Catherine C. Thompson
- Molecular Biology top 2%
- Genetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cell Biology top 2%
- Immunology top 5%
- Co-authors
- Ronald M. EvansKazuhiko UmesonoRoger V. LeboCary WeinbergerSteven L. McKnightDonald J. GruolEstelita S. OngKlaus Damm
- Topics
- Estrogen and related hormone effects (11 papers)Hair Growth and Disorders (7 papers)Retinoids in leukemia and cellular processes (7 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Catherine C. Thompson
35 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 3.8k
- Genetics 2.5k
- Endocrinology, Diabetes and Metabolism 1.8k
- Cell Biology 713
- Immunology 634
Countries citing papers authored by Catherine C. Thompson
This map shows the geographic impact of Catherine C. Thompson'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 Catherine C. Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine C. Thompson more than expected).
Fields of papers citing papers by Catherine C. Thompson
This network shows the impact of papers produced by Catherine C. Thompson. 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 Catherine C. Thompson. The network helps show where Catherine C. Thompson may publish in the future.
Co-authorship network of co-authors of Catherine C. Thompson
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine C. Thompson. A scholar is included among the top collaborators of Catherine C. Thompson 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 Catherine C. Thompson. Catherine C. Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 33 | |
| 3 | 38 | |
| 4 | 49 | |
| 5 | 25 | |
| 6 | 99 | |
| 7 | 68 | |
| 8 | 144 | |
| 9 | 20 | |
| 10 | 82 | |
| 11 | 135 | |
| 12 | 25 | |
| 13 | 210 | |
| 14 | 3 | |
| 15 | 110 | |
| 16 | Direct repeats as selective response elements for the thyroid hormone, retinoic acid, and vitamin D3 receptorsbreakdown → | 1525 |
| 17 | 3 | |
| 18 | 10 | |
| 19 | Protein encoded by v-erbA functions as a thyroid-hormone receptor antagonistbreakdown → | 543 |
| 20 | 2 |
About Catherine C. Thompson
Catherine C. Thompson is a scholar working on Urology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 35 papers that have together received 6.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Hair Growth and Disorders (7 papers) and Retinoids in leukemia and cellular processes (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Genetics (2.5k citations) and Urology (521 citations). Catherine C. Thompson has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Ronald M. Evans, Kazuhiko Umesono, Roger V. Lebo, Cary Weinberger, Steven L. McKnight, Donald J. Gruol, Estelita S. Ong, Klaus Damm, Thomas A. Brown and Jeanne M. Sisk. Their work appears in journals such as Nature, Science and Cell.
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.