Yao Shen

4.4k citations
69 papers · 3.0k indexed · 1 hit paper · h-index 25
Topics
Inflammatory mediators and NSAID effects (10 papers)Estrogen and related hormone effects (7 papers)Prostate Cancer Treatment and Research (6 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Yao Shen

62 papers receiving 2.9k citations

Hit Papers

Functional characterization of somatic mutations in cance...20162026201920222016100200300400

Peers

Yao Shen
Comparison fields: 5 of 127
  • Molecular Biology 1.2k
  • Pharmacology 1.0k
  • Genetics 648
  • Cancer Research 550
  • Oncology 439
Replace Michihiro Mutoh with:
Michihiro Mutoh Japan
Gary J. Kelloff United States
Imad Shureiqi United States
Graham P. Pidgeon Ireland
Maen Abdelrahim United States
Clinton J. Grubbs United States
Chin‐Wen Chi Taiwan
Laura Calabresi Italy
Kevin Harvey United States
Rong Hu China
Yao Shen relative to Michihiro Mutoh Japan Michihiro Mutoh's profile →
Citations per field
00.5×1.5×
Michihiro Mutoh · 1×
Citations per year

Countries citing papers authored by Yao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Shen. A scholar is included among the top collaborators of Yao 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 Yao Shen. Yao Shen 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
#WorkIndexed citations
1 1
2 1
3 2
4 0
5 1
6 2
7 1
8 15
9 13
10 40
11 44
12 7
13 37
14 8
15 12
16 25
17 49
18 16
19 50
20 81

About Yao Shen

Yao Shen is a scholar working on Pharmacology, Complementary and alternative medicine and Cancer Research, having authored 69 papers that have together received 3.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (10 papers), Estrogen and related hormone effects (7 papers) and Prostate Cancer Treatment and Research (6 papers). The work is most often cited by research in Pharmacology (1.0k citations), Cancer Research (550 citations) and Genetics (648 citations). Yao Shen has collaborated with scholars based in United States, China and India. Frequent co-authors include Alice C. Levine, Alexander Kirschenbaum, Xinhua Liu, James F. Holland, Andrea Califano, Mariano J. Alvarez, Alexander Lachmann, Federico M. Giorgi, B. Belinda Ding and B. Hilda Ye. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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