Noam Bar
Impact in
- Physiology top 10%
- Diet and metabolism studies
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- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
Papers in
-
- Gut microbiota and health 4
- Metabolomics and Mass Spectrometry Studies 2
- Epigenetics and DNA Methylation 1
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- Diet and metabolism studies 3
- Co-authors
- Eran Segal (8 shared papers)Adina Weinberger (7 shared papers)Maya Lotan‐Pompan (5 shared papers)Tal Korem (3 shared papers)Anastasia Godneva (6 shared papers)David Zeevi (2 shared papers)Alexander Kurilshikov (1 shared paper)Alexandra Zhernakova (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature Medicine (1 paper)European Journal of Epidemiology (1 paper)Diabetes Care (1 paper)Agronomy Journal (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Noam Bar
12 papers receiving 820 citations
Peers
Comparison fields: 5 of 103
- Physiology 208
- Molecular Biology 485
- Biological Psychiatry 14
- Health Informatics 7
- Aging 9
Countries citing papers authored by Noam Bar
This map shows the geographic impact of Noam Bar'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 Noam Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Bar more than expected).
Fields of papers citing papers by Noam Bar
This network shows the impact of papers produced by Noam Bar. 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 Noam Bar. The network helps show where Noam Bar may publish in the future.
Co-authors
The 25 scholars most cited alongside Noam Bar, 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 | 2019 | 242 | |
| 2 | 2017 | 223 | |
| 3 | 2022 | 137 | |
| 4 | 2023 | 52 | |
| 5 | 2019 | 50 | |
| 6 | 2023 | 36 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 2 |
About Noam Bar
Noam Bar is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, General Health Professions and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 828 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Diet and metabolism studies (3 papers), Nutritional Studies and Diet (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Diabetes Management and Research (1 paper), Epigenetics and DNA Methylation (1 paper), Remote Sensing in Agriculture (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Physiology (208 citations), Molecular Biology (485 citations), Biological Psychiatry (14 citations), Health Informatics (7 citations) and Aging (9 citations). Noam Bar has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Eran Segal, Adina Weinberger, Maya Lotan‐Pompan, Tal Korem, Anastasia Godneva, David Zeevi, Alexander Kurilshikov, Alexandra Zhernakova, Cisca Wijmenga and Jingyuan Fu. Their work appears in journals such as Nature Communications, Nature Medicine, European Journal of Epidemiology, Diabetes Care and Agronomy Journal.
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.