F Merelli
Impact in
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Hypothalamic control of reproductive hormones 7
- Ovarian function and disorders 3
-
- Ion channel regulation and function 1
- Receptor Mechanisms and Signaling 1
- Co-authors
- Kevin Catt (7 shared papers)Stanko S. Stojilković (7 shared papers)Lazar Z. Krsmanović (5 shared papers)Tsuyoshi Iida (3 shared papers)Ashraf Virmani (1 shared paper)Sylvie Dufour (1 shared paper)Tamás Balla (2 shared papers)László Hunyady (1 shared paper)
- Journals
- Endocrinology (3 papers)Journal of Biological Chemistry (2 papers)Molecular Pharmacology (1 paper)The Journal of Steroid Biochemistry and Molecular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCameroonHungary
In The Last Decade
F Merelli
9 papers receiving 662 citations
Peers
Comparison fields: 5 of 62
- Reproductive Medicine 312
- Endocrine and Autonomic Systems 77
- Cellular and Molecular Neuroscience 149
- Endocrinology, Diabetes and Metabolism 132
- Behavioral Neuroscience 28
Countries citing papers authored by F Merelli
This map shows the geographic impact of F Merelli'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 F Merelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Merelli more than expected).
Fields of papers citing papers by F Merelli
This network shows the impact of papers produced by F Merelli. 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 F Merelli. The network helps show where F Merelli may publish in the future.
Co-authors
The 18 scholars most cited alongside F Merelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 180 | |
| 2 | 1990 | 156 | |
| 3 | 1991 | 77 | |
| 4 | 1991 | 67 | |
| 5 | 1992 | 57 | |
| 6 | 1992 | 54 | |
| 7 | 1991 | 43 | |
| 8 | 1994 | 28 | |
| 9 | 1992 | 16 |
About F Merelli
F Merelli is a scholar working on Reproductive Medicine, Molecular Biology, Social Psychology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 678 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (7 papers), Ovarian function and disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Neuroendocrine regulation and behavior (2 papers), Ion channel regulation and function (1 paper), Stress Responses and Cortisol (1 paper), Estrogen and related hormone effects (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Reproductive Medicine (312 citations), Endocrine and Autonomic Systems (77 citations), Cellular and Molecular Neuroscience (149 citations), Endocrinology, Diabetes and Metabolism (132 citations) and Behavioral Neuroscience (28 citations). F Merelli has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Kevin Catt, Stanko S. Stojilković, Lazar Z. Krsmanović, Tsuyoshi Iida, Ashraf Virmani, Sylvie Dufour, Tamás Balla, László Hunyady, Albert J. Baukal and K. J. Catt. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Molecular Pharmacology, The Journal of Steroid Biochemistry and Molecular Biology 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.