Smadar Shilo
Impact in
- Health Informatics top 2%
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 3
-
- Diabetes Management and Research 6
- Co-authors
- Eran SegalHagai RossmanAnastasia GodnevaTomer MeirMalka GorfineUri ShalitAdina WeinbergerMaya Lotan‐Pompan
- Journals
- Nature Medicine (4 papers)Nature Communications (3 papers)Pediatric Diabetes (3 papers)Aquaculture (2 papers)Diabetes Care (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Smadar Shilo
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 149
- Health Informatics 76
- Modeling and Simulation 121
- Health Information Management 99
- Endocrinology, Diabetes and Metabolism 246
- Obstetrics and Gynecology 104
Countries citing papers authored by Smadar Shilo
This map shows the geographic impact of Smadar Shilo'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 Smadar Shilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smadar Shilo more than expected).
Fields of papers citing papers by Smadar Shilo
This network shows the impact of papers produced by Smadar Shilo. 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 Smadar Shilo. The network helps show where Smadar Shilo may publish in the future.
Co-authors
The 25 scholars most cited alongside Smadar Shilo, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 28 | |
| 4 | 2023 | 44 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 46 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 169 | |
| 15 | 2016 | 19 | |
| 16 | 2016 | 19 | |
| 17 | 2015 | 5 | |
| 18 | 2014 | 10 | |
| 19 | 2011 | 4 | |
| 20 | The use of 75Se-Selenocholestrol SPECT in the localization of steroid-secreting tumor. | 2001 | 1 |
About Smadar Shilo
Smadar Shilo is a scholar working on Modeling and Simulation, Endocrinology, Diabetes and Metabolism, Applied Microbiology and Biotechnology, Genetics and Health, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Diabetes Management and Research (6 papers), Diabetes and associated disorders (5 papers), Nutritional Studies and Diet (4 papers), Pancreatic function and diabetes (4 papers), Genetic Associations and Epidemiology (3 papers), COVID-19 epidemiological studies (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Health Informatics (76 citations), Modeling and Simulation (121 citations), Health Information Management (99 citations), Endocrinology, Diabetes and Metabolism (246 citations) and Obstetrics and Gynecology (104 citations). Smadar Shilo has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Eran Segal, Hagai Rossman, Anastasia Godneva, Tomer Meir, Malka Gorfine, Uri Shalit, Adina Weinberger, Maya Lotan‐Pompan, Michal Rein and Orly Ben-Yacov. Their work appears in journals such as Nature Medicine, Nature Communications, Pediatric Diabetes, Aquaculture and Diabetes Care.
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.