Kun Shi

54 total papers · 948 total citations
36 papers, 707 citations indexed

About

Kun Shi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Kun Shi has authored 36 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Genetics. Recurrent topics in Kun Shi's work include Pulmonary Hypertension Research and Treatments (7 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Spine and Intervertebral Disc Pathology (5 papers). Kun Shi is often cited by papers focused on Pulmonary Hypertension Research and Treatments (7 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Spine and Intervertebral Disc Pathology (5 papers). Kun Shi collaborates with scholars based in China, Netherlands and France. Kun Shi's co-authors include Thomas S. C. Farrell, C. Arnold Spek, Karla Queiroz, Dick J. Richel, Jingcheng Wang, Fengzhen Wang, Carel J.M. van Noesel, JanWillem Duitman, Lina Qiao and Rui Li and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Kun Shi

34 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Kun Shi 154 126 107 104 81 36 707
Jean‐Daniel Malcor 219 1.4× 195 1.5× 81 0.8× 57 0.5× 42 0.5× 28 680
Krzysztof Sobolewski 208 1.4× 55 0.4× 303 2.8× 77 0.7× 47 0.6× 51 823
Goro Otsuka 184 1.2× 47 0.4× 101 0.9× 95 0.9× 48 0.6× 30 682
Christine Choqueux 207 1.3× 62 0.5× 113 1.1× 148 1.4× 35 0.4× 26 789
Pradnya Gangatirkar 289 1.9× 106 0.8× 87 0.8× 33 0.3× 125 1.5× 20 769
Matthew P. Murphy 162 1.1× 43 0.3× 146 1.4× 35 0.3× 54 0.7× 28 636
Xin Yan 270 1.8× 25 0.2× 99 0.9× 140 1.3× 61 0.8× 56 785
Kazuhiko Asanuma 294 1.9× 38 0.3× 338 3.2× 80 0.8× 54 0.7× 34 870
David D.F. 213 1.4× 138 1.1× 148 1.4× 21 0.2× 56 0.7× 17 645
Darwin Eton 231 1.5× 29 0.2× 314 2.9× 314 3.0× 70 0.9× 46 781

Countries citing papers authored by Kun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Shi. A scholar is included among the top collaborators of Kun Shi 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 Shi. Kun Shi 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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2026