Fatma Mnif

639 citations
44 papers · 432 · h-index 13

Impact in

    • Thyroid Disorders and Treatments
    • Pituitary Gland Disorders and Treatments
    • Adrenal Hormones and Disorders
    • Hormonal Regulation and Hypertension
    • Hormonal and reproductive studies

Papers in

Fatma Mnif

36 papers receiving 418 citations

Peers

Fatma Mnif
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 183
  • Urology 19
  • Clinical Biochemistry 16
  • Molecular Biology 127
  • Genetics 50
Replace Olivier Valkenburg with:
Olivier Valkenburg Netherlands
Susan Gelding United Kingdom
Mirentxu Oyarzabal Spain
Rosa Alba Longo Italy
Eleni P. Kotanidou Greece
C.R. Milner Australia
Talla P. Shankar United States
David Gable United Kingdom
Hajamohideen S. Raffi United States
Teruhisa Ueda Japan
Fatma Mnif relative to Olivier Valkenburg Netherlands Olivier Valkenburg's profile →
Citations per field
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Olivier Valkenburg · 1×
Citations per year

Countries citing papers authored by Fatma Mnif

Since Specialization
Citations

This map shows the geographic impact of Fatma Mnif'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 Fatma Mnif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma Mnif more than expected).

Fields of papers citing papers by Fatma Mnif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma Mnif. 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 Fatma Mnif. The network helps show where Fatma Mnif may publish in the future.

Co-authors

The 25 scholars most cited alongside Fatma Mnif, 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 Fatma Mnif Line = papers co-authored together Fatma Mnif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201058
2 201355
3 201348
4 201236
5 201128
6 201418
7 201318
8 201216
9 201215
10 201114
11 200912
12 202012
13 201312
14 201611
15 201711
16 201210
17 20158
18 20116
19 20196
20 20136

About Fatma Mnif

Fatma Mnif is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Physiology and Genetics, having authored 44 papers that have together received 432 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Adrenal Hormones and Disorders (6 papers), Sexual Differentiation and Disorders (6 papers), Vitamin D Research Studies (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Diabetes and associated disorders (3 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (183 citations), Urology (19 citations), Clinical Biochemistry (16 citations), Molecular Biology (127 citations) and Genetics (50 citations). Fatma Mnif has collaborated with scholars based in Tunisia, United States and Portugal. Frequent co-authors include M. Abid, Nadia Charfi, N. Rekik, Mouna Mnif, Saloua Lassoued, Hamadi Attia, F. Guermazi, Mohamed Abid, Hatem Masmoudi and M. Hachicha. Their work appears in journals such as The American Journal of the Medical Sciences, Chemico-Biological Interactions, Biological Trace Element Research, Human Immunology and Therapeutic Advances in Endocrinology and 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.

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