Ashraf 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 11
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 detection and testing 5
- Surgery 5
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Gerd Schmitz (12 shared papers)Stefan Barlage (4 shared papers)Abeer N. Alshukairi (12 shared papers)Alfred Boettcher (3 shared papers)Waleed Ahmed (3 shared papers)Stanley Perlman (3 shared papers)Imran Khalid (2 shared papers)Gottfried Schmalz (1 shared paper)
- Journals
- Journal of Infection and Public Health (4 papers)Cytometry Part A (2 papers)Biochemical and Biophysical Research Communications (1 paper)Langenbeck s Archives of Surgery (1 paper)Journal of Epidemiology and Global Health (1 paper)
- Partner nations
- GermanySaudi ArabiaUnited States
In The Last Decade
Ashraf Dada
29 papers receiving 941 citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 289
- Urology 71
- Immunology 168
- Modeling and Simulation 36
- Endocrine and Autonomic Systems 37
Countries citing papers authored by Ashraf Dada
This map shows the geographic impact of Ashraf 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 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 Dada more than expected).
Fields of papers citing papers by Ashraf Dada
This network shows the impact of papers produced by Ashraf 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 Dada. The network helps show where Ashraf Dada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashraf 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 196 | |
| 2 | 2006 | 119 | |
| 3 | 2006 | 113 | |
| 4 | 2016 | 99 | |
| 5 | 2006 | 98 | |
| 6 | 2007 | 67 | |
| 7 | 2004 | 65 | |
| 8 | 2007 | 37 | |
| 9 | 2004 | 35 | |
| 10 | 2006 | 29 | |
| 11 | 2006 | 27 | |
| 12 | 2007 | 19 | |
| 13 | 2021 | 11 | |
| 14 | 2007 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Ashraf Dada
Ashraf Dada is a scholar working on Infectious Diseases, Surgery, Molecular Biology, Physiology and Hematology, having authored 30 papers that have together received 975 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 detection and testing (5 papers), Cholesterol and Lipid Metabolism (3 papers), Blood groups and transfusion (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Blood transfusion and management (2 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Infectious Diseases (289 citations), Urology (71 citations), Immunology (168 citations), Modeling and Simulation (36 citations) and Endocrine and Autonomic Systems (37 citations). Ashraf Dada has collaborated with scholars based in Germany, Saudi Arabia and United States. Frequent co-authors include Gerd Schmitz, Stefan Barlage, Abeer N. Alshukairi, Alfred Boettcher, Waleed Ahmed, Stanley Perlman, Imran Khalid, Gottfried Schmalz, M. Christgau and Charalampos Aslanidis. Their work appears in journals such as Journal of Infection and Public Health, Cytometry Part A, Biochemical and Biophysical Research Communications, Langenbeck s Archives of Surgery and Journal of Epidemiology and Global 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.