C S Suen

868 citations
16 papers · 729 indexed · h-index 10
Topics
Growth Hormone and Insulin-like Growth Factors (6 papers)Estrogen and related hormone effects (5 papers)Retinoids in leukemia and cellular processes (5 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

C S Suen

16 papers receiving 711 citations

Peers

C S Suen
Comparison fields: 5 of 58
  • Genetics 474
  • Molecular Biology 450
  • Endocrinology, Diabetes and Metabolism 168
  • Oncology 141
  • Cellular and Molecular Neuroscience 102
Replace Deborah A. Katz with:
Deborah A. Katz United States
Ming‐Ming Tsai Taiwan
Kulwant K. Kohli United States
Ann Båvner Sweden
Tova Almlöf Sweden
Astrid Pornon France
Erik Ø. Jensen Denmark
William E. Bingman United States
Dalia Juzumiene United States
Murali Venugopalan United States
C S Suen relative to Deborah A. Katz United States Deborah A. Katz's profile →
Citations per field
00.5×1.5×
Deborah A. Katz · 1×
Citations per year

Countries citing papers authored by C S Suen

Since Specialization
Citations

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

Fields of papers citing papers by C S Suen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C S Suen

This figure shows the co-authorship network connecting the top 25 collaborators of C S Suen. A scholar is included among the top collaborators of C S Suen 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 C S Suen. C S Suen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 204
3 323
4 9
5 29
6 37
7 2
8 3
9
Biphasic down regulation of pyroglutamyl peptidase ii a trh degrading enzyme by protein kinase c
1
10 7
11 2
12 24
13 18
14 11
15 46
16 9

About C S Suen

C S Suen is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 16 papers that have together received 729 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Estrogen and related hormone effects (5 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Genetics (474 citations), Endocrinology, Diabetes and Metabolism (168 citations) and Molecular Biology (450 citations). C S Suen has collaborated with scholars based in United States, Canada and China. Frequent co-authors include William W. Chin, Akira Takeshita, Guemalli R. Cardona, Noriyuki Koibuchi, Thomas J. Berrodin, Boris J. Cheskis, Donald E. Frail, C. Richard Lyttle, Sherwin Wilk and Paul M. Yen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Molecular and Cellular Biology.

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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