Mengjun Wang

1.7k citations
66 papers · 1.3k · h-index 18

Impact in

  • Neurology top 5%
    • Vagus Nerve Stimulation Research
    • Heart Rate Variability and Autonomic Control
    • Cardiovascular Function and Risk Factors
    • Heart Failure Treatment and Management
    • Cardiac electrophysiology and arrhythmias

Papers in

Mengjun Wang

64 papers receiving 1.3k citations

Peers

Mengjun Wang
Comparison fields: 5 of 97
  • Neurology 168
  • Cardiology and Cardiovascular Medicine 451
  • Hepatology 155
  • Physiology 40
  • Molecular Biology 402
Replace Steven R. Ennis with:
Steven R. Ennis United States
Yongcheng Huang China
Tom J. Parry United States
Guenter Daum United States
Tatsunori Suzuki Japan
Yuli Liu China
Mohamed Ibrahim United States
Raffaele Altara United States
Hongtao Sun Canada
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Citations per field
00.5×5.2×
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Citations per year

Countries citing papers authored by Mengjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mengjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016150
2 2010124
3 2007109
4 201396
5 201384
6 201368
7 201866
8 201356
9 201553
10 201749
11 201245
12 201335
13 200531
14 200821
15 201320
16 201119
17 201819
18 201317
19 201415
20 202013

About Mengjun Wang

Mengjun Wang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Molecular Biology and Hepatology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Mechanical Circulatory Support Devices (7 papers), Heart Rate Variability and Autonomic Control (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Heart Failure Treatment and Management (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Gastrointestinal motility and disorders (4 papers) and Cardiac Structural Anomalies and Repair (4 papers). The work is most often cited by research in Neurology (168 citations), Cardiology and Cardiovascular Medicine (451 citations), Hepatology (155 citations), Physiology (40 citations) and Molecular Biology (402 citations). Mengjun Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hani N. Sabbah, Ramesh C. Gupta, Sharad Rastogi, Smita Kohli, Kefei Zhang, Timothy M. Block, Itamar Ilsar, Anand S. Mehta, Jorge A. Marrero and Mary Ann Comunale. Their work appears in journals such as Circulation, Journal of Cardiac Failure, Journal of the American College of Cardiology, Circulation Heart Failure and Frontiers in Bioengineering and Biotechnology.

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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