Mark D. Wheeler

953 citations
25 papers · 507 · h-index 12

Impact in

Papers in

Mark D. Wheeler

23 papers receiving 478 citations

Peers

Mark D. Wheeler
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 219
  • Reproductive Medicine 75
  • Experimental and Cognitive Psychology 85
  • Orthopedics and Sports Medicine 34
  • Clinical Biochemistry 23
Replace Jay Silverberg with:
Jay Silverberg Canada
L. Enk Sweden
S. Sherman United States
D. Bosson Belgium
Daniela Šupe‐Domić Croatia
Mauro Abi Haidar Brazil
Matteo Baldi Italy
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Youssef Kouidrat France
Shanna Bernstein United States
Mark D. Wheeler relative to Jay Silverberg Canada Jay Silverberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark D. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Wheeler. 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 Mark D. Wheeler. The network helps show where Mark D. Wheeler may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991124
2 201199
3 200260
4 201330
5 199023
6 199421
7 197120
8 201819
9 198818
10 197918
11 199116
12 199012
13 19918
14 20196
15 20185
16 19915
17 20185
18 20225
19 19975
20 19903

About Mark D. Wheeler

Mark D. Wheeler is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 25 papers that have together received 507 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Diabetes Management and Research (5 papers), Hypothalamic control of reproductive hormones (5 papers), Ovarian function and disorders (5 papers), Birth, Development, and Health (3 papers), Sleep and related disorders (3 papers), Metabolism and Genetic Disorders (2 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (219 citations), Reproductive Medicine (75 citations), Experimental and Cognitive Psychology (85 citations), Orthopedics and Sports Medicine (34 citations) and Clinical Biochemistry (23 citations). Mark D. Wheeler has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Dennis M. Styne, Michelle M. Perfect, Stuart F. Quan, Kurt Griffin, James L. Goodwin, Gavin E. Arteel, Stephen McKim, Ronald G. Thurman, L. Bevan and Melissa Spezia Faulkner. Their work appears in journals such as Endocrinology and Metabolism Clinics of North America, Journal of Medical Primatology, Annals of Internal Medicine, Pediatric Diabetes and Contemporary Clinical Trials.

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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