Nina Hillman
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 5%
- Reproductive Medicine top 5%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Richard J. TascaM. I. SHERMANChris GrahamThomas J. FlynnLeonard C. GinsbergJames McGrathRalph HillmanWilliam Garside
- Topics
- Reproductive Biology and Fertility (16 papers)Sperm and Testicular Function (12 papers)Animal Genetics and Reproduction (10 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Nina Hillman
43 papers receiving 931 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 637
- Public Health, Environmental and Occupational Health 415
- Genetics 368
- Reproductive Medicine 154
- Pediatrics, Perinatology and Child Health 90
Countries citing papers authored by Nina Hillman
This map shows the geographic impact of Nina Hillman'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 Nina Hillman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Hillman more than expected).
Fields of papers citing papers by Nina Hillman
This network shows the impact of papers produced by Nina Hillman. 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 Nina Hillman. The network helps show where Nina Hillman may publish in the future.
Co-authorship network of co-authors of Nina Hillman
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Hillman. A scholar is included among the top collaborators of Nina Hillman 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 Nina Hillman. Nina Hillman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Characterization of steroid 21-hydroxylase gene mutations in a oligosymptomatic form of congenital adrenal hyperplasia: family study]. | 2 |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 26 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 19 | |
| 12 | 13 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 21 | |
| 16 | 9 | |
| 17 | 183 | |
| 18 | 4 | |
| 19 | 41 | |
| 20 | 12 |
About Nina Hillman
Nina Hillman is a scholar working on Reproductive Medicine, Physiology and Genetics, having authored 43 papers that have together received 984 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Sperm and Testicular Function (12 papers) and Animal Genetics and Reproduction (10 papers). The work is most often cited by research in Reproductive Medicine (154 citations), Public Health, Environmental and Occupational Health (415 citations) and Genetics (368 citations). Nina Hillman has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Richard J. Tasca, M. I. SHERMAN, Chris Graham, Thomas J. Flynn, Leonard C. Ginsberg, James McGrath, Ralph Hillman, William Garside, Michael I. Sherman and M. C. Niu. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.