G E Reardon

576 citations
16 papers · 442 indexed · h-index 8

G E Reardon

15 papers receiving 423 citations

Peers

G E Reardon
Comparison fields: 5 of 72
  • Behavioral Neuroscience 80
  • Endocrinology, Diabetes and Metabolism 252
  • Genetics 131
  • Rheumatology 57
  • Oral Surgery 25
Replace B.‐A. Lamberg with:
B.‐A. Lamberg Finland
Norman I. Gold United States
B. Wetzka Germany
Bonnie G. Landrum United States
R. B. Greenblatt United States
Neil J. Schroeder United Kingdom
Madeline Thornton United States
Kaori Koyama Japan
William I. Morse Canada
F. A. Hörster Germany
G E Reardon relative to B.‐A. Lamberg Finland B.‐A. Lamberg's profile →
Citations per field
00.5×10×16×
B.‐A. Lamberg · 1×
Citations per year

Countries citing papers authored by G E Reardon

Since Specialization
Citations

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

Fields of papers citing papers by G E Reardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside G E Reardon, 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 G E Reardon Line = papers co-authored together G E Reardon links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20080
2
An analysis of inpatient nursing communications needs.
20047
3 19943
4 199462
5 1993162
6 19916
7 199045
8
A glucocorticoid receptor mutation in a subject with primary cortisol resistance.
199012
9 19882
10
Graves' disease. Initial presentation with exophthalmos and solitary hot nodule.
19861
11
Analysis for cortisol in serum by liquid chromatography.
198226
12
A more specific, liquid-chromatographic method for free cortisol in urine.
198246
13 19812
14 19804
15 197940
16 197924

About G E Reardon

G E Reardon is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Family Practice, Geriatrics and Gerontology and Health Information Management, having authored 16 papers that have together received 442 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (9 papers), Hormonal Regulation and Hypertension (5 papers), Hormonal and reproductive studies (2 papers), Stress Responses and Cortisol (2 papers), Estrogen and related hormone effects (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Oral and Maxillofacial Pathology (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Behavioral Neuroscience (80 citations), Endocrinology, Diabetes and Metabolism (252 citations), Genetics (131 citations), Rheumatology (57 citations) and Oral Surgery (25 citations). G E Reardon has collaborated with scholars based in United States. Frequent co-authors include Ernesto Canalis, Adele Caldarella, Carl D. Malchoff, Diana M. Malchoff, Javier Escaned, David W. Rowe, Adam Brufsky, P. N. McDermott, C.‐H. Bergh and Alan D. Rogol. Their work appears in journals such as Clinical Chemistry, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Investigation, The Diabetes Educator and The Endocrinologist.

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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