Shaoyong Chen

3.5k citations
47 papers · 2.5k indexed · h-index 24
Topics
Prostate Cancer Treatment and Research (27 papers)Estrogen and related hormone effects (12 papers)Ubiquitin and proteasome pathways (11 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Shaoyong Chen

42 papers receiving 2.5k citations

Peers

Shaoyong Chen
Comparison fields: 5 of 101
  • Molecular Biology 1.6k
  • Pulmonary and Respiratory Medicine 1.4k
  • Cancer Research 732
  • Genetics 452
  • Endocrinology, Diabetes and Metabolism 410
Replace Changmeng Cai with:
Changmeng Cai United States
Outi R. Saramäki Finland
Cynthia C.T. Sprenger United States
Donald J. Vander Griend United States
Christian Palmberg Finland
Richeng Jiang China
Shihua Sun United States
O. Harris Ford United States
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Shaoyong Chen relative to Changmeng Cai United States Changmeng Cai's profile →
Citations per field
00.5×1.5×
Changmeng Cai · 1×
Citations per year

Countries citing papers authored by Shaoyong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyong Chen. A scholar is included among the top collaborators of Shaoyong Chen 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 Shaoyong Chen. Shaoyong Chen 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 3
2 2
3 0
4 10
5 3
6 16
7 42
8 27
9 29
10 71
11 37
12 84
13 5
14 87
15 4
16 349
17 347
18 122
19
Androgen receptor signaling induces prostate cancer cell proliferation through mTOR activation and post-transcriptional increases in cyclin D proteins
2
20 90

About Shaoyong Chen

Shaoyong Chen is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 47 papers that have together received 2.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (27 papers), Estrogen and related hormone effects (12 papers) and Ubiquitin and proteasome pathways (11 papers). The work is most often cited by research in Cancer Research (732 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Endocrinology, Diabetes and Metabolism (410 citations). Shaoyong Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Steven P. Balk, Changmeng Cai, Hongyun Wang, Sen Chen, Glenn J. Bubley, Myles Brown, Youyuan Xu, Peter S. Nelson, Housheng Hansen He and Yanfei Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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