Walid Azab
Impact in
- Epidemiology top 5%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 39
- Herpesvirus Infections and Treatments 36
- Cytomegalovirus and herpesvirus research 25
- Oncology 14
- Viral-associated cancers and disorders 14
- Co-authors
- Nikolaus Osterrieder (29 shared papers)Rainer Haag (4 shared papers)Guanggang Ma (1 shared paper)Kentaro Kato (8 shared papers)Alex D. Greenwood (7 shared papers)Hiroomi Akashi (8 shared papers)Jose Luis Cuellar‐Camacho (2 shared papers)Yukinobu Tohya (7 shared papers)
In The Last Decade
Walid Azab
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Epidemiology 608
- Agronomy and Crop Science 177
- Parasitology 97
- Equine 18
- Infectious Diseases 190
Countries citing papers authored by Walid Azab
This map shows the geographic impact of Walid Azab'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 Walid Azab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walid Azab more than expected).
Fields of papers citing papers by Walid Azab
This network shows the impact of papers produced by Walid Azab. 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 Walid Azab. The network helps show where Walid Azab may publish in the future.
Co-authors
The 25 scholars most cited alongside Walid Azab, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2013 | 95 | |
| 3 | 2019 | 94 | |
| 4 | 2017 | 69 | |
| 5 | 2018 | 52 | |
| 6 | 2009 | 51 | |
| 7 | 2011 | 41 | |
| 8 | 2013 | 34 | |
| 9 | 2013 | 28 | |
| 10 | 2009 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2015 | 27 | |
| 13 | 2017 | 27 | |
| 14 | 2010 | 27 | |
| 15 | 2012 | 26 | |
| 16 | 2017 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2009 | 24 | |
| 19 | 2015 | 23 | |
| 20 | 2009 | 20 |
About Walid Azab
Walid Azab is a scholar working on Epidemiology, Oncology, Immunology, Agronomy and Crop Science and Molecular Biology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (36 papers), Cytomegalovirus and herpesvirus research (25 papers), Viral-associated cancers and disorders (14 papers), Animal Disease Management and Epidemiology (9 papers), Virus-based gene therapy research (7 papers), Toxoplasma gondii Research Studies (5 papers), Vector-Borne Animal Diseases (4 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Epidemiology (608 citations), Agronomy and Crop Science (177 citations), Parasitology (97 citations), Equine (18 citations) and Infectious Diseases (190 citations). Walid Azab has collaborated with scholars based in Germany, Egypt and Japan. Frequent co-authors include Nikolaus Osterrieder, Rainer Haag, Guanggang Ma, Kentaro Kato, Alex D. Greenwood, Hiroomi Akashi, Jose Luis Cuellar‐Camacho, Yukinobu Tohya, Daisuke Yamane and Anisha Dayaram. Their work appears in journals such as Journal of Virology, Veterinary Microbiology, Viruses, Virus Research and Journal of General Virology.
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.