Daniel C. Bittel
Impact in
-
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Diet and metabolism studies
Papers in
- Physiology 10
- Adipose Tissue and Metabolism 7
- Diet and metabolism studies 4
-
- Muscle Physiology and Disorders 5
- Co-authors
- Jyoti K. Jaiswal (8 shared papers)Adam J. Bittel (13 shared papers)David R. Sinacore (5 shared papers)W. Todd Cade (6 shared papers)Lori J. Tuttle (3 shared papers)Michael J. Mueller (2 shared papers)Goutam Chandra (2 shared papers)Paul K. Commean (1 shared paper)
- Journals
- Diabetes (2 papers)Advanced Science (2 papers)iScience (1 paper)Cell Metabolism (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Daniel C. Bittel
17 papers receiving 290 citations
Peers
Comparison fields: 5 of 78
- Physiology 105
- Rehabilitation 23
- Endocrinology, Diabetes and Metabolism 47
- Cell Biology 40
- Geriatrics and Gerontology 8
Countries citing papers authored by Daniel C. Bittel
This map shows the geographic impact of Daniel C. Bittel'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 Daniel C. Bittel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Bittel more than expected).
Fields of papers citing papers by Daniel C. Bittel
This network shows the impact of papers produced by Daniel C. Bittel. 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 Daniel C. Bittel. The network helps show where Daniel C. Bittel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Bittel, 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 | 2019 | 52 | |
| 2 | 2014 | 50 | |
| 3 | 2020 | 37 | |
| 4 | 2015 | 26 | |
| 5 | 2020 | 21 | |
| 6 | 2019 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 |
About Daniel C. Bittel
Daniel C. Bittel is a scholar working on Physiology, Molecular Biology, Cell Biology, Biomedical Engineering and Surgery, having authored 19 papers that have together received 294 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Muscle Physiology and Disorders (5 papers), Muscle metabolism and nutrition (4 papers), Diet and metabolism studies (4 papers), Cellular transport and secretion (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Physiology (105 citations), Rehabilitation (23 citations), Endocrinology, Diabetes and Metabolism (47 citations), Cell Biology (40 citations) and Geriatrics and Gerontology (8 citations). Daniel C. Bittel has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jyoti K. Jaiswal, Adam J. Bittel, David R. Sinacore, W. Todd Cade, Lori J. Tuttle, Michael J. Mueller, Goutam Chandra, Paul K. Commean, Mary K. Hastings and Arun B. Deora. Their work appears in journals such as Diabetes, Advanced Science, iScience, Cell Metabolism and Advances in experimental medicine and biology.
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.