Ke Wan

1.6k total citations
112 papers, 979 citations indexed

About

Ke Wan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Physiology. According to data from OpenAlex, Ke Wan has authored 112 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 20 papers in Surgery and 18 papers in Physiology. Recurrent topics in Ke Wan's work include Cardiovascular Function and Risk Factors (25 papers), Cardiomyopathy and Myosin Studies (22 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (12 papers). Ke Wan is often cited by papers focused on Cardiovascular Function and Risk Factors (25 papers), Cardiomyopathy and Myosin Studies (22 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (12 papers). Ke Wan collaborates with scholars based in China, United States and Japan. Ke Wan's co-authors include Yucheng Chen, Yuchi Han, Jiayu Sun, Jie Wang, Yuanwei Xu, Wei Cheng, Weihao Li, Dan Yang, Zhi Zeng and Yucheng Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ke Wan

100 papers receiving 968 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ke Wan China 18 596 253 202 165 120 112 979
Robbert J. de Winter Netherlands 16 523 0.9× 225 0.9× 120 0.6× 307 1.9× 94 0.8× 39 870
Ergün Topal Türkiye 17 535 0.9× 228 0.9× 69 0.3× 237 1.4× 97 0.8× 41 890
Lucia Venneri United Kingdom 19 702 1.2× 523 2.1× 220 1.1× 185 1.1× 109 0.9× 60 1.3k
Go Hiasa Japan 17 817 1.4× 227 0.9× 113 0.6× 195 1.2× 88 0.7× 63 1.0k
Peder Sörensson Sweden 23 870 1.5× 565 2.2× 167 0.8× 284 1.7× 199 1.7× 82 1.4k
Makoto Amaki Japan 18 836 1.4× 210 0.8× 97 0.5× 211 1.3× 282 2.4× 93 1.1k
Shyam Kolvekar United Kingdom 18 687 1.2× 216 0.9× 144 0.7× 348 2.1× 80 0.7× 42 2.2k
Silvia Castelletti Italy 23 1.3k 2.1× 314 1.2× 547 2.7× 145 0.9× 119 1.0× 73 1.7k
Enver Atalar Türkiye 18 802 1.3× 146 0.6× 88 0.4× 229 1.4× 79 0.7× 57 1.2k
Luís Henrique Wolff Gowdak Brazil 18 476 0.8× 413 1.6× 187 0.9× 457 2.8× 58 0.5× 76 1.2k

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-authorship network of co-authors of Ke Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Wan. A scholar is included among the top collaborators of Ke Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ke Wan. Ke Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Jialin, Ziqian Xu, Ke Wan, et al.. (2025). Left Ventricular Hemodynamic Forces Changes in Fabry Disease: A Cardiac Magnetic Resonance Study. Journal of Magnetic Resonance Imaging. 62(1). 116–127. 1 indexed citations
2.
Wan, Ke, Xuemeng Chen, Wanying Zhang, et al.. (2025). Temporal characteristics of moral disgust in obsessive-compulsive disorder (OCD) from a lexical perspective: An ERPs and sLORETA study. Journal of Affective Disorders. 380. 535–544.
3.
Chen, Dixiang, et al.. (2025). Compensation of Carrier Magnetic Interference Based on Recursive Total Least Square. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 1 indexed citations
4.
Wan, Ke, et al.. (2024). Survival causal rule ensemble method considering the main effect for estimating heterogeneous treatment effects. Statistics in Medicine. 43(27). 5234–5271. 2 indexed citations
5.
6.
Li, Xiao, Yajuan Gao, Kaini Shen, et al.. (2024). Light-Chain Cardiac Amyloidosis: Cardiac Magnetic Resonance for Assessing Response to Chemotherapy. Korean Journal of Radiology. 25(5). 426–426. 5 indexed citations
7.
Wan, Ke, Chan Li, Tsu‐Hui Low, et al.. (2024). A qualitative exploration of the pathway to diagnosis and treatment of cutaneous squamous cell carcinoma of the head and neck with perineural spread. Cancer Medicine. 13(16). e70118–e70118. 1 indexed citations
8.
Wan, Ke, Xiaoyang Zhou, Benjamin Lev, & Wenjing Shen. (2024). Strategic Inventory with an Unreliable Manufacturer across Multiple Supply Chain Structures. Omega. 133. 103229–103229. 1 indexed citations
9.
Wan, Ke, et al.. (2024). Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects. Statistical Methods in Medical Research. 33(6). 1021–1042. 1 indexed citations
10.
Chen, Dixiang, et al.. (2024). Accounting for Geometric Anisotropy in Sparse Magnetic Data Using a Modified Interpolation Algorithm. Remote Sensing. 16(5). 883–883. 1 indexed citations
11.
Lin, Taiping, Rui Liang, Quhong Song, et al.. (2024). Development and Validation of PRE-SARC (PREdiction of SARCopenia Risk in Community Older Adults) Sarcopenia Prediction Model. Journal of the American Medical Directors Association. 25(9). 105128–105128. 1 indexed citations
12.
Zhou, Xia, Wenming Zhao, Cun Zhang, et al.. (2023). YKL-40 as a novel biomarker related to white matter damage and cognitive impairment in patients with cerebral small vessel disease. Brain Research. 1807. 148318–148318. 10 indexed citations
13.
Yue, Pengfei, Ziqian Xu, Ke Wan, et al.. (2023). Multiparametric mapping by cardiovascular magnetic resonance imaging in cardiac tumors. Journal of Cardiovascular Magnetic Resonance. 25(1). 37–37. 4 indexed citations
14.
Wang, Jie, Jinquan Zhang, Yoshitaka Iwanaga, et al.. (2023). Prognostic Value of RV Abnormalities on CMR in Patients With Known or Suspected Cardiac Sarcoidosis. JACC. Cardiovascular imaging. 16(3). 361–372. 13 indexed citations
15.
16.
Wang, Jie, Yuanwei Xu, Ke Wan, et al.. (2023). Tafamidis treatment in patients with transthyretin amyloid cardiomyopathy: a systematic review and meta-analysis. EClinicalMedicine. 63. 102172–102172. 11 indexed citations
17.
Wang, Jie, Fuyao Yang, Laura Bravo, et al.. (2020). Fractal Analysis: Prognostic Value of Left Ventricular Trabecular Complexity Cardiovascular MRI in Participants with Hypertrophic Cardiomyopathy. Radiology. 298(1). 71–79. 24 indexed citations
18.
Yang, Dan, Xiao Li, Jiayu Sun, et al.. (2018). Cardiovascular magnetic resonance evidence of myocardial fibrosis and its clinical significance in adolescent and adult patients with Ebstein's anomaly. Journal of Cardiovascular Magnetic Resonance. 20(1). 69–69. 26 indexed citations
19.
Wan, Ke & Alain L. Kornhauser. (2010). Turn-by-Turn Routing Decision Based on Copula Travel Time Estimation with Observable Floating-Car Data. Transportation Research Board 89th Annual MeetingTransportation Research Board. 2 indexed citations
20.
Wan, Ke. (2003). A Four-scenarios Model of Managing Knowledge Workers. R and D Management. 2 indexed citations

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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