Neda Gharani
- Reproductive Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Genetics top 5%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Co-authors
- Mark I. McCarthyDavinia WhiteDawn WaterworthStephen FranksJames H. MillonigLinda M. BrzustowiczR. WilliamsonGerard S. Conway
- Topics
- Ovarian function and disorders (13 papers)Reproductive Biology and Fertility (9 papers)Pharmacogenetics and Drug Metabolism (5 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Neda Gharani
32 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 84
- Reproductive Medicine 926
- Public Health, Environmental and Occupational Health 778
- Genetics 648
- Molecular Biology 436
- Cognitive Neuroscience 328
Countries citing papers authored by Neda Gharani
This map shows the geographic impact of Neda Gharani'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 Neda Gharani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Gharani more than expected).
Fields of papers citing papers by Neda Gharani
This network shows the impact of papers produced by Neda Gharani. 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 Neda Gharani. The network helps show where Neda Gharani may publish in the future.
Co-authorship network of co-authors of Neda Gharani
This figure shows the co-authorship network connecting the top 25 collaborators of Neda Gharani. A scholar is included among the top collaborators of Neda Gharani 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 Neda Gharani. Neda Gharani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 28 | |
| 5 | 33 | |
| 6 | 35 | |
| 7 | 56 | |
| 8 | 27 | |
| 9 | 135 | |
| 10 | 74 | |
| 11 | 168 | |
| 12 | 19 | |
| 13 | 60 | |
| 14 | 107 | |
| 15 | 21 | |
| 16 | 20 | |
| 17 | 10 | |
| 18 | 36 | |
| 19 | 254 | |
| 20 | 233 |
About Neda Gharani
Neda Gharani is a scholar working on Reproductive Medicine, Pharmacology and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ovarian function and disorders (13 papers), Reproductive Biology and Fertility (9 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Reproductive Medicine (926 citations), Public Health, Environmental and Occupational Health (778 citations) and Genetics (648 citations). Neda Gharani has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mark I. McCarthy, Davinia White, Dawn Waterworth, Stephen Franks, James H. Millonig, Linda M. Brzustowicz, R. Williamson, Gerard S. Conway, Stephen Franks and Carole Gilling‐Smith. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.