Greg O’Grady

2.6k citations
88 papers · 1.4k · 1 hit paper · h-index 23

Impact in

Papers in

    • Gastrointestinal motility and disorders 35
    • Gastroesophageal reflux and treatments 10
    • Helicobacter pylori-related gastroenterology studies 6
    • Enhanced Recovery After Surgery 5

Greg O’Grady

83 papers receiving 1.4k citations

Greg O’Grady's Hit Papers

Artificial intelligence in surgery 2024 · 110 citations
1100+1Years since publication255075100

Peers

Greg O’Grady
Comparison fields: 5 of 109
  • Gastroenterology 564
  • Health Informatics 39
  • Pharmacy 60
  • Surgery 442
  • Cardiology and Cardiovascular Medicine 127
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Citations per field
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Citations per year

Countries citing papers authored by Greg O’Grady

Since Specialization
Citations

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

Fields of papers citing papers by Greg O’Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2
Artificial intelligence in surgery
Hit paper breakdown →
2024110
3 202068
4 202262
5 202248
6 201947
7 201046
8 201044
9 202241
10 201640
11 202239
12 201036
13 202130
14 201829
15 202229
16 202227
17 202027
18 201625
19 202224
20 202024

About Greg O’Grady

Greg O’Grady is a scholar working on Gastroenterology, Surgery, Cardiology and Cardiovascular Medicine, Physiology and Oncology, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (35 papers), Gastroesophageal reflux and treatments (10 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Diet and metabolism studies (5 papers), Infant Health and Development (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Enhanced Recovery After Surgery (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Gastroenterology (564 citations), Health Informatics (39 citations), Pharmacy (60 citations), Surgery (442 citations) and Cardiology and Cardiovascular Medicine (127 citations). Greg O’Grady has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Peng Du, Ian Bissett, Chris Varghese, Armen A. Gharibans, Leo K. Cheng, Stefan Calder, Christopher N. Andrews, Ryash Vather, Phil G. Dinning and Celia Keane. Their work appears in journals such as Neurogastroenterology & Motility, Colorectal Disease, ANZ Journal of Surgery, Annals of Biomedical Engineering and BJS Open.

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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