Ke Wan

1.4k citations
82 papers · 997 · h-index 19

Impact in

Papers in

Ke Wan

76 papers receiving 984 citations

Peers

Ke Wan
Comparison fields: 5 of 53
  • Cardiology and Cardiovascular Medicine 549
  • Radiology, Nuclear Medicine and Imaging 207
  • Molecular Biology 151
  • Endocrinology, Diabetes and Metabolism 34
  • Obstetrics and Gynecology 18
Replace Shiro Iwanaga with:
Shiro Iwanaga Japan
Jennifer Bryant Singapore
Sadaf Raza United Kingdom
Ragnhild Røysland Norway
Antoine Guédès Belgium
Kashif Kalam Australia
Takahide Ito Japan
Giuseppe Ciliberti Italy
Carmel M. Halley United States
Sherezade Khambatta United States
Ke Wan relative to Shiro Iwanaga Japan Shiro Iwanaga's profile →
Citations per field
00.5×2×4×6×8×9.3×
Shiro Iwanaga · 1×
Citations per year

Countries citing papers authored by Ke Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ke Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201567
2 201854
3 202054
4 201841
5 202039
6 201936
7 202033
8 201731
9 202031
10 202031
11 201730
12 202329
13 201928
14 201827
15 202126
16 202025
17 201923
18 202321
19 201820
20 201719

About Ke Wan

Ke Wan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 82 papers that have together received 997 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (27 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (10 papers), Pulmonary Hypertension Research and Treatments (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cardiac pacing and defibrillation studies (3 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (549 citations), Radiology, Nuclear Medicine and Imaging (207 citations), Molecular Biology (151 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Obstetrics and Gynecology (18 citations). Ke Wan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yucheng Chen, Yuchi Han, Jiayu Sun, Jie Wang, Yuanwei Xu, Wei Cheng, Weihao Li, Dan Yang, Fuyao Yang and Qing Zhang. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Journal of Magnetic Resonance Imaging, International Journal of Cardiology, European Radiology and Scientific Reports.

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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