Thad C. Hagen
- Endocrinology, Diabetes and Metabolism top 2%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Physiology top 10%
- Co-authors
- Thomas L. GarthwaiteDonald R. MartinsonSteven GambertCarol H. PontzerMohammed A. ArnaoutLidia KirsteinsJoseph F. CusickA. M. Lawrence
- Topics
- Growth Hormone and Insulin-like Growth Factors (17 papers)Pituitary Gland Disorders and Treatments (14 papers)Neuropeptides and Animal Physiology (8 papers)
- Cited by
- Behavioral NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesCanada
In The Last Decade
Thad C. Hagen
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 523
- Cellular and Molecular Neuroscience 414
- Molecular Biology 276
- Endocrine and Autonomic Systems 263
- Physiology 230
Countries citing papers authored by Thad C. Hagen
This map shows the geographic impact of Thad C. Hagen'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 Thad C. Hagen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thad C. Hagen more than expected).
Fields of papers citing papers by Thad C. Hagen
This network shows the impact of papers produced by Thad C. Hagen. 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 Thad C. Hagen. The network helps show where Thad C. Hagen may publish in the future.
Co-authorship network of co-authors of Thad C. Hagen
This figure shows the co-authorship network connecting the top 25 collaborators of Thad C. Hagen. A scholar is included among the top collaborators of Thad C. Hagen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thad C. Hagen. Thad C. Hagen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 9 | |
| 7 | 24 | |
| 8 | 108 | |
| 9 | 48 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 75 | |
| 13 | 16 | |
| 14 | 97 | |
| 15 | 90 | |
| 16 | 50 | |
| 17 | 71 | |
| 18 | 6 | |
| 19 | 15 | |
| 20 | 39 |
About Thad C. Hagen
Thad C. Hagen is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (17 papers), Pituitary Gland Disorders and Treatments (14 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Behavioral Neuroscience (144 citations), Endocrine and Autonomic Systems (263 citations) and Endocrinology, Diabetes and Metabolism (523 citations). Thad C. Hagen has collaborated with scholars based in United States and Canada. Frequent co-authors include Thomas L. Garthwaite, Donald R. Martinson, Steven Gambert, Carol H. Pontzer, Mohammed A. Arnaout, Lidia Kirsteins, Joseph F. Cusick, A. M. Lawrence, Lawrence A. Menahan and Kamel Ajlouni. Their work appears in journals such as Science, New England Journal of Medicine and Gastroenterology.
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.