Glen Wiesner

44 papers receiving 2.3k citations

Peers

Glen Wiesner
Comparison fields: 5 of 123
  • Endocrine and Autonomic Systems 376
  • Physiology 1.2k
  • Applied Psychology 164
  • Medical Laboratory Technology 47
  • Behavioral Neuroscience 97
Replace Alicia A. Thorp with:
Alicia A. Thorp Australia
Phillip B. Sparling United States
Erkki Kronholm Finland
Joseph M. Dzierzewski United States
Md Dilshad Manzar Saudi Arabia
Dimitris Dikeos Greece
François Trudeau Canada
Thomas Paparrigopoulos Greece
Juan R. Ordoñana Spain
Carol A. Landis United States
Glen Wiesner relative to Alicia A. Thorp Australia Alicia A. Thorp's profile →
Citations per field
00.5×5.7×
Alicia A. Thorp · 1×
Citations per year

Countries citing papers authored by Glen Wiesner

Since Specialization
Citations

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

Fields of papers citing papers by Glen Wiesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999288
2 2013269
3 2016178
4 2017168
5 2008162
6 2017158
7 1999117
8 2013114
9 2016105
10 201882
11 201877
12 201863
13 200454
14 200452
15 199948
16 200741
17 200539
18 202038
19 200437
20 201835

About Glen Wiesner

Glen Wiesner is a scholar working on Physiology, Public Health, Environmental and Occupational Health, General Health Professions, Endocrine and Autonomic Systems and Epidemiology, having authored 49 papers that have together received 2.4k indexed citations. Recurring topics across this work include Physical Activity and Health (16 papers), Obesity, Physical Activity, Diet (12 papers), Regulation of Appetite and Obesity (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Health and Medical Studies (6 papers), Adipose Tissue and Metabolism (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Workplace Health and Well-being (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (376 citations), Physiology (1.2k citations), Applied Psychology (164 citations), Medical Laboratory Technology (47 citations) and Behavioral Neuroscience (97 citations). Glen Wiesner has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Stuart Biddle, Enrique Garcíá Bengoechea, Murray Esler, David M. Kaye, Geneviève N. Healy, Anthony D. LaMontagne, Neville Owen, Elizabeth Eakin, Elisabeth Winkler and David W. Dunstan. Their work appears in journals such as Neuroendocrinology, Current Obesity Reports, American Journal of Preventive Medicine, Regulatory Peptides and The Journal of Clinical Endocrinology & 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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