Esma Herzel
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 3
-
- COVID-19 epidemiological studies 3
- Co-authors
- Gabriel Chodick (8 shared papers)Idan Yelin (6 shared papers)Roy Kishony (6 shared papers)Tal Patalon (7 shared papers)Sivan Gazit (7 shared papers)Rachel Katz (5 shared papers)Jacob Kuint (5 shared papers)Matan Levine-Tiefenbrun (4 shared papers)
- Journals
- Nature Medicine (3 papers)Nature Communications (1 paper)Clinical Infectious Diseases (1 paper)Science (1 paper)Radiology (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Esma Herzel
9 papers receiving 1.0k citations
Esma Herzel's Hit Papers
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 163
- Infectious Diseases 541
- Health Informatics 33
- Health 149
- Applied Microbiology and Biotechnology 16
Countries citing papers authored by Esma Herzel
This map shows the geographic impact of Esma Herzel'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 Esma Herzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esma Herzel more than expected).
Fields of papers citing papers by Esma Herzel
This network shows the impact of papers produced by Esma Herzel. 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 Esma Herzel. The network helps show where Esma Herzel may publish in the future.
Co-authors
The 25 scholars most cited alongside Esma Herzel, 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 | Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine Hit paper breakdown → | 2021 | 307 |
| 2 | Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections Hit paper breakdown → | 2022 | 217 |
| 3 | 2021 | 141 | |
| 4 | 2019 | 130 | |
| 5 | 2022 | 93 | |
| 6 | 2021 | 58 | |
| 7 | 2022 | 42 | |
| 8 | 2022 | 40 | |
| 9 | 2021 | 8 |
About Esma Herzel
Esma Herzel is a scholar working on Infectious Diseases, Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, Health and Oncology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 epidemiological studies (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Vaccine Coverage and Hesitancy (1 paper), Urinary Tract Infections Management (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Modeling and Simulation (163 citations), Infectious Diseases (541 citations), Health Informatics (33 citations), Health (149 citations) and Applied Microbiology and Biotechnology (16 citations). Esma Herzel has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Gabriel Chodick, Idan Yelin, Roy Kishony, Tal Patalon, Sivan Gazit, Rachel Katz, Jacob Kuint, Matan Levine-Tiefenbrun, Amir Ben‐Tov and Tamar Wolf. Their work appears in journals such as Nature Medicine, Nature Communications, Clinical Infectious Diseases, Science and Radiology.
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.