Jonathan J. Herrera
Impact in
- Aging top 10%
Papers in
-
- Adipose Tissue and Metabolism 7
- Diet and metabolism studies 2
-
- Cardiovascular Effects of Exercise 2
- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Monika Fleshner (4 shared papers)Agnieszka Mika (2 shared papers)Rob Knight (1 shared paper)Antonio González (1 shared paper)Will Van Treuren (1 shared paper)Sharlene M. Day (6 shared papers)Anil Attili (1 shared paper)Matthew T. Wheeler (1 shared paper)
- Journals
- Muscle & Nerve (1 paper)Brain Behavior and Immunity (1 paper)JAMA (1 paper)The Journals of Gerontology Series A (1 paper)Water Research (1 paper)
- Partner nations
- United StatesNew ZealandChile
In The Last Decade
Jonathan J. Herrera
14 papers receiving 619 citations
Peers
Comparison fields: 5 of 106
- Aging 26
- Biological Psychiatry 28
- Behavioral Neuroscience 36
- Physiology 216
- Cardiology and Cardiovascular Medicine 185
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 | 157 | |
| 2 | 2017 | 153 | |
| 3 | 2017 | 79 | |
| 4 | 2016 | 56 | |
| 5 | 2019 | 34 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 32 | |
| 8 | 2022 | 24 | |
| 9 | 2014 | 23 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 11 | |
| 12 | 1990 | 8 | |
| 13 | 2024 | 2 | |
| 14 | 2011 | 1 |
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 14 papers that have together received 630 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Cardiovascular and exercise physiology (2 papers), Circadian rhythm and melatonin (2 papers), Cardiovascular Effects of Exercise (2 papers), Exercise and Physiological Responses (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Aging (26 citations), Biological Psychiatry (28 citations), Behavioral Neuroscience (36 citations), Physiology (216 citations) and Cardiology and Cardiovascular Medicine (185 citations). Jonathan J. Herrera has collaborated with scholars based in United States, New Zealand and Chile. Frequent co-authors include Monika Fleshner, Agnieszka Mika, Rob Knight, Antonio González, Will Van Treuren, Sharlene M. Day, Anil Attili, Matthew T. Wheeler, Maryann Concannon and Jonathan Myers. Their work appears in journals such as Muscle & Nerve, Brain Behavior and Immunity, JAMA, The Journals of Gerontology Series A and Water 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.