Shudan Shen

25 total papers · 1.2k total citations
18 papers, 951 citations indexed

About

Shudan Shen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Shudan Shen has authored 18 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 5 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Shudan Shen's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (6 papers). Shudan Shen is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (6 papers). Shudan Shen collaborates with scholars based in United States, China and Canada. Shudan Shen's co-authors include Hua Yu, Saul J. Priceman, Weiguo Zhang, Jiehui Deng, Minghua Zhu, Maciej Kujawski, Surapong Koonpaew, Heehyoung Lee, Richard Jove and Lawrence O. Flowers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Shudan Shen

18 papers receiving 942 citations

Author Peers

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

Author Last Decade Papers Cites
Shudan Shen 612 320 302 90 81 18 951
Aibo Wang 790 1.3× 338 1.1× 260 0.9× 137 1.5× 55 0.7× 11 1.1k
Viralkumar Davra 517 0.8× 212 0.7× 169 0.6× 67 0.7× 165 2.0× 20 834
Bernd Algermissen 457 0.7× 262 0.8× 241 0.8× 77 0.9× 46 0.6× 26 956
Deborah Hardie 716 1.2× 381 1.2× 207 0.7× 90 1.0× 54 0.7× 15 1.2k
K Yamamoto 429 0.7× 318 1.0× 534 1.8× 91 1.0× 74 0.9× 14 1.0k
Khalid W. Kalim 368 0.6× 589 1.8× 295 1.0× 63 0.7× 104 1.3× 15 950
Elke Dittrich 441 0.7× 276 0.9× 498 1.6× 128 1.4× 64 0.8× 13 870
Marika Karikoski 488 0.8× 422 1.3× 372 1.2× 72 0.8× 124 1.5× 23 1.2k
Tomasz Herjan 668 1.1× 354 1.1× 248 0.8× 169 1.9× 58 0.7× 17 1.0k
Myung‐Shin Jeon 350 0.6× 402 1.3× 208 0.7× 105 1.2× 64 0.8× 25 953

Countries citing papers authored by Shudan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shudan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shudan Shen

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