Shan Tong

43 total papers · 508 total citations
24 papers, 340 citations indexed

About

Shan Tong is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shan Tong has authored 24 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shan Tong's work include Hearing Loss and Rehabilitation (3 papers), Cardiovascular Disease and Adiposity (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Shan Tong is often cited by papers focused on Hearing Loss and Rehabilitation (3 papers), Cardiovascular Disease and Adiposity (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Shan Tong collaborates with scholars based in China, United States and Japan. Shan Tong's co-authors include Xiaogang Zhu, Peter S. Conti, James R. Bading, John E. Shively, Andrew Raubitschek, David Colcher, Joanne Mortimer, Paul Frankel, Erasmus Poku and Mary Carroll and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Life Sciences.

In The Last Decade

Shan Tong

23 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Shan Tong 124 89 66 62 62 24 340
Takashi Kamatani 67 0.5× 67 0.8× 60 0.9× 43 0.7× 52 0.8× 29 331
Caroline Hu 80 0.6× 29 0.3× 95 1.4× 96 1.5× 67 1.1× 19 363
Daniel Finke 74 0.6× 176 2.0× 81 1.2× 93 1.5× 163 2.6× 19 367
Guangyuan Li 47 0.4× 59 0.7× 122 1.8× 64 1.0× 44 0.7× 30 335
Nathan Ezov 56 0.5× 36 0.4× 73 1.1× 66 1.1× 57 0.9× 20 392
Xiaojun Cai 105 0.8× 21 0.2× 59 0.9× 52 0.8× 63 1.0× 24 299
Kenneth Wong 52 0.4× 51 0.6× 97 1.5× 62 1.0× 45 0.7× 26 330
Wei Zeng 60 0.5× 79 0.9× 112 1.7× 53 0.9× 15 0.2× 36 337
Yan Zhang 43 0.3× 41 0.5× 45 0.7× 72 1.2× 21 0.3× 30 321
Takuro Umeda 126 1.0× 71 0.8× 87 1.3× 23 0.4× 24 0.4× 23 375

Countries citing papers authored by Shan Tong

Since Specialization
Citations

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

Fields of papers citing papers by Shan Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Tong. A scholar is included among the top collaborators of Shan Tong 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 Shan Tong. Shan Tong 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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