Grenye O’Malley

1.4k citations
25 papers · 294 · h-index 9

Impact in

Papers in

Grenye O’Malley

23 papers receiving 288 citations

Peers

Grenye O’Malley
Comparison fields: 5 of 45
  • Endocrinology, Diabetes and Metabolism 176
  • Obstetrics and Gynecology 73
  • Genetics 83
  • Surgery 86
  • Infectious Diseases 17
Replace Kath Higgins with:
Kath Higgins United Kingdom
Carmen Mignogna Italy
Federica Ferrazzoli Italy
Urszula Mantaj Poland
Sujata Misra India
Michael Witsch Germany
Matthieu Pecquet France
Hongyuan Wang China
Nancy Cho United States
Avinash Boppana United States
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Citations per field
00.5×10×20×30×36.5×
Kath Higgins · 1×
Citations per year

Countries citing papers authored by Grenye O’Malley

Since Specialization
Citations

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

Fields of papers citing papers by Grenye O’Malley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grenye O’Malley. 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 Grenye O’Malley. The network helps show where Grenye O’Malley may publish in the future.

Co-authors

The 25 scholars most cited alongside Grenye O’Malley, 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 Grenye O’Malley Line = papers co-authored together Grenye O’Malley 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 202050
2 202037
3 202330
4 202127
5 202124
6 201720
7 202319
8 201819
9 202218
10 20248
11 20248
12 20217
13 20205
14 20225
15 20224
16 20224
17 20192
18 20252
19 20181
20 20241

About Grenye O’Malley

Grenye O’Malley is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Surgery, Genetics and General Health Professions, having authored 25 papers that have together received 294 indexed citations. Recurring topics across this work include Diabetes Management and Research (16 papers), Gestational Diabetes Research and Management (9 papers), Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Diabetes Treatment and Management (4 papers), Mobile Health and mHealth Applications (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (176 citations), Obstetrics and Gynecology (73 citations), Genetics (83 citations), Surgery (86 citations) and Infectious Diseases (17 citations). Grenye O’Malley has collaborated with scholars based in United States and Canada. Frequent co-authors include Carol J. Levy, Camilla Levister, Kristin Castorino, Sarit Polsky, Selassie Ogyaadu, Sarah Puhr, Kristen L. Nelson, Yogish C. Kudva, Corey Reid and Donna Desjardins. Their work appears in journals such as Diabetes, Diabetes Technology & Therapeutics, Endocrine Practice, Journal of Diabetes Science and Technology and Diabetes Care.

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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