Richard A. Oram

12.9k citations
103 papers · 4.6k indexed · 6 hit papers · h-index 33

Richard A. Oram

100 papers receiving 4.6k citations

Hit Papers

Global ...2520172026202020232505007501000

Peers

Richard A. Oram
Comparison fields: 5 of 135
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Genetics 3.0k
  • Surgery 2.7k
  • Health Information Management 69
  • Immunology 284
Replace Michael J. Haller with:
Michael J. Haller United States
Henry Rodriguez United States
Andrea K. Steck United States
Stefano Genovese Italy
Olga Kordonouri Germany
Andrew Ahmann United States
Jae Hyeon Kim South Korea
Viral N. Shah United States
Aaron W. Michels United States
Yasuko Uchigata Japan
Richard A. Oram relative to Michael J. Haller United States Michael J. Haller's profile →
Citations per field
00.5×2.9×
Michael J. Haller · 1×
Citations per year

Countries citing papers authored by Richard A. Oram

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Oram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard A. Oram. 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 Richard A. Oram. The network helps show where Richard A. Oram may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3
Global type 1 diabetes prevalence, incidence, and mortality estimates 2025: Results from the International diabetes Federation Atlas, 11th Edition, and the T1D Index Version 3.0breakdown →
202525
4 20251
5 20250
6 20251
7 20246
8 20241
9 20241
10 20245
11 20242
12 20240
13 202314
14 202332
15
ISPAD Clinical Practice Consensus Guidelines 2022: Definition, epidemiology, and classification of diabetes in children and adolescentsbreakdown →
2022124
16 20215
17 202014
18 201838
19 201875
20 201232

About Richard A. Oram

Richard A. Oram is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 103 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (79 papers), Diabetes and associated disorders (78 papers), Diabetes Management and Research (68 papers), Diabetes Treatment and Management (7 papers), Genetic Associations and Epidemiology (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Sexual function and dysfunction studies (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Genetics (3.0k citations) and Surgery (2.7k citations). Richard A. Oram has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Carmella Evans‐Molina, Linda A. DiMeglio, Andrew T. Hattersley, Beverley M. Shields, Michael N. Weedon, Timothy J. McDonald, Angus G. Jones, Emily K. Sims, Samuel E. Jones and Nicholas J. Thomas. Their work appears in journals such as Science, The Lancet and Nature 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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