Sharon Amit
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 26
- COVID-19 Clinical Research Studies 14
- SARS-CoV-2 detection and testing 10
- Antimicrobial Resistance in Staphylococcus 6
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 8
- Cancer Research top 1%
- Health top 1%
- Vaccine Coverage and Hesitancy 9
- Immunology top 2%
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- Streptococcal Infections and Treatments 8
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- COVID-19 diagnosis using AI 6
- Co-authors
- Yinon Ben‐NeriahEli PikarskyEithan GalunSimcha Urieli-ShovalRinat AbramovitchIlan SteinRinnat M. PoratGili Regev‐Yochay
- Journals
- The Pediatric Infectious Disease Journal (6 papers)Clinical Microbiology and Infection (5 papers)Scientific Reports (4 papers)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Sharon Amit
100 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Infectious Diseases 1.9k
- Modeling and Simulation 409
- Cancer Research 1.1k
- Health 479
- Immunology 1.1k
Countries citing papers authored by Sharon Amit
This map shows the geographic impact of Sharon Amit'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 Sharon Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Amit more than expected).
Fields of papers citing papers by Sharon Amit
This network shows the impact of papers produced by Sharon Amit. 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 Sharon Amit. The network helps show where Sharon Amit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sharon Amit, 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 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 20 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 29 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 9 | |
| 18 | 2017 | 27 | |
| 19 | 2014 | 8 | |
| 20 | 2014 | 52 |
About Sharon Amit
Sharon Amit is a scholar working on Infectious Diseases, Microbiology, Modeling and Simulation, Parasitology and Health, having authored 109 papers that have together received 6.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (26 papers), COVID-19 Clinical Research Studies (14 papers), SARS-CoV-2 detection and testing (10 papers), Vaccine Coverage and Hesitancy (9 papers), Streptococcal Infections and Treatments (8 papers), COVID-19 epidemiological studies (8 papers), COVID-19 diagnosis using AI (6 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Modeling and Simulation (409 citations), Cancer Research (1.1k citations), Health (479 citations) and Immunology (1.1k citations). Sharon Amit has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Yinon Ben‐Neriah, Eli Pikarsky, Eithan Galun, Simcha Urieli-Shoval, Rinat Abramovitch, Ilan Stein, Rinnat M. Porat, Gili Regev‐Yochay, Jens Andersen and Ada Hatzubai. Their work appears in journals such as The Pediatric Infectious Disease Journal, Clinical Microbiology and Infection, Scientific Reports, JAMA Network Open 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.