Naiem T. Issa
- Dermatology top 5%
- Dermatology and Skin Diseases 7
- Dermatologic Treatments and Research 5
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- Computational Drug Discovery Methods 13
- Health Informatics top 10%
- Urology top 10%
- Hair Growth and Disorders 10
- Pharmacology top 10%
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- Bioinformatics and Genomic Networks 5
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- Nail Diseases and Treatments 4
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- Autoimmune Bullous Skin Diseases 3
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- Urticaria and Related Conditions 3
- Co-authors
- Sivanesan DakshanamurthyStephen W. ByersStephan C. SchürerVasileios StathiasCaleb JeonHsin-Wen ChangMichael KaiserDi Yan
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesGrenadaArgentina
In The Last Decade
Naiem T. Issa
41 papers receiving 734 citations
Peers
Comparison fields: 5 of 125
- Dermatology 112
- Computational Theory and Mathematics 194
- Health Informatics 15
- Urology 62
- Pharmacology 54
Countries citing papers authored by Naiem T. Issa
This map shows the geographic impact of Naiem T. Issa'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 Naiem T. Issa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naiem T. Issa more than expected).
Fields of papers citing papers by Naiem T. Issa
This network shows the impact of papers produced by Naiem T. Issa. 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 Naiem T. Issa. The network helps show where Naiem T. Issa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naiem T. Issa, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | Supplement Individual Article: A Reappraisal of Fixed-Combination Halobetasol Propionate and Tazarotene for the Treatment of Psoriasis: Biological Underpinnings, Therapeutic Mechanisms, and Economic Considerations. | 2023 | 3 |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 183 | |
| 17 | 2018 | 24 | |
| 18 | 2016 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2013 | 16 |
About Naiem T. Issa
Naiem T. Issa is a scholar working on Dermatology, Urology and Computational Theory and Mathematics, having authored 49 papers that have together received 749 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Hair Growth and Disorders (10 papers), Dermatology and Skin Diseases (7 papers), Dermatologic Treatments and Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Nail Diseases and Treatments (4 papers), Autoimmune Bullous Skin Diseases (3 papers) and Urticaria and Related Conditions (3 papers). The work is most often cited by research in Dermatology (112 citations), Computational Theory and Mathematics (194 citations) and Health Informatics (15 citations). Naiem T. Issa has collaborated with scholars based in United States, Grenada and Argentina. Frequent co-authors include Sivanesan Dakshanamurthy, Stephen W. Byers, Stephan C. Schürer, Vasileios Stathias, Caleb Jeon, Hsin-Wen Chang, Michael Kaiser, Di Yan, Ladan Afifi and Wilson Liao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.
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.