Todd Hager
Impact in
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- Diabetes Treatment and Management
- Molecular Biology top 10%
- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Metabolism, Diabetes, and Cancer
Papers in
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- Diabetes Treatment and Management 5
-
- Fibroblast Growth Factor Research 8
- Kruppel-like factors research 7
- Epigenetics and DNA Methylation 7
- Receptor Mechanisms and Signaling 3
- Co-authors
- Murielle M. Véniant (8 shared papers)Jing Xu (5 shared papers)Shanaka Stanislaus (7 shared papers)Randy I. Hecht (4 shared papers)Yang Li (3 shared papers)Narumol Chinookoswong (2 shared papers)Richard A. Lindberg (2 shared papers)Hongfei Ge (2 shared papers)
- Journals
- Endocrinology (3 papers)Science Translational Medicine (2 papers)Journal of Medicinal Chemistry (2 papers)Bioanalysis (1 paper)Nature Metabolism (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Todd Hager
17 papers receiving 1.8k citations
Todd Hager's Hit Papers
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 428
- Molecular Biology 1.3k
- Endocrine and Autonomic Systems 116
- Physiology 215
- Pharmacology 138
Countries citing papers authored by Todd Hager
This map shows the geographic impact of Todd Hager'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 Todd Hager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Hager more than expected).
Fields of papers citing papers by Todd Hager
This network shows the impact of papers produced by Todd Hager. 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 Todd Hager. The network helps show where Todd Hager may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Hager, 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 | 2009 | 308 | |
| 2 | 2018 | 198 | |
| 3 | 2012 | 192 | |
| 4 | 2009 | 160 | |
| 5 | 2011 | 157 | |
| 6 | 2012 | 151 | |
| 7 | A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settings Hit paper breakdown → | 2024 | 143 |
| 8 | 2012 | 134 | |
| 9 | 2020 | 120 | |
| 10 | 2017 | 88 | |
| 11 | 2021 | 77 | |
| 12 | 2013 | 59 | |
| 13 | 2012 | 13 | |
| 14 | 1988 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2014 | 5 | |
| 17 | 2006 | 1 | |
| 18 | 2026 | 0 |
About Todd Hager
Todd Hager is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience, Orthopedics and Sports Medicine and Neurology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (8 papers), Kruppel-like factors research (7 papers), Epigenetics and DNA Methylation (7 papers), Diabetes Treatment and Management (5 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers), Pancreatic function and diabetes (2 papers) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (428 citations), Molecular Biology (1.3k citations), Endocrine and Autonomic Systems (116 citations), Physiology (215 citations) and Pharmacology (138 citations). Todd Hager has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Murielle M. Véniant, Jing Xu, Shanaka Stanislaus, Randy I. Hecht, Yang Li, Narumol Chinookoswong, Richard A. Lindberg, Hongfei Ge, Shu-Chen Lu and Yuesheng Li. Their work appears in journals such as Endocrinology, Science Translational Medicine, Journal of Medicinal Chemistry, Bioanalysis and Nature 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.