Mohamed S. Zaïbi
- Physiology top 5%
- Adipose Tissue and Metabolism 9
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity 4
- Nutrition and Dietetics top 5%
- Pharmacology top 5%
- Cannabis and Cannabinoid Research 2
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- Adipokines, Inflammation, and Metabolic Diseases 12
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- Receptor Mechanisms and Signaling 4
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- Pancreatic function and diabetes 4
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- Immune Cell Function and Interaction 3
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- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Michael A. CawthorneClaire J. StockerJacqueline O’DowdMohamed BellahceneDavid M. SmithEdward T. WargentMałgorzata A. KępczyńskaDavid C. Hislop
- Journals
- SHILAP Revista de lepidopterología (1 paper)Endocrine Reviews (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United KingdomSaudi ArabiaFrance
In The Last Decade
Mohamed S. Zaïbi
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Physiology 375
- Endocrine and Autonomic Systems 90
- Endocrinology, Diabetes and Metabolism 210
- Nutrition and Dietetics 170
- Pharmacology 182
Countries citing papers authored by Mohamed S. Zaïbi
This map shows the geographic impact of Mohamed S. Zaïbi'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 Mohamed S. Zaïbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed S. Zaïbi more than expected).
Fields of papers citing papers by Mohamed S. Zaïbi
This network shows the impact of papers produced by Mohamed S. Zaïbi. 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 Mohamed S. Zaïbi. The network helps show where Mohamed S. Zaïbi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed S. Zaïbi, 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 | 2022 | 17 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 6 | |
| 5 | 2019 | 62 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 35 | |
| 8 | 2016 | 34 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 65 | |
| 11 | 2016 | 0 | |
| 12 | 2015 | 14 | |
| 13 | 2013 | 76 | |
| 14 | 2013 | 64 | |
| 15 | 2013 | 49 | |
| 16 | 2012 | 25 | |
| 17 | 2011 | 16 | |
| 18 | 2010 | 275 | |
| 19 | 1998 | 36 | |
| 20 | 1995 | 8 |
About Mohamed S. Zaïbi
Mohamed S. Zaïbi is a scholar working on Endocrine and Autonomic Systems, Physiology and Biological Psychiatry, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (4 papers), Receptor Mechanisms and Signaling (4 papers), Pancreatic function and diabetes (4 papers), Immune Cell Function and Interaction (3 papers), Cannabis and Cannabinoid Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Physiology (375 citations), Endocrine and Autonomic Systems (90 citations) and Endocrinology, Diabetes and Metabolism (210 citations). Mohamed S. Zaïbi has collaborated with scholars based in United Kingdom, Saudi Arabia and France. Frequent co-authors include Michael A. Cawthorne, Claire J. Stocker, Jacqueline O’Dowd, Mohamed Bellahcene, David M. Smith, Edward T. Wargent, Małgorzata A. Kępczyńska, David C. Hislop, Jonathan R.S. Arch and Jonathan R. S. Arch. Their work appears in journals such as SHILAP Revista de lepidopterología, Endocrine Reviews and The Journal of Clinical Endocrinology & 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.