Bin‐Feng Mo

417 citations
30 papers · 290 · h-index 9

Impact in

Papers in

Bin‐Feng Mo

26 papers receiving 289 citations

Peers

Bin‐Feng Mo
Comparison fields: 5 of 42
  • Cardiology and Cardiovascular Medicine 192
  • Health, Toxicology and Mutagenesis 21
  • Molecular Biology 53
  • Radiology, Nuclear Medicine and Imaging 16
  • Environmental Engineering 7
Replace Raul R. Blanco with:
Raul R. Blanco United States
Myrthe F. Kuipers Netherlands
Stanislav Janoušek Czechia
Camilla Grifoni Italy
Marcel A. Tekook United States
Thomas Morris Hey Denmark
Andrea Cocciolo Italy
Lianming Kang China
Lara Gharibeh Canada
Emmanouil P. Vardas Greece
Bin‐Feng Mo relative to Raul R. Blanco United States Raul R. Blanco's profile →
Citations per field
00.5×2×4×6×7.6×
Raul R. Blanco · 1×
Citations per year

Countries citing papers authored by Bin‐Feng Mo

Since Specialization
Citations

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

Fields of papers citing papers by Bin‐Feng Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin‐Feng Mo. 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 Bin‐Feng Mo. The network helps show where Bin‐Feng Mo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201970
2 202026
3 202024
4 201923
5 202120
6 202020
7 202217
8 202411
9 20249
10 20237
11 20216
12 20216
13 20226
14 20226
15 20235
16 20205
17 20245
18 20235
19 20234
20 20174

About Bin‐Feng Mo

Bin‐Feng Mo is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 290 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (18 papers), Cardiac Arrhythmias and Treatments (7 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac pacing and defibrillation studies (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Cerebrovascular and Carotid Artery Diseases (1 paper), Mechanisms of cancer metastasis (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (192 citations), Health, Toxicology and Mutagenesis (21 citations), Molecular Biology (53 citations), Radiology, Nuclear Medicine and Imaging (16 citations) and Environmental Engineering (7 citations). Bin‐Feng Mo has collaborated with scholars based in China and Japan. Frequent co-authors include Qunshan Wang, Mu Chen, Peng‐Pai Zhang, Yi‐Gang Li, Wei Li, Jian Sun, Yi Yu, Yuepeng Wang, Yi Wan and Rui Zhang. Their work appears in journals such as European Heart Journal - Cardiovascular Imaging, Frontiers in Cardiovascular Medicine, International Journal of Cardiology, Journal of Cardiovascular Electrophysiology and Journal of Interventional 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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