Doug O’Gorman

35 papers receiving 980 citations

Doug O’Gorman's Hit Papers

Pancreatic islet transplantation in type 1 diabetes: 20-year experience from a single-centre cohort in Canada 2022 · 112 citations
1120+1+2Years since publication255075100

Peers

Doug O’Gorman
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 396
  • Surgery 899
  • Transplantation 35
  • Genetics 336
  • Pharmacology 180
Replace I. Larsen with:
I. Larsen Canada
Jeffrey D. Ansite United States
Elsie Zahr United States
Yasutaka Fujita Japan
R V Rajotte Canada
Patrick Kugelmeier Switzerland
Monica Taneja United States
Adam L. Burrack United States
Josué Kunjom Mfopou Belgium
Jean Xu United States
Doug O’Gorman relative to I. Larsen Canada I. Larsen's profile →
Citations per field
00.5×3.5×
I. Larsen · 1×
Citations per year

Countries citing papers authored by Doug O’Gorman

Since Specialization
Citations

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

Fields of papers citing papers by Doug O’Gorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pancreatic islet transplantation in type 1 diabetes: 20-year experience from a single-centre cohort in Canada
Hit paper breakdown →
2022112
2 2008111
3 201593
4 200668
5 200566
6 200565
7 201763
8 201448
9 201044
10 201830
11 202326
12 201424
13 201323
14 201520
15 202220
16 200919
17 200818
18 202217
19 201116
20 201516

About Doug O’Gorman

Doug O’Gorman is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Pharmacology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (31 papers), Diabetes Management and Research (8 papers), Diabetes and associated disorders (3 papers), Pluripotent Stem Cells Research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cannabis and Cannabinoid Research (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (396 citations), Surgery (899 citations), Transplantation (35 citations), Genetics (336 citations) and Pharmacology (180 citations). Doug O’Gorman has collaborated with scholars based in Canada, Mexico and United States. Frequent co-authors include Tatsuya Kin, A. M. James Shapiro, Peter Senior, Sharleen Imes, Edmond A. Ryan, Rena Pawlick, A. M. James Shapiro, Abdul Salam, Patrick E. MacDonald and Braulio A. Marfil‐Garza. Their work appears in journals such as Transplantation, Transplant International, Nature Communications, Stem Cell Research & Therapy and The Lancet Diabetes & Endocrinology.

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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