S. S. C. YEN

22.0k citations
229 papers · 17.5k indexed · 4 hit papers · h-index 75
Topics
Ovarian function and disorders (84 papers)Hypothalamic control of reproductive hormones (71 papers)Growth Hormone and Insulin-like Growth Factors (53 papers)

In The Last Decade

S. S. C. YEN

228 papers receiving 16.2k citations

Hit Papers

REVIEW ARTICLE: THE POLYCYSTIC OVARY SYNDROME19702026198820071980197619721970100200300400500

Peers

S. S. C. YEN
Comparison fields: 5 of 163
  • Reproductive Medicine 9.1k
  • Endocrinology, Diabetes and Metabolism 6.1k
  • Public Health, Environmental and Occupational Health 5.3k
  • Behavioral Neuroscience 1.9k
  • Genetics 1.9k
Replace Frederick Naftolin with:
Frederick Naftolin United States
Sergio R. Ojeda United States
Robert W. Rebar United States
Ronald S. Swerdloff United States
Samuel S.C. Yen United States
Neil J. MacLusky United States
Andrzej Bartke United States
Samuel M. McCann United States
Dennis B. Lubahn United States
William J. Bremner United States
S. S. C. YEN relative to Frederick Naftolin United States Frederick Naftolin's profile →
Citations per field
00.5×1.5×1.8×
Frederick Naftolin · 1×
Citations per year

Countries citing papers authored by S. S. C. YEN

Since Specialization
Citations

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

Fields of papers citing papers by S. S. C. YEN

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. S. C. YEN. 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 S. S. C. YEN. The network helps show where S. S. C. YEN may publish in the future.

Co-authorship network of co-authors of S. S. C. YEN

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. C. YEN. A scholar is included among the top collaborators of S. S. C. YEN 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 S. S. C. YEN. S. S. C. YEN 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
1 164
2 158
3 154
4 179
5 82
6 18
7 28
8 31
9 41
10 95
11 34
12 19
13 43
14 66
15 121
16 34
17 44
18 15
19 191
20 4

About S. S. C. YEN

S. S. C. YEN is a scholar working on Reproductive Medicine, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 229 papers that have together received 17.5k indexed citations. Recurring topics across this work include Ovarian function and disorders (84 papers), Hypothalamic control of reproductive hormones (71 papers) and Growth Hormone and Insulin-like Growth Factors (53 papers). The work is most often cited by research in Reproductive Medicine (9.1k citations), Behavioral Neuroscience (1.9k citations) and Endocrinology, Diabetes and Metabolism (6.1k citations). S. S. C. YEN has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include M. E. QUIGLEY, Gail A. Laughlin, Robert F. Casper, C. C. TSAI, Joseph F. Mortola, Grant W. Vandenberg, Robert W. Rebar, Arlene J. Morales, Frederick Naftolin and Robert L. Reid. Their work appears in journals such as Nature, Science and JAMA.

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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