Noa Kosower
Impact in
- Molecular Biology top 2%
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Diabetes Management and Research 3
- Diabetes Treatment and Management 1
- Genetics 3
- Nutrition, Genetics, and Disease 3
- Co-authors
- Michal Rein (3 shared papers)Niv Zmora (3 shared papers)Eran Elinav (3 shared papers)Adina Weinberger (3 shared papers)Eran Segal (3 shared papers)Maya Lotan‐Pompan (3 shared papers)Tali Avnit-Sagi (1 shared paper)Tal Korem (1 shared paper)
- Journals
- Nature (2 papers)BMC Medicine (1 paper)Diabetes Care (1 paper)Cell Metabolism (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- IsraelNetherlandsSweden
In The Last Decade
Noa Kosower
7 papers receiving 5.1k citations
Noa Kosower's Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 3.1k
- Health Informatics 108
- Nutrition and Dietetics 311
- Endocrinology, Diabetes and Metabolism 393
- Genetics 663
Countries citing papers authored by Noa Kosower
This map shows the geographic impact of Noa Kosower'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 Noa Kosower with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Kosower more than expected).
Fields of papers citing papers by Noa Kosower
This network shows the impact of papers produced by Noa Kosower. 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 Noa Kosower. The network helps show where Noa Kosower may publish in the future.
Co-authors
The 21 scholars most cited alongside Noa Kosower, 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 | Environment dominates over host genetics in shaping human gut microbiota Hit paper breakdown → | 2018 | 2193 |
| 2 | Personalized Nutrition by Prediction of Glycemic Responses Hit paper breakdown → | 2015 | 2135 |
| 3 | A reference map of potential determinants for the human serum metabolome Hit paper breakdown → | 2020 | 340 |
| 4 | 2017 | 270 | |
| 5 | 2022 | 119 | |
| 6 | 2021 | 115 | |
| 7 | 2021 | 74 |
About Noa Kosower
Noa Kosower is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 7 papers that have together received 5.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Nutrition, Genetics, and Disease (3 papers), Gut microbiota and health (3 papers), Food composition and properties (1 paper), Nutritional Studies and Diet (1 paper), Diabetes Treatment and Management (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Molecular Biology (3.1k citations), Health Informatics (108 citations), Nutrition and Dietetics (311 citations), Endocrinology, Diabetes and Metabolism (393 citations) and Genetics (663 citations). Noa Kosower has collaborated with scholars based in Israel, Netherlands and Sweden. Frequent co-authors include Michal Rein, Niv Zmora, Eran Elinav, Adina Weinberger, Eran Segal, Maya Lotan‐Pompan, Tali Avnit-Sagi, Tal Korem, Noam Bar and David Zeevi. Their work appears in journals such as Nature, BMC Medicine, Diabetes Care, Cell Metabolism and Cell Reports Medicine.
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.