 201442
6 201525
7 201524
8 201522
9 200921
10 202021
11 201417
12 202016
13 202014
14 201914
15 201713
16 201711
17 201811
18 20088
19 20106
20 20125

About Ming Long

Ming Long is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Epidemiology and Biochemistry, having authored 34 papers that have together received 684 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Sulfur Compounds in Biology (3 papers), Receptor Mechanisms and Signaling (3 papers), Acute Myocardial Infarction Research (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cell Adhesion Molecules Research (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (210 citations), Biomaterials (102 citations), Molecular Medicine (29 citations), Internal Medicine (12 citations) and Surgery (143 citations). Ming Long has collaborated with scholars based in China, United States and Trinidad and Tobago. Frequent co-authors include Chengheng Hu, Xun Hu, Xinxue Liao, Chufan Luo, Xiaodong Zhuang, Xiaoqing Wang, Xing Wang, Jiawen Liang, Ke Xiao and Mingyan Li. Their work appears in journals such as Molecular Medicine, Renal Failure, Molecular and Cellular Biochemistry, Medicine 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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