Maya Azrad
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- Clostridium difficile and Clostridium perfringens research 11
- Viral gastroenteritis research and epidemiology 7
- Antimicrobial Resistance in Staphylococcus 7
- Epidemiology 13
- Respiratory viral infections research 4
- Co-authors
- Avi Peretz (44 shared papers)Moshe Gavish (4 shared papers)Leo Veenman (3 shared papers)Orna Nitzan (9 shared papers)Avi On (4 shared papers)Arnon Blum (1 shared paper)Abraham Weizman (2 shared papers)Ilan Marek (1 shared paper)
In The Last Decade
Maya Azrad
43 papers receiving 418 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 40
- Infectious Diseases 117
- Applied Microbiology and Biotechnology 12
- Clinical Biochemistry 32
- Neurology 37
Countries citing papers authored by Maya Azrad
This map shows the geographic impact of Maya Azrad'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 Maya Azrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Azrad more than expected).
Fields of papers citing papers by Maya Azrad
This network shows the impact of papers produced by Maya Azrad. 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 Maya Azrad. The network helps show where Maya Azrad may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Azrad, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | 2016 | 39 | |
| 3 | 2019 | 32 | |
| 4 | 2022 | 28 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 15 | |
| 10 | 2017 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2023 | 6 |
About Maya Azrad
Maya Azrad is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Surgery and Molecular Biology, having authored 48 papers that have together received 422 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (11 papers), Antibiotic Resistance in Bacteria (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Respiratory viral infections research (4 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (40 citations), Infectious Diseases (117 citations), Applied Microbiology and Biotechnology (12 citations), Clinical Biochemistry (32 citations) and Neurology (37 citations). Maya Azrad has collaborated with scholars based in Israel and Germany. Frequent co-authors include Avi Peretz, Moshe Gavish, Leo Veenman, Orna Nitzan, Avi On, Arnon Blum, Abraham Weizman, Ilan Marek, Beatriz Caballero and Sukhdev Singh. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Microbiology, Journal of Lower Genital Tract Disease, Diagnostic Microbiology and Infectious Disease and Microbiology Spectrum.
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.