John C. Earls
Impact in
Papers in
-
- Metabolomics and Mass Spectrometry Studies 8
- Gut microbiota and health 2
- Epigenetics and DNA Methylation 1
-
- Diet and metabolism studies 4
- Co-authors
- Nathan D. Price (12 shared papers)Leroy Hood (8 shared papers)Andrew T. Magis (8 shared papers)Jennifer C. Lovejoy (6 shared papers)Gilbert S. Omenn (5 shared papers)Tomasz Wilmanski (4 shared papers)Noa Rappaport (3 shared papers)Sean M. Gibbons (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Biotechnology (2 papers)Bioinformatics (1 paper)Nature Medicine (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John C. Earls
15 papers receiving 868 citations
Peers
Comparison fields: 5 of 123
- Biological Psychiatry 23
- Computational Mathematics 5
- Physiology 180
- Aging 13
- Molecular Biology 480
Countries citing papers authored by John C. Earls
This map shows the geographic impact of John C. Earls'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 John C. Earls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Earls more than expected).
Fields of papers citing papers by John C. Earls
This network shows the impact of papers produced by John C. Earls. 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 John C. Earls. The network helps show where John C. Earls may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Earls, 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 | 2017 | 300 | |
| 2 | 2019 | 228 | |
| 3 | 2023 | 83 | |
| 4 | 2019 | 63 | |
| 5 | 2013 | 60 | |
| 6 | 2020 | 49 | |
| 7 | 2017 | 40 | |
| 8 | 2020 | 35 | |
| 9 | 2014 | 19 | |
| 10 | 2020 | 12 | |
| 11 | 2011 | 10 | |
| 12 | 2013 | 8 | |
| 13 | Planificación agrícola andina : bases para un manejo cibernético de sistemas de andenes | 1989 | 4 |
| 14 | La agricultura andina ante una globalización en desplome | 2006 | 3 |
| 15 | 2015 | 1 | |
| 16 | 2024 | 0 |
About John C. Earls
John C. Earls is a scholar working on Molecular Biology, Physiology, Cancer Research, Genetics and General Health Professions, having authored 16 papers that have together received 915 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Diet and metabolism studies (4 papers), Gut microbiota and health (2 papers), Genetic Associations and Epidemiology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biological Psychiatry (23 citations), Computational Mathematics (5 citations), Physiology (180 citations), Aging (13 citations) and Molecular Biology (480 citations). John C. Earls has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nathan D. Price, Leroy Hood, Andrew T. Magis, Jennifer C. Lovejoy, Gilbert S. Omenn, Tomasz Wilmanski, Noa Rappaport, Sean M. Gibbons, Ohad Manor and Roie Levy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology, Bioinformatics, Nature Medicine and Cell Systems.
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.