P. K. Siiteri
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism
- Cancer Research
- Reproductive Medicine top 10%
- Co-authors
- R. W. KuhnPaul H. BellB. L. HutchingsE.C. De RenzoJ. E. WilliamsWILLIAM J. RAYMOUREPaul LichtS. E. Glickman
- Topics
- Estrogen and related hormone effects (4 papers)Inflammatory mediators and NSAID effects (2 papers)Pregnancy and preeclampsia studies (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
P. K. Siiteri
10 papers receiving 305 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 111
- Genetics 99
- Endocrinology, Diabetes and Metabolism 87
- Cancer Research 52
- Reproductive Medicine 45
Countries citing papers authored by P. K. Siiteri
This map shows the geographic impact of P. K. Siiteri'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 P. K. Siiteri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. K. Siiteri more than expected).
Fields of papers citing papers by P. K. Siiteri
This network shows the impact of papers produced by P. K. Siiteri. 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 P. K. Siiteri. The network helps show where P. K. Siiteri may publish in the future.
Co-authorship network of co-authors of P. K. Siiteri
This figure shows the co-authorship network connecting the top 25 collaborators of P. K. Siiteri. A scholar is included among the top collaborators of P. K. Siiteri 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 P. K. Siiteri. P. K. Siiteri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 64 | |
| 3 | Cytolysis and karyopyknosis in postmenopausal vaginal smears as markers of endometrial cancer, diabetes and obesity. Studies based on a ten-year follow-up. | 2 |
| 4 | 50 | |
| 5 | 11 | |
| 6 | Comparison of [3H]progesterone and [6,7-3H]-17,21-dimethyl-19-norpregna-4,9-diene-3,20-dione for the measurement of progesterone receptors in human malignant tissue. | 24 |
| 7 | Metabolic clearance rate of dehydroisoandrosterone sulfate. VI. Studies of eclampsia. | 9 |
| 8 | 43 | |
| 9 | 75 | |
| 10 | 34 |
About P. K. Siiteri
P. K. Siiteri is a scholar working on Developmental Biology, Behavioral Neuroscience and Obstetrics and Gynecology, having authored 10 papers that have together received 341 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Inflammatory mediators and NSAID effects (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (19 citations), Reproductive Medicine (45 citations) and Endocrinology, Diabetes and Metabolism (87 citations). P. K. Siiteri has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include R. W. Kuhn, Paul H. Bell, B. L. Hutchings, E.C. De Renzo, J. E. Williams, WILLIAM J. RAYMOURE, Paul Licht, S. E. Glickman, Laurence G. Frank and Sushama Pavgi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer.
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.