Fatima Ferrag

485 citations
14 papers · 423 · h-index 11

Impact in

Papers in

    • Cytokine Signaling Pathways and Interactions 8
    • RNA Research and Splicing 2
    • DNA Repair Mechanisms 1

Fatima Ferrag

14 papers receiving 403 citations

Peers

Fatima Ferrag
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 213
  • Reproductive Medicine 56
  • Oncology 151
  • Endocrine and Autonomic Systems 32
  • Immunology 62
Replace J. Paly with:
J. Paly France
Alain Pezet France
Soraya Moutoussamy France
Jianping Meng United States
A Gutierrez-Hartmann United States
Hélène Favre United States
Nazario Esposito France
Deborah L. Bellingham United States
Susanne R. Keller United States
Monique Berwaer Belgium
Fatima Ferrag relative to J. Paly France J. Paly's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fatima Ferrag

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fatima Ferrag Line = papers co-authored together Fatima Ferrag links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1996109
2 199785
3 199543
4 199837
5 199429
6 199829
7 199616
8 200015
9 199814
10 199412
11
Immune function of prolactin (PRL) and signal transduction by PRL/GH/cytokine receptors: specificity, redundancy and lessons from chimaeras.
199711
12 199410
13 19967
14 19986

About Fatima Ferrag

Fatima Ferrag is a scholar working on Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Pharmacology, having authored 14 papers that have together received 423 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Estrogen and related hormone effects (2 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Immune Cell Function and Interaction (2 papers), RNA Research and Splicing (2 papers), DNA Repair Mechanisms (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (213 citations), Reproductive Medicine (56 citations), Oncology (151 citations), Endocrine and Autonomic Systems (32 citations) and Immunology (62 citations). Fatima Ferrag has collaborated with scholars based in France, Belgium and Australia. Frequent co-authors include Paul A. Kelly, Vincent Goffin, Marc Edery, Alain Pezet, Nadine Binart, Sandrina Kinet, Joseph Martial, Hélène Buteau, J Finidori and M C Postel-Vinay. Their work appears in journals such as Molecular Endocrinology, Journal of Biological Chemistry, Experimental Biology and Medicine, Molecular and Cellular Endocrinology and Journal of Cellular Physiology.

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.

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