Danielle Groat

538 citations
32 papers · 322 · h-index 11

Impact in

Papers in

Danielle Groat

27 papers receiving 311 citations

Peers

Danielle Groat
Comparison fields: 5 of 69
  • Internal Medicine 33
  • Endocrinology, Diabetes and Metabolism 91
  • Critical Care and Intensive Care Medicine 23
  • Rheumatology 49
  • Hematology 33
Replace Francesco Del Sole with:
Francesco Del Sole Italy
Stefano Cornara Italy
Nabil A. Al-Zoubi Jordan
Ekrem Güler Türkiye
Marcella Pisano Italy
Neelkumar Patel United States
Noël Lorenzo-Villalba France
Namrata Singhania United States
Andrea Di Lenarda Italy
Alfons Aguirre Spain
Danielle Groat relative to Francesco Del Sole Italy Francesco Del Sole's profile →
Citations per field
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Francesco Del Sole · 1×
Citations per year

Countries citing papers authored by Danielle Groat

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Groat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202196
2 201930
3 202027
4 202021
5 201916
6 202015
7 201813
8 201612
9 202110
10 201610
11
Using Process Mining Techniques to Study Workflows in a Pre-operative Setting.
201710
12 20159
13 20208
14 20238
15 20177
16 20227
17 20186
18 20243
19 20232
20 20172

About Danielle Groat

Danielle Groat is a scholar working on Endocrinology, Diabetes and Metabolism, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, General Health Professions and Epidemiology, having authored 32 papers that have together received 322 indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes Management and Education (3 papers), Sepsis Diagnosis and Treatment (3 papers), Respiratory Support and Mechanisms (2 papers), Diabetes Treatment and Management (2 papers), Emergency and Acute Care Studies (2 papers), Nosocomial Infections in ICU (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Internal Medicine (33 citations), Endocrinology, Diabetes and Metabolism (91 citations), Critical Care and Intensive Care Medicine (23 citations), Rheumatology (49 citations) and Hematology (33 citations). Danielle Groat has collaborated with scholars based in United States, Slovenia and Israel. Frequent co-authors include Curtiss B. Cook, Adela Grando, Bithika Thompson, Emily L. Wilson, Valerie Aston, Tzu‐Fei Wang, Brent Armbruster, Scott M. Stevens, Matthew T. Rondina and C. Gregory Elliott. Their work appears in journals such as Journal of Diabetes Science and Technology, Applied Clinical Informatics, PLoS ONE, JAMA Network Open and Critical Care Medicine.

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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