Shan Tong

517 total citations
24 papers, 349 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 349 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 Cardiovascular, Neuropeptides, and Oxidative Stress Research (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 Cardiovascular, Neuropeptides, and Oxidative Stress Research (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, Qingwei Ji, James R. Bading, Andrew Raubitschek, David Colcher, Yu Du, John E. Shively, Paul Frankel, Peter S. Conti and Joanne Mortimer 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 345 citations

Peers

Shan Tong
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 124
  • Oncology 90
  • Molecular Biology 67
  • Cardiology and Cardiovascular Medicine 65
  • Surgery 63
Replace Miikka Tarkia with:
Miikka Tarkia Finland
Ding Xu China
Hans J. de Haas Netherlands
Xiaojun Cai China
Annamalai Senthilkumar United States
Zhongwei Lv China
Zhenyu Dong Japan
Takuro Umeda Japan
Meltem Serin Türkiye
Miikka Tarkia Finland View profile →
Citations per field, relative to Shan Tong
Shan Tong · 1×
Citations per year, relative to Shan Tong
Shan Tong · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 11
4 1
5 27
6 1
7 2
8 4
9 6
10 8
11 26
12 13
13 6
14 43
15 10
16 8
17 0
18 124
19 3
20 2

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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