Sabah Bidawid
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 23
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology 7
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 8
- Endocrinology top 5%
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety 6
-
- Viral Infections and Immunology Research 5
-
- Virus-based gene therapy research 4
-
- Salmonella and Campylobacter epidemiology 3
-
- Biosensors and Analytical Detection 3
- Co-authors
- Syed A. SattarJeff FarberJeffrey M. FarberKirsten MattisonNormaliza Ab MalikFranco PagottoM. Nazarowec‐WhiteNathalie Corneau
- Journals
- Applied and Environmental Microbiology (1 paper)Frontiers in Microbiology (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Sabah Bidawid
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 992
- Hepatology 243
- Animal Science and Zoology 309
- Endocrinology 152
- Biotechnology 166
Countries citing papers authored by Sabah Bidawid
This map shows the geographic impact of Sabah Bidawid'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 Sabah Bidawid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabah Bidawid more than expected).
Fields of papers citing papers by Sabah Bidawid
This network shows the impact of papers produced by Sabah Bidawid. 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 Sabah Bidawid. The network helps show where Sabah Bidawid may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sabah Bidawid, 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 | 0 | |
| 2 | 2021 | 18 | |
| 3 | 2020 | 13 | |
| 4 | 2018 | 20 | |
| 5 | 2017 | 12 | |
| 6 | 2017 | 28 | |
| 7 | 2017 | 50 | |
| 8 | 2015 | 29 | |
| 9 | 2011 | 8 | |
| 10 | 2010 | 25 | |
| 11 | 2009 | 30 | |
| 12 | 2008 | 10 | |
| 13 | 2007 | 34 | |
| 14 | 2007 | 92 | |
| 15 | 2004 | 99 | |
| 16 | 2003 | 138 | |
| 17 | 2002 | 98 | |
| 18 | 2000 | 91 | |
| 19 | 1989 | 7 | |
| 20 | In vivo modulation of thymus-derived lymphocytes with monoclonal antibodies in mice. III. Spontaneous and natural cytotoxic effector cells. | 1984 | 2 |
About Sabah Bidawid
Sabah Bidawid is a scholar working on Infectious Diseases, Hepatology and Animal Science and Zoology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (23 papers), Animal Virus Infections Studies (8 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Listeria monocytogenes in Food Safety (6 papers), Viral Infections and Immunology Research (5 papers), Virus-based gene therapy research (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Infectious Diseases (992 citations), Hepatology (243 citations) and Animal Science and Zoology (309 citations). Sabah Bidawid has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Syed A. Sattar, Jeff Farber, Jeffrey M. Farber, Kirsten Mattison, Normaliza Ab Malik, Franco Pagotto, M. Nazarowec‐White, Nathalie Corneau, Neda Nasheri and Angela Cook. Their work appears in journals such as Applied and Environmental Microbiology, Frontiers in Microbiology and Emerging 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.