Hellevi Peltoketo
- Genetics top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Veli IsomaaReijo VihkoPirkko VihkoR. VihkoIlpo HuhtaniemiSeppo VainioOlayiwola OduwoleMatti Poutanen
- Topics
- Estrogen and related hormone effects (24 papers)Hormonal Regulation and Hypertension (23 papers)Reproductive Biology and Fertility (9 papers)
- Journals
- Journal of Clinical InvestigationDevelopmentThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- FinlandUnited KingdomUnited States
In The Last Decade
Hellevi Peltoketo
53 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 105
- Genetics 1.4k
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 1.1k
- Reproductive Medicine 516
- Public Health, Environmental and Occupational Health 389
Countries citing papers authored by Hellevi Peltoketo
This map shows the geographic impact of Hellevi Peltoketo'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 Hellevi Peltoketo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hellevi Peltoketo more than expected).
Fields of papers citing papers by Hellevi Peltoketo
This network shows the impact of papers produced by Hellevi Peltoketo. 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 Hellevi Peltoketo. The network helps show where Hellevi Peltoketo may publish in the future.
Co-authorship network of co-authors of Hellevi Peltoketo
This figure shows the co-authorship network connecting the top 25 collaborators of Hellevi Peltoketo. A scholar is included among the top collaborators of Hellevi Peltoketo 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 Hellevi Peltoketo. Hellevi Peltoketo 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 | 11 | |
| 4 | 5 | |
| 5 | 55 | |
| 6 | 14 | |
| 7 | Female mice expressing constitutively active FSH receptor present with a phenotype of premature follicle depletion, premature aging and teratomas | 1 |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 44 | |
| 11 | 114 | |
| 12 | 30 | |
| 13 | 40 | |
| 14 | 51 | |
| 15 | 39 | |
| 16 | 25 | |
| 17 | 91 | |
| 18 | 41 | |
| 19 | 17 | |
| 20 | 48 |
About Hellevi Peltoketo
Hellevi Peltoketo is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Reproductive Medicine, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (24 papers), Hormonal Regulation and Hypertension (23 papers) and Reproductive Biology and Fertility (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Reproductive Medicine (516 citations) and Genetics (1.4k citations). Hellevi Peltoketo has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Veli Isomaa, Reijo Vihko, Pirkko Vihko, R. Vihko, Ilpo Huhtaniemi, Seppo Vainio, Olayiwola Oduwole, Matti Poutanen, O. Mäentausta and Pasi Nokelainen. Their work appears in journals such as Journal of Clinical Investigation, Development 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.