Maya Moshe
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 5
- COVID-19 Clinical Research Studies 2
- Oncology 3
- Neutropenia and Cancer Infections 2
- Co-authors
- William Barclay (10 shared papers)Jonathan C. Brown (6 shared papers)Christina Joanne Atchison (4 shared papers)Paul Elliott (6 shared papers)Lord Ara Darzi (6 shared papers)Graham Cooke (6 shared papers)Helen Ward (6 shared papers)Saul Greenberg (1 shared paper)
- Journals
- Transplantation and Cellular Therapy (2 papers)Wellcome Open Research (2 papers)The Lancet Microbe (1 paper)Water Research (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United KingdomIsraelUnited States
In The Last Decade
Maya Moshe
15 papers receiving 306 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 121
- Modeling and Simulation 28
- Microbiology 25
- Critical Care and Intensive Care Medicine 10
- Emergency Medicine 15
Countries citing papers authored by Maya Moshe
This map shows the geographic impact of Maya Moshe'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 Moshe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Moshe more than expected).
Fields of papers citing papers by Maya Moshe
This network shows the impact of papers produced by Maya Moshe. 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 Moshe. The network helps show where Maya Moshe may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Moshe, 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 | 2021 | 67 | |
| 2 | 1987 | 64 | |
| 3 | 2023 | 38 | |
| 4 | 2014 | 32 | |
| 5 | 2022 | 32 | |
| 6 | 2017 | 22 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 |
About Maya Moshe
Maya Moshe is a scholar working on Infectious Diseases, Oncology, Microbiology, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (5 papers), Infection Control and Ventilation (2 papers), COVID-19 Clinical Research Studies (2 papers), Neutropenia and Cancer Infections (2 papers), Animal Virus Infections Studies (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (121 citations), Modeling and Simulation (28 citations), Microbiology (25 citations), Critical Care and Intensive Care Medicine (10 citations) and Emergency Medicine (15 citations). Maya Moshe has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include William Barclay, Jonathan C. Brown, Christina Joanne Atchison, Paul Elliott, Lord Ara Darzi, Graham Cooke, Helen Ward, Saul Greenberg, Matthew D. Whitaker and Norman Ruthven Saunders. Their work appears in journals such as Transplantation and Cellular Therapy, Wellcome Open Research, The Lancet Microbe, Water Research and Clinical 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.