Jonathan J. Herrera
Impact in
- Aging top 10%
Papers in
-
- Adipose Tissue and Metabolism 7
- Diet and metabolism studies 2
- Co-authors
- Monika Fleshner (4 shared papers)Agnieszka Mika (2 shared papers)Antonio González (1 shared paper)Rob Knight (1 shared paper)Will Van Treuren (1 shared paper)Sharlene M. Day (6 shared papers)Maryann Concannon (1 shared paper)Annika M. Dries (1 shared paper)
- Journals
- Reviews in Endocrine and Metabolic Disorders (1 paper)JCI Insight (1 paper)PLoS ONE (1 paper)Proceedings of the National Academy of Sciences (1 paper)Behavioural Brain Research (1 paper)
- Partner nations
- United StatesNew ZealandNetherlands
In The Last Decade
Jonathan J. Herrera
14 papers receiving 637 citations
Peers
Comparison fields: 5 of 101
- Aging 26
- Biological Psychiatry 24
- Behavioral Neuroscience 30
- Cardiology and Cardiovascular Medicine 168
- Physiology 184
Countries citing papers authored by Jonathan J. Herrera
This map shows the geographic impact of Jonathan J. Herrera'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 Jonathan J. Herrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Herrera more than expected).
Fields of papers citing papers by Jonathan J. Herrera
This network shows the impact of papers produced by Jonathan J. Herrera. 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 Jonathan J. Herrera. The network helps show where Jonathan J. Herrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan J. Herrera, 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 | 2015 | 158 | |
| 2 | 2017 | 154 | |
| 3 | 2017 | 82 | |
| 4 | 2016 | 60 | |
| 5 | 2019 | 34 | |
| 6 | 2020 | 34 | |
| 7 | 2019 | 34 | |
| 8 | 2022 | 27 | |
| 9 | 2014 | 23 | |
| 10 | 2020 | 20 | |
| 11 | 2022 | 12 | |
| 12 | 1990 | 8 | |
| 13 | 2024 | 2 | |
| 14 | 2011 | 1 | |
| 15 | 2026 | 0 |
About Jonathan J. Herrera
Jonathan J. Herrera is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Aging and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 649 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Diet and metabolism studies (2 papers), Circadian rhythm and melatonin (2 papers), Cardiovascular and exercise physiology (2 papers), Mitochondrial Function and Pathology (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Aging (26 citations), Biological Psychiatry (24 citations), Behavioral Neuroscience (30 citations), Cardiology and Cardiovascular Medicine (168 citations) and Physiology (184 citations). Jonathan J. Herrera has collaborated with scholars based in United States, New Zealand and Netherlands. Frequent co-authors include Monika Fleshner, Agnieszka Mika, Antonio González, Rob Knight, Will Van Treuren, Sharlene M. Day, Maryann Concannon, Annika M. Dries, Sara Saberi and Jonathan Myers. Their work appears in journals such as Reviews in Endocrine and Metabolic Disorders, JCI Insight, PLoS ONE, Proceedings of the National Academy of Sciences and Behavioural Brain 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.