Mark D. Wheeler

953 total citations
25 papers, 507 citations indexed

About

Mark D. Wheeler is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Reproductive Medicine. According to data from OpenAlex, Mark D. Wheeler has authored 25 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Reproductive Medicine. Recurrent topics in Mark D. Wheeler's work include Growth Hormone and Insulin-like Growth Factors (7 papers), Ovarian function and disorders (5 papers) and Diabetes Management and Research (5 papers). Mark D. Wheeler is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Ovarian function and disorders (5 papers) and Diabetes Management and Research (5 papers). Mark D. Wheeler collaborates with scholars based in United States, Denmark and Israel. Mark D. Wheeler's 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 and has published in prestigious journals such as Annals of Internal Medicine, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mark D. Wheeler

23 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark D. Wheeler United States 12 219 88 85 75 73 25 507
D. Bosson Belgium 11 233 1.1× 59 0.7× 50 0.6× 27 0.4× 97 1.3× 27 514
Mauro Abi Haidar Brazil 17 308 1.4× 262 3.0× 46 0.5× 159 2.1× 71 1.0× 40 781
Denise G. von Mühlen United States 10 510 2.3× 129 1.5× 32 0.4× 134 1.8× 147 2.0× 11 848
S. Sherman United States 6 420 1.9× 222 2.5× 34 0.4× 142 1.9× 91 1.2× 9 906
Tonghua Zang China 10 159 0.7× 54 0.6× 10 0.1× 60 0.8× 66 0.9× 12 523
Susan M. Wishart Australia 8 340 1.6× 60 0.7× 32 0.4× 255 3.4× 135 1.8× 8 633
Hana Zamrazilová Czechia 15 110 0.5× 108 1.2× 20 0.2× 24 0.3× 79 1.1× 39 555
Jay Silverberg Canada 14 400 1.8× 83 0.9× 18 0.2× 21 0.3× 99 1.4× 29 855
L. Enk Sweden 11 147 0.7× 80 0.9× 16 0.2× 83 1.1× 41 0.6× 23 608
Matteo Baldi Italy 17 208 0.9× 130 1.5× 10 0.1× 177 2.4× 121 1.7× 27 717

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-authorship network of co-authors of Mark D. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Wheeler. A scholar is included among the top collaborators of Mark D. Wheeler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark D. Wheeler. Mark D. Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Perfect, Michelle M., et al.. (2022). Extending sleep to improve glycemia: The Family Routines Enhancing Adolescent Diabetes by Optimizing Management (FREADOM) randomized clinical trial protocol. Contemporary Clinical Trials. 124. 106929–106929. 5 indexed citations
2.
Wheeler, Mark D., et al.. (2019). Differences in sleep architecture according to body mass index in children with type 1 diabetes. Pediatric Diabetes. 21(1). 98–105. 6 indexed citations
3.
Hetherington‐Rauth, Megan, Jennifer W. Bea, Robert M. Blew, et al.. (2018). Effect of cardiometabolic risk factors on the relationship between adiposity and bone mass in girls. International Journal of Obesity. 42(6). 1185–1194. 5 indexed citations
4.
Wheeler, Mark D., et al.. (2018). A 26-week, randomized trial of insulin detemir versus NPH insulin in children and adolescents with type 2 diabetes (iDEAt2). European Journal of Pediatrics. 177(10). 1497–1503. 5 indexed citations
5.
Hetherington‐Rauth, Megan, Jennifer W. Bea, Robert M. Blew, et al.. (2018). Relative contributions of lean and fat mass to bone strength in young Hispanic and non-Hispanic girls. Bone. 113. 144–150. 19 indexed citations
6.
Perfect, Michelle M., et al.. (2011). Sleep, Glucose, and Daytime Functioning in Youth with Type 1 Diabetes. SLEEP. 35(1). 81–88. 99 indexed citations
7.
Arteel, Gavin E., et al.. (2002). Green Tea Extract Protects against Early Alcohol-Induced Liver Injury in Rats. Biological Chemistry. 383(3-4). 663–670. 60 indexed citations
8.
Wheeler, Mark D., et al.. (2002). Hand action perception for robot programming. 3. 1586–1593.
9.
Wheeler, Mark D., et al.. (1999). Hand Action Perception and Robot Instruction. 2 indexed citations
10.
Golub, Mari S., Dennis M. Styne, Mark D. Wheeler, et al.. (1997). Growth retardation in premenarchial female rhesus monkeys during chronic administration of a GnRH agonist (leuprolide acetate). Journal of Medical Primatology. 26(5). 248–256. 5 indexed citations
11.
Wheeler, Mark D., et al.. (1994). Breast-feeding in the management of the newborn with phenylketonuria: A practical approach to dietary therapy. Journal of the American Dietetic Association. 94(3). 305–309. 21 indexed citations
12.
Wheeler, Mark D.. (1994). Update on therapy for precocious puberty.. PubMed. 20(6). 351–5. 2 indexed citations
13.
Wheeler, Mark D., et al.. (1991). Growth Hormone Regulation by Growth Hormone-Releasing Hormone in Infant Rhesus Monkeys. Neonatology. 60(1). 19–28. 5 indexed citations
14.
Wheeler, Mark D. & Dennis M. Styne. (1991). Drug Treatment in Precocious Puberty. Drugs. 41(5). 717–728. 16 indexed citations
15.
Wheeler, Mark D.. (1991). Physical Changes of Puberty. Endocrinology and Metabolism Clinics of North America. 20(1). 1–14. 124 indexed citations
16.
Wheeler, Mark D. & Dennis M. Styne. (1990). Diagnosis and Management of Precocious Puberty. Pediatric Clinics of North America. 37(6). 1255–1271. 23 indexed citations
17.
Wheeler, Mark D., et al.. (1990). Changes in Basal and Stimulated Growth Hormone Secretion in the Aging Rhesus Monkey: A Comparison of Chair Restraint and Tether and Vest Sampling*. The Journal of Clinical Endocrinology & Metabolism. 71(6). 1501–1507. 12 indexed citations
18.
Wheeler, Mark D., et al.. (1990). Longitudinal Changes in Growth Hormone Response to Growth Hormone-Releasing Hormone in Neonatal Rhesus Monkeys. Pediatric Research. 28(1). 15–16. 3 indexed citations
19.
Wheeler, Mark D. & Dennis M. Styne. (1988). The Nonhuman Primate as a Model of Growth Hormone Physiology in the Human Being*. Endocrine Reviews. 9(2). 213–246. 18 indexed citations
20.
Wheeler, Mark D.. (1969). Medical manpower in Kenya: a projection and some of its implications.. PubMed. 46(2). 93–101. 1 indexed citations

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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