Scott W. Kauma
- Immunology top 2%
- Obstetrics and Gynecology top 0.5%
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Dennis W. MattDavid EiermanScott W. WalshWilliam S. EvansJohn E. NestlerDavid T. VandermolenDale W. StovallValerie Ratts
- Topics
- Reproductive System and Pregnancy (25 papers)Pregnancy and preeclampsia studies (19 papers)Birth, Development, and Health (7 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismThe FASEB Journal
- Partner nations
- United StatesFrance
In The Last Decade
Scott W. Kauma
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 87
- Immunology 948
- Obstetrics and Gynecology 792
- Reproductive Medicine 711
- Public Health, Environmental and Occupational Health 504
- Pediatrics, Perinatology and Child Health 335
Countries citing papers authored by Scott W. Kauma
This map shows the geographic impact of Scott W. Kauma'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 Scott W. Kauma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott W. Kauma more than expected).
Fields of papers citing papers by Scott W. Kauma
This network shows the impact of papers produced by Scott W. Kauma. 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 Scott W. Kauma. The network helps show where Scott W. Kauma may publish in the future.
Co-authorship network of co-authors of Scott W. Kauma
This figure shows the co-authorship network connecting the top 25 collaborators of Scott W. Kauma. A scholar is included among the top collaborators of Scott W. Kauma 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 Scott W. Kauma. Scott W. Kauma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 63 | |
| 3 | 70 | |
| 4 | 84 | |
| 5 | 46 | |
| 6 | 17 | |
| 7 | 39 | |
| 8 | 4 | |
| 9 | 46 | |
| 10 | 58 | |
| 11 | 9 | |
| 12 | 75 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 36 | |
| 16 | 83 | |
| 17 | 207 | |
| 18 | 6 | |
| 19 | 146 | |
| 20 | 21 |
About Scott W. Kauma
Scott W. Kauma is a scholar working on Obstetrics and Gynecology, Immunology and Reproductive Medicine, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (25 papers), Pregnancy and preeclampsia studies (19 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Obstetrics and Gynecology (792 citations), Reproductive Medicine (711 citations) and Immunology (948 citations). Scott W. Kauma has collaborated with scholars based in United States and France. Frequent co-authors include Dennis W. Matt, David Eierman, Scott W. Walsh, William S. Evans, John E. Nestler, David T. Vandermolen, Dale W. Stovall, Valerie Ratts, Stephen C. Strom and Thomas Huff. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and The FASEB Journal.
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.