Fatma Mnif

645 citations
37 papers · 478 · h-index 13

Impact in

Papers in

    • Thyroid Disorders and Treatments 6
    • Pituitary Gland Disorders and Treatments 5
    • Adrenal Hormones and Disorders 4
    • Diabetes, Cardiovascular Risks, and Lipoproteins 3
    • Antioxidant Activity and Oxidative Stress 3

Fatma Mnif

33 papers receiving 455 citations

Peers

Fatma Mnif
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 189
  • Biochemistry 16
  • Molecular Biology 111
  • Behavioral Neuroscience 5
  • Epidemiology 47
Replace Meicen Zhou with:
Meicen Zhou China
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ERICA V. GONZALEZ United States
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Citations per field
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 201358
3 201354
4 201240
5 201131
6 201321
7 201419
8 201118
9 201216
10 201316
11 201215
12 200914
13 202014
14 201611
15 201711
16 201210
17 20139
18 20158
19 20117
20 20197

About Fatma Mnif

Fatma Mnif is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Epidemiology, Neurology and Molecular Biology, having authored 37 papers that have together received 478 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Thyroid Disorders and Treatments (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Adrenal Hormones and Disorders (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Adrenal and Paraganglionic Tumors (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Biochemistry (16 citations), Molecular Biology (111 citations), Behavioral Neuroscience (5 citations) and Epidemiology (47 citations). Fatma Mnif has collaborated with scholars based in Tunisia, France and Portugal. Frequent co-authors include Mohamed Abid, Nadia Charfi, Nabila Mejdoub Rekik, Mouna Feki Mnif, Saloua Lassoued, Hamadi Attia, Mohamed Abid, Hatem Masmoudi, Mouna Elleuch and Fadhel Guermazi. Their work appears in journals such as The American Journal of the Medical Sciences, Chemico-Biological Interactions, Human Immunology, Therapeutic Advances in Endocrinology and Metabolism and Journal of Clinical Laboratory Analysis.

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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