Nabil Rabhi
Impact in
-
- Adipose Tissue and Metabolism
-
- MicroRNA in disease regulation
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Epigenetics and DNA Methylation 2
- Physiology 10
- Adipose Tissue and Metabolism 10
- Co-authors
- Stephen R. Farmer (10 shared papers)Philippe Froguel (7 shared papers)Jean‐Sébastien Annicotte (7 shared papers)Jean Z. Lin (2 shared papers)Cécile Vernochet (1 shared paper)Valentina Perissi (1 shared paper)Ramya Gamini (1 shared paper)Jessica Jones (1 shared paper)
- Journals
- Scientific Reports (3 papers)Cell Reports (3 papers)Frontiers in Endocrinology (2 papers)Cells (2 papers)iScience (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Nabil Rabhi
19 papers receiving 440 citations
Peers
Comparison fields: 5 of 73
- Physiology 146
- Cancer Research 66
- Epidemiology 119
- Molecular Biology 185
- Cardiology and Cardiovascular Medicine 51
Countries citing papers authored by Nabil Rabhi
This map shows the geographic impact of Nabil Rabhi'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 Nabil Rabhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil Rabhi more than expected).
Fields of papers citing papers by Nabil Rabhi
This network shows the impact of papers produced by Nabil Rabhi. 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 Nabil Rabhi. The network helps show where Nabil Rabhi may publish in the future.
Co-authors
The 25 scholars most cited alongside Nabil Rabhi, 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 | 2021 | 75 | |
| 2 | 2020 | 63 | |
| 3 | 2022 | 38 | |
| 4 | 2014 | 35 | |
| 5 | 2018 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2022 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2023 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2014 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 2 |
About Nabil Rabhi
Nabil Rabhi is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 441 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Pancreatic function and diabetes (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cardiovascular Disease and Adiposity (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Physiology (146 citations), Cancer Research (66 citations), Epidemiology (119 citations), Molecular Biology (185 citations) and Cardiology and Cardiovascular Medicine (51 citations). Nabil Rabhi has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Stephen R. Farmer, Philippe Froguel, Jean‐Sébastien Annicotte, Jean Z. Lin, Cécile Vernochet, Valentina Perissi, Ramya Gamini, Jessica Jones, Matthew D. Layne and Anna C. Belkina. Their work appears in journals such as Scientific Reports, Cell Reports, Frontiers in Endocrinology, Cells and iScience.
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.