Thomas T. Chen

5.7k citations
119 papers · 5.0k · h-index 41

Impact in

  • Physiology top 0.5%
    • Reproductive biology and impacts on aquatic species
    • Aquaculture Nutrition and Growth

Papers in

Thomas T. Chen

117 papers receiving 4.8k citations

Peers

Thomas T. Chen
Comparison fields: 5 of 130
  • Physiology 531
  • Aquatic Science 657
  • Reproductive Medicine 585
  • Immunology 1.1k
  • Genetics 1.5k
Replace Xiaochun Liu with:
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William S. Marshall Canada
Jianbo Yao United States
Hiroshi Mitani Japan
Yun Liu China
Wan‐Xi Yang China
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Thomas T. Chen relative to Xiaochun Liu China Xiaochun Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas T. Chen

Since Specialization
Citations

This map shows the geographic impact of Thomas T. 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 Thomas T. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas T. Chen more than expected).

Fields of papers citing papers by Thomas T. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas T. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas T. Chen Line = papers co-authored together Thomas T. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterization of a breast cancer cell line derived from a germ-line BRCA1 mutation carrier.
1998251
2 2003239
3 1996217
4 2011200
5 2005191
6 1985180
7 1996153
8 1999148
9 1995148
10 1999127
11 1990121
12 2013111
13 2004104
14 1986100
15 199796
16
Age-related and tissue-specific levels of five forms of insulin-like growth factor mRNA in a teleost.
199393
17 199490
18 197985
19 197381
20 199474

About Thomas T. Chen

Thomas T. Chen is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Aquatic Science, having authored 119 papers that have together received 5.0k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (38 papers), Growth Hormone and Insulin-like Growth Factors (26 papers), Aquaculture disease management and microbiota (18 papers), CRISPR and Genetic Engineering (14 papers), Aquaculture Nutrition and Growth (13 papers), Reproductive biology and impacts on aquatic species (13 papers), Antimicrobial Peptides and Activities (8 papers) and Invertebrate Immune Response Mechanisms (7 papers). The work is most often cited by research in Physiology (531 citations), Aquatic Science (657 citations), Reproductive Medicine (585 citations), Immunology (1.1k citations) and Genetics (1.5k citations). Thomas T. Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Ronald Levy, Watcharop Chaikittisilp, Christopher W. Jones, Athanasia Syrengelas, Michael W. Greene, Michael R. Caudle, Jeffrey Keenan, Chun‐Mean Lin, William E. Seaman and Eréne C. Niemi. Their work appears in journals such as Marine Biotechnology, Endocrinology, General and Comparative Endocrinology, Aquaculture and Developmental 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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