Idan Yelin
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 6
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 3
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 3
- Health top 5%
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- Evolution and Genetic Dynamics 5
- Bacterial Genetics and Biotechnology 3
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- Bacterial Identification and Susceptibility Testing 3
- Co-authors
- Roy KishonyTami D. LiebermanGabriel ChodickRachel KatzRemy ChaitEsma HerzelMichael BaymEric D. Kelsic
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Idan Yelin
20 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Medicine 320
- Applied Microbiology and Biotechnology 107
- Modeling and Simulation 232
- Infectious Diseases 860
- Health 178
Countries citing papers authored by Idan Yelin
This map shows the geographic impact of Idan Yelin'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 Idan Yelin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idan Yelin more than expected).
Fields of papers citing papers by Idan Yelin
This network shows the impact of papers produced by Idan Yelin. 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 Idan Yelin. The network helps show where Idan Yelin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Idan Yelin, 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 | 2024 | 9 | |
| 2 | 2023 | 6 | |
| 3 | Minimizing treatment-induced emergence of antibiotic resistance in bacterial infectionsbreakdown → | 2022 | 205 |
| 4 | 2022 | 42 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 139 | |
| 7 | 2021 | 58 | |
| 8 | 2021 | 7 | |
| 9 | Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccinebreakdown → | 2021 | 305 |
| 10 | 2020 | 248 | |
| 11 | 2020 | 31 | |
| 12 | 2019 | 196 | |
| 13 | 2019 | 140 | |
| 14 | 2018 | 161 | |
| 15 | 2017 | 14 | |
| 16 | 2016 | 45 | |
| 17 | Spatiotemporal microbial evolution on antibiotic landscapesbreakdown → | 2016 | 363 |
| 18 | 2013 | 193 | |
| 19 | 2011 | 73 | |
| 20 | 2009 | 12 |
About Idan Yelin
Idan Yelin is a scholar working on Molecular Medicine, Modeling and Simulation and Clinical Biochemistry, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Evolution and Genetic Dynamics (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (4 papers), COVID-19 epidemiological studies (3 papers), COVID-19 Clinical Research Studies (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Molecular Medicine (320 citations), Applied Microbiology and Biotechnology (107 citations) and Modeling and Simulation (232 citations). Idan Yelin has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Roy Kishony, Tami D. Lieberman, Gabriel Chodick, Rachel Katz, Remy Chait, Esma Herzel, Michael Baym, Eric D. Kelsic, Sivan Gazit and Jacob Kuint. Their work appears in journals such as Science, Cell and Nucleic Acids Research.
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.