Eric D. Buras
Impact in
-
- Regulation of Appetite and Obesity
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Adipose Tissue and Metabolism 4
- Surgery 5
- Co-authors
- Ashok Balasubramanyam (2 shared papers)Payal Patel (1 shared paper)Lawrence Chan (5 shared papers)Yuxiang Sun (2 shared papers)Ligen Lin (2 shared papers)Pradip Saha (2 shared papers)Qiang Tong (1 shared paper)Longjiang Shao (1 shared paper)
- Journals
- JCI Insight (2 papers)PLoS ONE (2 papers)Clinical Endocrinology (1 paper)Diabetes (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Eric D. Buras
16 papers receiving 826 citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 172
- Sensory Systems 75
- Physiology 263
- Nutrition and Dietetics 98
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Eric D. Buras
This map shows the geographic impact of Eric D. Buras'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 Eric D. Buras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Buras more than expected).
Fields of papers citing papers by Eric D. Buras
This network shows the impact of papers produced by Eric D. Buras. 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 Eric D. Buras. The network helps show where Eric D. Buras may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Buras, 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 | 2011 | 160 | |
| 2 | 2013 | 148 | |
| 3 | 2010 | 78 | |
| 4 | 2017 | 73 | |
| 5 | 2016 | 66 | |
| 6 | 2013 | 64 | |
| 7 | 2018 | 61 | |
| 8 | 2005 | 45 | |
| 9 | 2009 | 34 | |
| 10 | 2023 | 32 | |
| 11 | 2012 | 26 | |
| 12 | 2005 | 24 | |
| 13 | 2015 | 11 | |
| 14 | 2015 | 8 | |
| 15 | 2024 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Eric D. Buras
Eric D. Buras is a scholar working on Physiology, Surgery, Molecular Biology, Epidemiology and Endocrine and Autonomic Systems, having authored 20 papers that have together received 834 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Nuclear Structure and Function (3 papers), Diabetes Management and Research (2 papers), Diabetes and associated disorders (2 papers), Vestibular and auditory disorders (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (172 citations), Sensory Systems (75 citations), Physiology (263 citations), Nutrition and Dietetics (98 citations) and Endocrinology, Diabetes and Metabolism (89 citations). Eric D. Buras has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Ashok Balasubramanyam, Payal Patel, Lawrence Chan, Yuxiang Sun, Ligen Lin, Pradip Saha, Qiang Tong, Longjiang Shao, Xiaojun Ma and Benny Hung‐Junn Chang. Their work appears in journals such as JCI Insight, PLoS ONE, Clinical Endocrinology, Diabetes and Gene Therapy.
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.