Mohammad Adawi
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
- Rheumatology 16
- Systemic Lupus Erythematosus Research 9
- Epidemiology 14
- Data-Driven Disease Surveillance 6
- Co-authors
- Nicola Luigi Bragazzi (44 shared papers)Abdulla Watad (41 shared papers)Howard Amital (32 shared papers)Yehuda Shoenfeld (10 shared papers)Κassem Sharif (15 shared papers)Naim Mahroum (15 shared papers)Giovanni Damiani (10 shared papers)Bishara Bisharat (8 shared papers)
- Journals
- Nutrients (4 papers)Frontiers in Immunology (3 papers)Clinical Rheumatology (3 papers)Autoimmunity Reviews (2 papers)JMIR Public Health and Surveillance (2 papers)
- Partner nations
- IsraelItalyUnited Kingdom
In The Last Decade
Mohammad Adawi
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Dermatology 161
- Rheumatology 211
- Immunology 282
- Endocrine and Autonomic Systems 68
- Epidemiology 280
Countries citing papers authored by Mohammad Adawi
This map shows the geographic impact of Mohammad Adawi'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 Mohammad Adawi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Adawi more than expected).
Fields of papers citing papers by Mohammad Adawi
This network shows the impact of papers produced by Mohammad Adawi. 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 Mohammad Adawi. The network helps show where Mohammad Adawi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Adawi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2017 | 108 | |
| 3 | 2017 | 77 | |
| 4 | 2017 | 73 | |
| 5 | 2018 | 71 | |
| 6 | 2019 | 70 | |
| 7 | 2019 | 68 | |
| 8 | 2018 | 55 | |
| 9 | 2019 | 51 | |
| 10 | 2016 | 44 | |
| 11 | 2019 | 42 | |
| 12 | 2017 | 40 | |
| 13 | 2018 | 35 | |
| 14 | 2019 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2019 | 20 |
About Mohammad Adawi
Mohammad Adawi is a scholar working on Rheumatology, Epidemiology, Immunology, Physiology and Dermatology, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), Data-Driven Disease Surveillance (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Dietary Effects on Health (5 papers), Vaccine Coverage and Hesitancy (4 papers), Hidradenitis Suppurativa and Treatments (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). The work is most often cited by research in Dermatology (161 citations), Rheumatology (211 citations), Immunology (282 citations), Endocrine and Autonomic Systems (68 citations) and Epidemiology (280 citations). Mohammad Adawi has collaborated with scholars based in Israel, Italy and United Kingdom. Frequent co-authors include Nicola Luigi Bragazzi, Abdulla Watad, Howard Amital, Yehuda Shoenfeld, Κassem Sharif, Naim Mahroum, Giovanni Damiani, Bishara Bisharat, Mahmud Mahamid and Paolo D. Pigatto. Their work appears in journals such as Nutrients, Frontiers in Immunology, Clinical Rheumatology, Autoimmunity Reviews and JMIR Public Health and Surveillance.
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.