S W Curtis
- Genetics top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Immunology top 5%
- Oncology top 10%
- Co-authors
- Kenneth S. KorachT F WashburnJohn F. CouseJonathan LindzeyDennis B. LubahnKaren G. NelsonD M Ignar-TrowbridgeJohn A. McLachlan
- Topics
- Estrogen and related hormone effects (14 papers)Reproductive System and Pregnancy (6 papers)Effects and risks of endocrine disrupting chemicals (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaJapan
In The Last Decade
S W Curtis
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 1.6k
- Molecular Biology 747
- Endocrinology, Diabetes and Metabolism 548
- Immunology 448
- Oncology 365
Countries citing papers authored by S W Curtis
This map shows the geographic impact of S W Curtis'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 W Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S W Curtis more than expected).
Fields of papers citing papers by S W Curtis
This network shows the impact of papers produced by S W Curtis. 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 W Curtis. The network helps show where S W Curtis may publish in the future.
Co-authorship network of co-authors of S W Curtis
This figure shows the co-authorship network connecting the top 25 collaborators of S W Curtis. A scholar is included among the top collaborators of S W Curtis 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 W Curtis. S W Curtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 100 | |
| 2 | 40 | |
| 3 | 226 | |
| 4 | 18 | |
| 5 | 98 | |
| 6 | 13 | |
| 7 | 238 | |
| 8 | Estrogen receptor gene disruption: molecular characterization and experimental and clinical phenotypes. | 300 |
| 9 | 48 | |
| 10 | Analysis of transcription and estrogen insensitivity in the female mouse after targeted disruption of the estrogen receptor gene.breakdown → | 366 |
| 11 | 26 | |
| 12 | 7 | |
| 13 | 396 | |
| 14 | 171 | |
| 15 | 41 | |
| 16 | 67 |
About S W Curtis
S W Curtis is a scholar working on Genetics, Reproductive Medicine and Immunology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Reproductive System and Pregnancy (6 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Genetics (1.6k citations), Reproductive Medicine (347 citations) and Endocrinology, Diabetes and Metabolism (548 citations). S W Curtis has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kenneth S. Korach, T F Washburn, John F. Couse, Jonathan Lindzey, Dennis B. Lubahn, Karen G. Nelson, D M Ignar-Trowbridge, John A. McLachlan, Ana D. Freay and Gabor M. Rubanyi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.