Omid Dadras
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 25
- SARS-CoV-2 and COVID-19 Research 13
- HIV/AIDS Research and Interventions 12
- Epidemiology 23
- HIV, Drug Use, Sexual Risk 11
- Co-authors
- SeyedAhmad SeyedAlinaghi (61 shared papers)Esmaeil Mehraeen (44 shared papers)Alireza Barzegary (20 shared papers)Amirali Karimi (26 shared papers)Pegah Mirzapour (29 shared papers)Amir Masoud Afsahi (23 shared papers)Mehrzad MohsseniPour (15 shared papers)Farzin Vahedi (13 shared papers)
In The Last Decade
Omid Dadras
99 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Infectious Diseases 668
- Modeling and Simulation 102
- Health Informatics 20
- Neurology 220
- Health 116
Countries citing papers authored by Omid Dadras
This map shows the geographic impact of Omid Dadras'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 Omid Dadras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Dadras more than expected).
Fields of papers citing papers by Omid Dadras
This network shows the impact of papers produced by Omid Dadras. 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 Omid Dadras. The network helps show where Omid Dadras may publish in the future.
Co-authors
The 25 scholars most cited alongside Omid Dadras, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2021 | 91 | |
| 3 | 2021 | 89 | |
| 4 | 2021 | 65 | |
| 5 | 2021 | 61 | |
| 6 | 2020 | 58 | |
| 7 | 2021 | 52 | |
| 8 | 2023 | 48 | |
| 9 | 2021 | 46 | |
| 10 | 2021 | 40 | |
| 11 | 2020 | 39 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 35 | |
| 14 | 2022 | 35 | |
| 15 | 2021 | 35 | |
| 16 | 2023 | 32 | |
| 17 | 2021 | 30 | |
| 18 | 2022 | 30 | |
| 19 | 2021 | 26 | |
| 20 | 2022 | 21 |
About Omid Dadras
Omid Dadras is a scholar working on Infectious Diseases, Epidemiology, Clinical Psychology, Pediatrics, Perinatology and Child Health and General Health Professions, having authored 118 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (25 papers), Global Maternal and Child Health (15 papers), SARS-CoV-2 and COVID-19 Research (13 papers), HIV/AIDS Research and Interventions (12 papers), Long-Term Effects of COVID-19 (11 papers), HIV, Drug Use, Sexual Risk (11 papers), Migration, Health and Trauma (9 papers) and Adolescent Sexual and Reproductive Health (7 papers). The work is most often cited by research in Infectious Diseases (668 citations), Modeling and Simulation (102 citations), Health Informatics (20 citations), Neurology (220 citations) and Health (116 citations). Omid Dadras has collaborated with scholars based in Iran, Norway and Japan. Frequent co-authors include SeyedAhmad SeyedAlinaghi, Esmaeil Mehraeen, Alireza Barzegary, Amirali Karimi, Pegah Mirzapour, Amir Masoud Afsahi, Mehrzad MohsseniPour, Farzin Vahedi, Farzane Behnezhad and Seyed Ahmad Seyed Alinaghi. Their work appears in journals such as Infectious Disorders - Drug Targets, Journal of Health Population and Nutrition, BMC Pregnancy and Childbirth, Frontiers in Psychiatry and Frontiers in Public Health.
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.