Fatima Ferrag
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
Papers in
- Oncology 8
- Cytokine Signaling Pathways and Interactions 7
-
- RNA Research and Splicing 2
- Connexins and lens biology 1
- Protein Tyrosine Phosphatases 1
- Co-authors
- Paul A. Kelly (8 shared papers)Vincent Goffin (5 shared papers)Marc Edery (4 shared papers)Alain Pezet (3 shared papers)Nadine Binart (2 shared papers)Joseph Martial (1 shared paper)Sandrina Kinet (1 shared paper)Hélène Buteau (4 shared papers)
- Journals
- Molecular Endocrinology (4 papers)Journal of Biological Chemistry (2 papers)FEBS Letters (1 paper)Journal of Cellular Physiology (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- FranceBelgiumUnited Kingdom
In The Last Decade
Fatima Ferrag
13 papers receiving 385 citations
Peers
Comparison fields: 5 of 61
- Endocrinology, Diabetes and Metabolism 199
- Reproductive Medicine 53
- Oncology 145
- Endocrine and Autonomic Systems 31
- Immunology 64
Countries citing papers authored by Fatima Ferrag
This map shows the geographic impact of Fatima Ferrag'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 Fatima Ferrag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatima Ferrag more than expected).
Fields of papers citing papers by Fatima Ferrag
This network shows the impact of papers produced by Fatima Ferrag. 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 Fatima Ferrag. The network helps show where Fatima Ferrag may publish in the future.
Co-authors
The 25 scholars most cited alongside Fatima Ferrag, 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 | 1996 | 105 | |
| 2 | 1997 | 82 | |
| 3 | 1995 | 41 | |
| 4 | 1998 | 34 | |
| 5 | 1994 | 29 | |
| 6 | 1998 | 29 | |
| 7 | 1996 | 15 | |
| 8 | 1998 | 14 | |
| 9 | 2000 | 12 | |
| 10 | 1994 | 10 | |
| 11 | Immune function of prolactin (PRL) and signal transduction by PRL/GH/cytokine receptors: specificity, redundancy and lessons from chimaeras. | 1997 | 10 |
| 12 | 1994 | 8 | |
| 13 | 1996 | 6 |
About Fatima Ferrag
Fatima Ferrag is a scholar working on Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Pharmacology, having authored 13 papers that have together received 395 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Medicinal Plant Pharmacodynamics Research (2 papers), RNA Research and Splicing (2 papers), Immune Cell Function and Interaction (2 papers), Connexins and lens biology (1 paper), Endometriosis Research and Treatment (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (199 citations), Reproductive Medicine (53 citations), Oncology (145 citations), Endocrine and Autonomic Systems (31 citations) and Immunology (64 citations). Fatima Ferrag has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Paul A. Kelly, Vincent Goffin, Marc Edery, Alain Pezet, Nadine Binart, Joseph Martial, Sandrina Kinet, Hélène Buteau, J Finidori and Nazario Esposito. Their work appears in journals such as Molecular Endocrinology, Journal of Biological Chemistry, FEBS Letters, Journal of Cellular Physiology and Annals of the New York 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.