T Wexler

917 citations
23 papers · 718 · h-index 10

Impact in

Papers in

T Wexler

20 papers receiving 705 citations

Peers

T Wexler
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 248
  • Sensory Systems 48
  • Endocrine and Autonomic Systems 64
  • Behavioral Neuroscience 31
  • Cellular and Molecular Neuroscience 158
Replace David L. Keefe with:
David L. Keefe United States
Tiziana Pagano Italy
Jun Sung Koh South Korea
Gunilla Brodda‐Jansen Sweden
Patsy Coskeran United Kingdom
M.A. Blank United Kingdom
D.M. Gibbs United States
Brian W. Somerville Australia
Lydia E. Kuo United States
M. Criscuolo Italy
T Wexler relative to David L. Keefe United States David L. Keefe's profile →
Citations per field
00.5×1.5×2.3×
David L. Keefe · 1×
Citations per year

Countries citing papers authored by T Wexler

Since Specialization
Citations

This map shows the geographic impact of T Wexler'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 T Wexler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Wexler more than expected).

Fields of papers citing papers by T Wexler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997182
2 2009119
3 200796
4 200062
5 201053
6 200951
7 200746
8 201231
9 201013
10 20229
11 20239
12 20099
13 20238
14 20238
15 20236
16 20235
17 20084
18 20154
19 20241
20 20071

About T Wexler

T Wexler is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Psychology, Surgery, Psychiatry and Mental health and Molecular Biology, having authored 23 papers that have together received 718 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Pituitary Gland Disorders and Treatments (6 papers), Eating Disorders and Behaviors (5 papers), Sexuality, Behavior, and Technology (2 papers), Hypothalamic control of reproductive hormones (2 papers), Sexual function and dysfunction studies (2 papers), Ophthalmology and Eye Disorders (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (248 citations), Sensory Systems (48 citations), Endocrine and Autonomic Systems (64 citations), Behavioral Neuroscience (31 citations) and Cellular and Molecular Neuroscience (158 citations). T Wexler has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Karen K. Miller, Steven S. Scherer, Suzanne M. Deschênes, Kenneth H. Fischbeck, Anne Klibanski, David B. Herzog, Madhusmita Misra, Erinne Meenaghan, Elizabeth A. Lawson and Michael J. Renzi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Growth Hormone & IGF Research, The Journal of Sexual Medicine, Endocrinology and Journal of Neuroscience.

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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