Jeffrey H. Burton
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 6
- Modeling and Simulation top 2%
- Infectious Diseases top 2%
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management 5
- Health top 5%
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- Diet and metabolism studies 6
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- Obesity, Physical Activity, Diet 6
- Nutritional Studies and Diet 5
- Opioid Use Disorder Treatment 4
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- Primary Care and Health Outcomes 4
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- Pain Management and Opioid Use 3
- Co-authors
- Eboni G. Price‐HaywoodDaniel FortLeonardo SeoaneLeanne M. RedmanCorby K. MartinÉric RavussinSteven R. SmithDora Il’yasova
- Journals
- Journal of Nutrition (2 papers)Journal of Clinical Oncology (2 papers)Journal of General Internal Medicine (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jeffrey H. Burton
54 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Aging 147
- Modeling and Simulation 161
- Infectious Diseases 594
- Obstetrics and Gynecology 210
- Health 169
Countries citing papers authored by Jeffrey H. Burton
This map shows the geographic impact of Jeffrey H. Burton'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 Jeffrey H. Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey H. Burton more than expected).
Fields of papers citing papers by Jeffrey H. Burton
This network shows the impact of papers produced by Jeffrey H. Burton. 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 Jeffrey H. Burton. The network helps show where Jeffrey H. Burton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey H. Burton, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 75 | |
| 15 | 2017 | 19 | |
| 16 | 2016 | 20 | |
| 17 | 2015 | 69 | |
| 18 | 2015 | 76 | |
| 19 | 2015 | 24 | |
| 20 | 2015 | 13 |
About Jeffrey H. Burton
Jeffrey H. Burton is a scholar working on Aging, Obstetrics and Gynecology, Geriatrics and Gerontology, Medical Laboratory Technology and Anesthesiology and Pain Medicine, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Diet and metabolism studies (6 papers), Obesity, Physical Activity, Diet (6 papers), Nutritional Studies and Diet (5 papers), Gestational Diabetes Research and Management (5 papers), Opioid Use Disorder Treatment (4 papers), Primary Care and Health Outcomes (4 papers) and Pain Management and Opioid Use (3 papers). The work is most often cited by research in Aging (147 citations), Modeling and Simulation (161 citations), Infectious Diseases (594 citations), Obstetrics and Gynecology (210 citations) and Health (169 citations). Jeffrey H. Burton has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Eboni G. Price‐Haywood, Daniel Fort, Leonardo Seoane, Leanne M. Redman, Corby K. Martin, Éric Ravussin, Steven R. Smith, Dora Il’yasova, Frank L. Greenway and J. T. Reid. Their work appears in journals such as Journal of Nutrition, Journal of Clinical Oncology, Journal of General Internal Medicine, PLoS ONE and Cell Metabolism.
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.