Ashraf M. Dada
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Urology top 5%
- Periodontal Regeneration and Treatments
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 detection and testing 6
-
- Blood groups and transfusion 2
- Co-authors
- Gerd Schmitz (12 shared papers)Abeer N. Alshukairi (12 shared papers)Stefan Barlage (4 shared papers)Alfred Boettcher (3 shared papers)Waleed Ahmed (3 shared papers)Imran Khalid (2 shared papers)Stanley M. Perlman (3 shared papers)Michael Christgau (1 shared paper)
- Journals
- Journal of Infection and Public Health (4 papers)Scientific Reports (2 papers)Cytometry Part A (2 papers)Emerging infectious diseases (2 papers)International Journal of Infectious Diseases (2 papers)
- Partner nations
- Saudi ArabiaGermanyUnited States
In The Last Decade
Ashraf M. Dada
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 352
- Urology 71
- Immunology 182
- Modeling and Simulation 39
- Endocrine and Autonomic Systems 37
Countries citing papers authored by Ashraf M. Dada
This map shows the geographic impact of Ashraf M. Dada'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 Ashraf M. Dada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashraf M. Dada more than expected).
Fields of papers citing papers by Ashraf M. Dada
This network shows the impact of papers produced by Ashraf M. Dada. 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 Ashraf M. Dada. The network helps show where Ashraf M. Dada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashraf M. Dada, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 234 | |
| 2 | 2006 | 125 | |
| 3 | 2016 | 115 | |
| 4 | 2006 | 113 | |
| 5 | 2006 | 98 | |
| 6 | 2007 | 69 | |
| 7 | 2004 | 65 | |
| 8 | 2007 | 37 | |
| 9 | 2004 | 35 | |
| 10 | 2006 | 30 | |
| 11 | 2006 | 27 | |
| 12 | 2007 | 19 | |
| 13 | 2023 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2007 | 8 |
About Ashraf M. Dada
Ashraf M. Dada is a scholar working on Infectious Diseases, Hematology, Biochemistry, Physiology and Cell Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 detection and testing (6 papers), Cholesterol and Lipid Metabolism (3 papers), Blood groups and transfusion (2 papers), Blood transfusion and management (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (352 citations), Urology (71 citations), Immunology (182 citations), Modeling and Simulation (39 citations) and Endocrine and Autonomic Systems (37 citations). Ashraf M. Dada has collaborated with scholars based in Saudi Arabia, Germany and United States. Frequent co-authors include Gerd Schmitz, Abeer N. Alshukairi, Stefan Barlage, Alfred Boettcher, Waleed Ahmed, Imran Khalid, Stanley M. Perlman, Michael Christgau, Karl-Anton Hiller and Gottfried Schmalz. Their work appears in journals such as Journal of Infection and Public Health, Scientific Reports, Cytometry Part A, Emerging infectious diseases and International Journal of Infectious Diseases.
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.