G. L. Searle

1.0k citations
33 papers · 875 indexed · h-index 19
Topics
Metabolism, Diabetes, and Cancer (10 papers)Metabolism and Genetic Disorders (5 papers)Pancreatic function and diabetes (5 papers)
Partner nations
United StatesFrance

In The Last Decade

G. L. Searle

33 papers receiving 752 citations

Peers

G. L. Searle
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 292
  • Molecular Biology 277
  • Physiology 261
  • Cardiology and Cardiovascular Medicine 137
  • Cell Biology 132
Replace Claudio De Boni with:
Claudio De Boni Italy
A. F. Willebrands Netherlands
Carlson La Sweden
A. C. Asmal South Africa
Huey G. McDaniel United States
A. Siegel United States
J Gloster United Kingdom
J A Scarlett United States
P. Damsbo Denmark
G. De Mattia Italy
G. L. Searle relative to Claudio De Boni Italy Claudio De Boni's profile →
Citations per field
00.5×1.5×
Claudio De Boni · 1×
Citations per year

Countries citing papers authored by G. L. Searle

Since Specialization
Citations

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

Fields of papers citing papers by G. L. Searle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. L. Searle. 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 G. L. Searle. The network helps show where G. L. Searle may publish in the future.

Co-authorship network of co-authors of G. L. Searle

This figure shows the co-authorship network connecting the top 25 collaborators of G. L. Searle. A scholar is included among the top collaborators of G. L. Searle 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 G. L. Searle. G. L. Searle 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 14
2 2
3 2
4 21
5 8
6 21
7 9
8 28
9 61
10 36
11
A simplified method for estimating free-thyroxine fraction in serum.
20
12 35
13 4
14 21
15 9
16
THE DIALYSIS OF I-131 TRIIODOTHYRONINE FROM PLASMA: AN IN VITRO TEST OF THYROID FUNCTION.
3
17 5
18 50
19 38
20 35

About G. L. Searle

G. L. Searle is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Physiology, having authored 33 papers that have together received 875 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Metabolism and Genetic Disorders (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (292 citations), Clinical Biochemistry (85 citations) and Physiology (261 citations). G. L. Searle has collaborated with scholars based in United States and France. Frequent co-authors include Ralph R. Cavalieri, I.L. Chaikoff, E.H. Strisower, Edward W. Gertz, J A Wisneski, James Bristow, Joseph T. Hanlon, Richard A. Neese, Martin H. Steinberg and Marvin D. Siperstein. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.

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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