Jamal Rahmani
- Modeling and Simulation top 2%
- General Dentistry top 5%
- Clinical Psychology top 5%
- COVID-19 and Mental Health 2
- Health top 10%
- Infectious Diseases top 10%
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- Nutritional Studies and Diet 5
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- Diet and metabolism studies 3
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- Metabolism, Diabetes, and Cancer 3
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- Liver Disease Diagnosis and Treatment 2
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- Diet, Metabolism, and Disease 2
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
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- Cancer, Stress, Anesthesia, and Immune Response 2
- Co-authors
- Akshaya Srikanth BhagavathulaWafa Ali AldhaleeiMohammadjavad Ashrafi MahabadiDeepak Kumar BandariGiulia RinaldiMeisam BaratiAlessandro RovettaCain C. T. Clark
- Journals
- Medicine (1 paper)BJOG An International Journal of Obstetrics & Gynaecology (1 paper)Pharmacological Research (2 papers)
- Partner nations
- IranUnited KingdomUnited Arab Emirates
In The Last Decade
Jamal Rahmani
21 papers receiving 696 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Modeling and Simulation 148
- General Dentistry 37
- Clinical Psychology 282
- Health 64
- Infectious Diseases 116
Countries citing papers authored by Jamal Rahmani
This map shows the geographic impact of Jamal Rahmani'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 Jamal Rahmani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamal Rahmani more than expected).
Fields of papers citing papers by Jamal Rahmani
This network shows the impact of papers produced by Jamal Rahmani. 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 Jamal Rahmani. The network helps show where Jamal Rahmani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jamal Rahmani, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 9 | |
| 11 | Knowledge and Perceptions of COVID-19 Among Health Care Workers: Cross-Sectional Studybreakdown → | 2020 | 379 |
| 12 | 2020 | 31 | |
| 13 | 2020 | 36 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 38 | |
| 18 | 2019 | 28 | |
| 19 | 2019 | 20 | |
| 20 | 2019 | 4 |
About Jamal Rahmani
Jamal Rahmani is a scholar working on Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 709 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Diet and metabolism studies (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Diet, Metabolism, and Disease (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), COVID-19 and Mental Health (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Modeling and Simulation (148 citations), General Dentistry (37 citations) and Clinical Psychology (282 citations). Jamal Rahmani has collaborated with scholars based in Iran, United Kingdom and United Arab Emirates. Frequent co-authors include Akshaya Srikanth Bhagavathula, Wafa Ali Aldhaleei, Mohammadjavad Ashrafi Mahabadi, Deepak Kumar Bandari, Giulia Rinaldi, Meisam Barati, Alessandro Rovetta, Cain C. T. Clark, Abdullah Shehab and Anhar Ullah. Their work appears in journals such as Medicine, BJOG An International Journal of Obstetrics & Gynaecology and Pharmacological Research.
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.