Mayan Gilboa
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 4
- Clostridium difficile and Clostridium perfringens research 4
- Health 4
- Vaccine Coverage and Hesitancy 4
- Co-authors
- Gili Regev‐Yochay (20 shared papers)Yitshak Kreiss (10 shared papers)Sharon Amit (12 shared papers)Ella Mendelson (8 shared papers)Ram Doolman (7 shared papers)Yaniv Lustig (10 shared papers)Keren Asraf (8 shared papers)Victoria Indenbaum (7 shared papers)
- Journals
- JAMA Network Open (3 papers)Eurosurveillance (2 papers)Infection Control and Hospital Epidemiology (2 papers)The Journal of Infectious Diseases (2 papers)Nature Communications (1 paper)
- Partner nations
- IsraelUnited StatesCzechia
In The Last Decade
Mayan Gilboa
24 papers receiving 424 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 29
- Infectious Diseases 287
- Modeling and Simulation 38
- Health 56
- Family Practice 4
Countries citing papers authored by Mayan Gilboa
This map shows the geographic impact of Mayan Gilboa'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 Mayan Gilboa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayan Gilboa more than expected).
Fields of papers citing papers by Mayan Gilboa
This network shows the impact of papers produced by Mayan Gilboa. 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 Mayan Gilboa. The network helps show where Mayan Gilboa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayan Gilboa, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 82 | |
| 2 | 2023 | 51 | |
| 3 | 2022 | 51 | |
| 4 | 2021 | 35 | |
| 5 | 2022 | 32 | |
| 6 | 2019 | 24 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2022 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About Mayan Gilboa
Mayan Gilboa is a scholar working on Infectious Diseases, Health, Obstetrics and Gynecology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 427 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Vaccine Coverage and Hesitancy (4 papers), SARS-CoV-2 detection and testing (4 papers), COVID-19 Clinical Research Studies (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), COVID-19 Impact on Reproduction (3 papers), COVID-19 epidemiological studies (2 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Health Informatics (29 citations), Infectious Diseases (287 citations), Modeling and Simulation (38 citations), Health (56 citations) and Family Practice (4 citations). Mayan Gilboa has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Gili Regev‐Yochay, Yitshak Kreiss, Sharon Amit, Ella Mendelson, Ram Doolman, Yaniv Lustig, Keren Asraf, Victoria Indenbaum, Laurence S. Freedman and Michal Mandelboim. Their work appears in journals such as JAMA Network Open, Eurosurveillance, Infection Control and Hospital Epidemiology, The Journal of Infectious Diseases and Nature Communications.
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.