Tyler Field
Impact in
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- Diet, Metabolism, and Disease
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
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- Adipose Tissue and Metabolism 3
- Diet and metabolism studies 2
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- Liver Disease Diagnosis and Treatment 3
- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Marc K. Hellerstein (8 shared papers)Edna Nyangau (6 shared papers)Mahalakshmi Shankaran (7 shared papers)George G. Schweitzer (2 shared papers)Joseph W. Beals (2 shared papers)Gordon I. Smith (2 shared papers)Samuel Klein (2 shared papers)Mihoko Yoshino (1 shared paper)
- Journals
- The Journal of Physiology (2 papers)Journal of Lipid Research (1 paper)The Journals of Gerontology Series A (1 paper)Journal of Membrane Science (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Tyler Field
9 papers receiving 637 citations
Tyler Field's Hit Papers
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 299
- Epidemiology 469
- Biochemistry 62
- Hepatology 59
- Physiology 189
Countries citing papers authored by Tyler Field
This map shows the geographic impact of Tyler Field'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 Tyler Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Field more than expected).
Fields of papers citing papers by Tyler Field
This network shows the impact of papers produced by Tyler Field. 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 Tyler Field. The network helps show where Tyler Field may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Field, 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 | Insulin resistance drives hepatic de novo lipogenesis in nonalcoholic fatty liver disease Hit paper breakdown → | 2019 | 534 |
| 2 | 2021 | 37 | |
| 3 | 2017 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2018 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2024 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Tyler Field
Tyler Field is a scholar working on Physiology, Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 641 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (3 papers), Adipose Tissue and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Muscle Physiology and Disorders (3 papers), Muscle metabolism and nutrition (2 papers), Diet and metabolism studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (299 citations), Epidemiology (469 citations), Biochemistry (62 citations), Hepatology (59 citations) and Physiology (189 citations). Tyler Field has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Marc K. Hellerstein, Edna Nyangau, Mahalakshmi Shankaran, George G. Schweitzer, Joseph W. Beals, Gordon I. Smith, Samuel Klein, Mihoko Yoshino, Claude B. Sirlin and Saswata Talukdar. Their work appears in journals such as The Journal of Physiology, Journal of Lipid Research, The Journals of Gerontology Series A, Journal of Membrane Science and Journal of Clinical Investigation.
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.