Thad C. Hagen

1.7k citations
40 papers · 1.3k indexed · h-index 21

Thad C. Hagen

40 papers receiving 1.2k citations

Peers

Thad C. Hagen
Comparison fields: 5 of 90
  • Behavioral Neuroscience 144
  • Endocrine and Autonomic Systems 263
  • Endocrinology, Diabetes and Metabolism 523
  • Reproductive Medicine 193
  • Cellular and Molecular Neuroscience 414
Replace Thomas L. Garthwaite with:
Thomas L. Garthwaite United States
T Barreca Italy
S B Richardson United States
Yukio Miura Japan
Marta Barontini Argentina
Lana M. Gent United States
Angelo Margutti Italy
Beatriz R. Olson United States
A. R. Genazzani Italy
T. Prashant Nedungadi United States
Thad C. Hagen relative to Thomas L. Garthwaite United States Thomas L. Garthwaite's profile →
Citations per field
00.5×2.8×
Thomas L. Garthwaite · 1×
Citations per year

Countries citing papers authored by Thad C. Hagen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Thad C. Hagen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thad C. Hagen Line = papers co-authored together Thad C. Hagen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19952
2 19942
3 199420
4 19945
5 199114
6 19889
7 198724
8 1986108
9 198648
10 198427
11 19846
12 198175
13 198016
14 198097
15 198090
16 198050
17 197871
18 19766
19 197515
20 197239

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), Neuropeptides and Animal Physiology (8 papers), Regulation of Appetite and Obesity (6 papers), Hypothalamic control of reproductive hormones (5 papers), Diet and metabolism studies (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 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.

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