Su Shen

34 total papers · 612 total citations
23 papers, 427 citations indexed

About

Su Shen is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Su Shen has authored 23 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Molecular Biology. Recurrent topics in Su Shen's work include Helicobacter pylori-related gastroenterology studies (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Pharmacological Effects and Toxicity Studies (2 papers). Su Shen is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Pharmacological Effects and Toxicity Studies (2 papers). Su Shen collaborates with scholars based in China and United States. Su Shen's co-authors include Dandan Li, Huilin Tang, Yue Dong, Zhenwei Fang, Tiansheng Wang, Xingang Li, Aifeng Wang, Jeff Y. Yang, Zhichao Ma and Alphonse J. Ingenito and has published in prestigious journals such as PLoS ONE, Pain and Psychiatry Research.

In The Last Decade

Su Shen

22 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Su Shen 201 112 98 55 52 23 427
Pamela Kushner 248 1.2× 85 0.8× 68 0.7× 30 0.5× 52 1.0× 36 470
William Wang 159 0.8× 59 0.5× 74 0.8× 19 0.3× 104 2.0× 18 436
Carlin Chang 142 0.7× 76 0.7× 76 0.8× 41 0.7× 20 0.4× 27 464
Jong Han Choi 231 1.1× 84 0.8× 99 1.0× 14 0.3× 45 0.9× 25 474
Doron Schneider 214 1.1× 106 0.9× 66 0.7× 37 0.7× 20 0.4× 24 409
J Vora 156 0.8× 63 0.6× 78 0.8× 53 1.0× 13 0.3× 25 450
Maria Margherita Rando 61 0.3× 108 1.0× 109 1.1× 48 0.9× 24 0.5× 28 393
Isaias Noel Gendrano 237 1.2× 70 0.6× 63 0.6× 14 0.3× 78 1.5× 20 450
Stephan de la Motte 62 0.3× 51 0.5× 107 1.1× 95 1.7× 35 0.7× 19 454
Zixin Cai 136 0.7× 81 0.7× 85 0.9× 25 0.5× 16 0.3× 27 443

Countries citing papers authored by Su Shen

Since Specialization
Citations

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

Fields of papers citing papers by Su Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Shen

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