Frank H. Tyler

6.3k citations
118 papers · 4.5k indexed · h-index 40
Topics
Adrenal Hormones and Disorders (33 papers)Hormonal and reproductive studies (21 papers)Hormonal Regulation and Hypertension (16 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Frank H. Tyler

116 papers receiving 3.6k citations

Peers

Frank H. Tyler
Comparison fields: 5 of 150
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Molecular Biology 908
  • Physiology 617
  • Behavioral Neuroscience 462
  • Surgery 437
Replace Peter H. Forsham with:
Peter H. Forsham United States
KAORU YOSHINAGA Japan
Grant W. Liddle United States
Charles A. Nugent United States
A. Avinoam Kowarski United States
Bernard Kliman United States
P. W. C. Kloppenborg Netherlands
Y Kumahara Japan
Mortimer B. Lipsett United States
Eric A. Espiner New Zealand
Frank H. Tyler relative to Peter H. Forsham United States Peter H. Forsham's profile →
Citations per field
00.5×1.5×
Peter H. Forsham · 1×
Citations per year

Countries citing papers authored by Frank H. Tyler

Since Specialization
Citations

This map shows the geographic impact of Frank H. Tyler'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 Frank H. Tyler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank H. Tyler more than expected).

Fields of papers citing papers by Frank H. Tyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank H. Tyler. 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 Frank H. Tyler. The network helps show where Frank H. Tyler may publish in the future.

Co-authorship network of co-authors of Frank H. Tyler

This figure shows the co-authorship network connecting the top 25 collaborators of Frank H. Tyler. A scholar is included among the top collaborators of Frank H. Tyler 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 Frank H. Tyler. Frank H. Tyler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 42
2
Characteristics and challenges of the health sector response in Lebanon
3
3 11
4 28
5 232
6 27
7
A new phenomenon of usefulness in the radioimmunoassay of plasma adrenocorticotropic hormone.
50
8 2
9 2
10 46
11 29
12 58
13 24
14 26
15 20
16 150
17 15
18 10
19 38
20 24

About Frank H. Tyler

Frank H. Tyler is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Clinical Biochemistry, having authored 118 papers that have together received 4.5k indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (33 papers), Hormonal and reproductive studies (21 papers) and Hormonal Regulation and Hypertension (16 papers). The work is most often cited by research in Behavioral Neuroscience (462 citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Clinical Biochemistry (256 citations). Frank H. Tyler has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include A.W. Meikle, Charles A. Nugent, Leo T. Samuels, Charles D. West, Gerald T. Perkoff, Kristen B. Eik‐Nes, Avery A. Sandberg, William Jubiz, Don H. Nelson and Thomas E. Nichols. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.

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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