Greg Maynard

1.1k citations
16 papers · 691 · h-index 12

Impact in

Papers in

Greg Maynard

16 papers receiving 652 citations

Peers

Greg Maynard
Comparison fields: 5 of 51
  • Internal Medicine 83
  • Endocrinology, Diabetes and Metabolism 319
  • Geriatrics and Gerontology 30
  • Cardiology and Cardiovascular Medicine 115
  • Emergency Medicine 35
Replace Judith S. Hurley with:
Judith S. Hurley United States
Peter Dodek Canada
Ferrán Cordón Spain
Jennifer Lloyd United States
Nicola Parenti Italy
Attilio Allione Italy
Jeffrey Pickard United States
Allan B. Peetz United States
Javier García Alegría Spain
Samira Moughrabi United States
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Citations per field
00.5×9.7×
Judith S. Hurley · 1×
Citations per year

Countries citing papers authored by Greg Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Greg Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013206
2 2009110
3 200985
4 200861
5 200851
6 201430
7 201424
8 201022
9 201418
10 200818
11 201317
12 200815
13 201411
14 201411
15 20066
16 20086

About Greg Maynard

Greg Maynard is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine, Epidemiology, Pediatrics, Perinatology and Child Health and Surgery, having authored 16 papers that have together received 691 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (11 papers), Diabetes Management and Research (7 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Sepsis Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Diagnosis and Treatment of Venous Diseases (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Internal Medicine (83 citations), Endocrinology, Diabetes and Metabolism (319 citations), Geriatrics and Gerontology (30 citations), Cardiology and Cardiovascular Medicine (115 citations) and Emergency Medicine (35 citations). Greg Maynard has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Jason Stein, Marian Renvall, Silvio E. Inzucchi, Tina Budnitz, Eric A. Coleman, Luke O. Hansen, Arpana R. Vidyarthi, Lakshmi Halasyamani, Eric Howell and Mark V. Williams. Their work appears in journals such as Journal of Hospital Medicine, Journal of Thrombosis and Thrombolysis, Journal of Diabetes Science and Technology, Clinics in Geriatric Medicine and Endocrine Practice.

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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