Gladys Strain

87 papers receiving 4.8k citations

Peers

Gladys Strain
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Pharmacy 244
  • Reproductive Medicine 440
  • Behavioral Neuroscience 179
  • Physiology 1.1k
Replace Erin S. LeBlanc with:
Erin S. LeBlanc United States
Jonathan Pinkney United Kingdom
Blandine Laferrère United States
Valentina Vicennati Italy
Mauno Vanhala Finland
Bartolomé Burguera United States
M Rebuffé-Scrive Sweden
Nancy G. Sebring United States
B Guy-Grand France
Cecilia Invitti Italy
Gladys Strain relative to Erin S. LeBlanc United States Erin S. LeBlanc's profile →
Citations per field
00.5×2.8×
Erin S. LeBlanc · 1×
Citations per year

Countries citing papers authored by Gladys Strain

Since Specialization
Citations

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

Fields of papers citing papers by Gladys Strain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gladys Strain. 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 Gladys Strain. The network helps show where Gladys Strain may publish in the future.

Co-authors

The 25 scholars most cited alongside Gladys Strain, 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 Gladys Strain Line = papers co-authored together Gladys Strain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002320
2 1995296
3 1990268
4 2012202
5 1980163
6 2014162
7 2010147
8 2013137
9 1982132
10 1980127
11 1982120
12
Abnormal 24-hr mean plasma concentrations of dehydroisoandrosterone and dehydroisoandrosterone sulfate in women with primary operable breast cancer.
1981117
13 201398
14 198298
15 201296
16 200896
17 198396
18 200392
19 200887
20 198886

About Gladys Strain

Gladys Strain is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Physiology, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 88 papers that have together received 5.0k indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (33 papers), Hormonal and reproductive studies (18 papers), Diet and metabolism studies (9 papers), Muscle metabolism and nutrition (6 papers), Pharmacological Effects and Assays (6 papers), Stress Responses and Cortisol (6 papers), Body Composition Measurement Techniques (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Pharmacy (244 citations), Reproductive Medicine (440 citations), Behavioral Neuroscience (179 citations) and Physiology (1.1k citations). Gladys Strain has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Barnett Zumoff, Joseph Levin, James E. Mitchell, David K. Fukushima, Michael J. Devlin, Robert Rosenfeld, William Rosner, Ross D. Crosby, Alfons Pomp and John Gunstad. Their work appears in journals such as Surgery for Obesity and Related Diseases, The Journal of Clinical Endocrinology & Metabolism, Obesity, Obesity Surgery and Metabolism.

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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