Maya Braun
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- Virology top 10%
- Rabies epidemiology and control
Papers in
-
- Mitochondrial Function and Pathology 4
- Fungal and yeast genetics research 2
-
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Gail Russell (3 shared papers)C. Morrissy (3 shared papers)Deborah Middleton (2 shared papers)H. A. Westbury (2 shared papers)Kim Halpin (1 shared paper)Peter W. Daniels (1 shared paper)AD Hyatt (1 shared paper)Katya Dolnikov (1 shared paper)
In The Last Decade
Maya Braun
22 papers receiving 689 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 432
- Virology 73
- Epidemiology 363
- Agronomy and Crop Science 59
- Ecology, Evolution, Behavior and Systematics 97
Countries citing papers authored by Maya Braun
This map shows the geographic impact of Maya Braun'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 Braun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Braun more than expected).
Fields of papers citing papers by Maya Braun
This network shows the impact of papers produced by Maya Braun. 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 Braun. The network helps show where Maya Braun may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Braun, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 208 | |
| 2 | 2002 | 178 | |
| 3 | 2021 | 122 | |
| 4 | Isolation of human herpesvirus-6 (HHV-6) from patients with collagen vascular diseases. | 1991 | 36 |
| 5 | 2019 | 33 | |
| 6 | 2014 | 30 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 10 | |
| 10 | 2006 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 1999 | 6 | |
| 13 | 2006 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2006 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2025 | 1 |
About Maya Braun
Maya Braun is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Cellular and Molecular Neuroscience and Virology, having authored 23 papers that have together received 704 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Virology and Viral Diseases (3 papers), Trauma and Emergency Care Studies (2 papers), Fungal and yeast genetics research (2 papers), Disaster Response and Management (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (432 citations), Virology (73 citations), Epidemiology (363 citations), Agronomy and Crop Science (59 citations) and Ecology, Evolution, Behavior and Systematics (97 citations). Maya Braun has collaborated with scholars based in Israel, Australia and Finland. Frequent co-authors include Gail Russell, C. Morrissy, Deborah Middleton, H. A. Westbury, Kim Halpin, Peter W. Daniels, AD Hyatt, Katya Dolnikov, Yolanda Braun‐Moscovici and Yonit Tavor. Their work appears in journals such as iScience, Journal of Hepatology, Clinical Orthopaedics and Related Research, Journal of Comparative Pathology and Biologicals.
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.