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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- Fibroblast Growth Factor Research 6
- Kruppel-like factors research 5
- Epigenetics and DNA Methylation 5
- Receptor Mechanisms and Signaling 3
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Murielle M. Véniant (7 shared papers)Shanaka Stanislaus (6 shared papers)Jing Xu (5 shared papers)Randy Hecht (4 shared papers)Narumol Chinookoswong (2 shared papers)Yang Li (3 shared papers)Richard Lindberg (2 shared papers)Hongfei Ge (2 shared papers)
- Journals
- Endocrinology (3 papers)Alzheimer s & Dementia (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Analytical Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Todd Hager
14 papers receiving 1.1k citations
Todd Hager's Hit Papers
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 274
- Molecular Biology 898
- Endocrine and Autonomic Systems 76
- Pharmacology 104
- Physiology 150
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 | 289 | |
| 2 | 2009 | 151 | |
| 3 | 2011 | 150 | |
| 4 | 2012 | 124 | |
| 5 | 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 | 115 |
| 6 | 2020 | 110 | |
| 7 | 2017 | 81 | |
| 8 | 2021 | 71 | |
| 9 | 2013 | 51 | |
| 10 | 2012 | 11 | |
| 11 | 1988 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2006 | 1 |
About Todd Hager
Todd Hager is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (6 papers), Kruppel-like factors research (5 papers), Epigenetics and DNA Methylation (5 papers), Diabetes Treatment and Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers), Pancreatic function and diabetes (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (274 citations), Molecular Biology (898 citations), Endocrine and Autonomic Systems (76 citations), Pharmacology (104 citations) and Physiology (150 citations). Todd Hager has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Murielle M. Véniant, Shanaka Stanislaus, Jing Xu, Randy Hecht, Narumol Chinookoswong, Yang Li, Richard Lindberg, Hongfei Ge, Shu-Chen Lu and Yuesheng Li. Their work appears in journals such as Endocrinology, Alzheimer s & Dementia, American Journal of Physiology-Endocrinology and Metabolism, Analytical Chemistry and Nature Communications.
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.