Kun Wu

28 total papers · 2.9k total citations
19 papers, 2.0k citations indexed

About

Kun Wu is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kun Wu has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kun Wu's work include Ion channel regulation and function (12 papers), Erythrocyte Function and Pathophysiology (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Kun Wu is often cited by papers focused on Ion channel regulation and function (12 papers), Erythrocyte Function and Pathophysiology (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Kun Wu collaborates with scholars based in China, United States and South Korea. Kun Wu's co-authors include Nieng Yan, Jianlin Lei, Bailong Xiao, Huaizong Shen, Qiancheng Zhao, Jie Geng, Shaopeng Chi, Xiaojing Pan, Jianhua Wang and Yanfeng Wang and has published in prestigious journals such as Nature, Science and Angewandte Chemie International Edition.

In The Last Decade

Kun Wu

18 papers receiving 1.9k citations

Hit Papers

Structure and mechanogati... 2018 2026 2020 2023 2018 2019 2018 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun Wu 1.5k 712 405 324 309 19 2.0k
Hans‐Jochen Lang 1.2k 0.8× 294 0.4× 350 0.9× 322 1.0× 222 0.7× 32 1.8k
Joseph A. Erhardt 1.3k 0.9× 404 0.6× 457 1.1× 204 0.6× 118 0.4× 31 2.6k
Daniel Palmer 1.4k 1.0× 358 0.5× 342 0.8× 359 1.1× 119 0.4× 27 2.1k
Shoji Katsuki 944 0.6× 1.6k 2.3× 420 1.0× 647 2.0× 190 0.6× 22 2.7k
Emi Maeno 2.1k 1.4× 455 0.6× 532 1.3× 212 0.7× 196 0.6× 19 3.3k
Kitty Moores 1.3k 0.9× 468 0.7× 525 1.3× 228 0.7× 124 0.4× 34 3.0k
K. Yamagami 1.7k 1.2× 611 0.9× 283 0.7× 328 1.0× 118 0.4× 11 2.6k
Jerome Parness 1.5k 1.0× 162 0.2× 353 0.9× 424 1.3× 132 0.4× 31 2.5k
Jiehuan Huang 1.2k 0.8× 655 0.9× 193 0.5× 439 1.4× 240 0.8× 20 2.0k
Michelle I. Lin 1.6k 1.1× 766 1.1× 362 0.9× 389 1.2× 217 0.7× 37 2.9k

Countries citing papers authored by Kun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Wu. A scholar is included among the top collaborators of Kun Wu 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 Kun Wu. Kun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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