Shane O’Donnell

680 citations
35 papers · 387 · h-index 11

Impact in

Papers in

Shane O’Donnell

32 papers receiving 360 citations

Peers

Shane O’Donnell
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 165
  • General Health Professions 52
  • Pharmacy 9
  • Genetics 55
  • Surgery 61
Replace Tiago Jeronimo Dos Santos with:
Tiago Jeronimo Dos Santos Brazil
Katty Castillo Germany
Yu-Li Lee Taiwan
Arun Mohan United States
Kenneth S. Fink United States
Debraj Das India
Mônica Nunes Lima Cat Brazil
Naunihal Virdi United States
Yandong Qiang United States
Anggi Lukman Wicaksana Indonesia
Shane O’Donnell relative to Tiago Jeronimo Dos Santos Brazil Tiago Jeronimo Dos Santos's profile →
Citations per field
00.5×1.5×2.3×
Tiago Jeronimo Dos Santos · 1×
Citations per year

Countries citing papers authored by Shane O’Donnell

Since Specialization
Citations

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

Fields of papers citing papers by Shane O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shane O’Donnell, 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 Shane O’Donnell Line = papers co-authored together Shane O’Donnell 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 201972
2 202144
3 198941
4 201933
5 202026
6 202121
7 202216
8 202112
9 202011
10 201911
11 202210
12 20209
13 20229
14 20229
15 20197
16 20156
17 20225
18 20235
19 20225
20 20235

About Shane O’Donnell

Shane O’Donnell is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Clinical Psychology, Public Health, Environmental and Occupational Health and Pharmacy, having authored 35 papers that have together received 387 indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Mobile Health and mHealth Applications (5 papers), Diabetes Management and Education (3 papers), Obesity and Health Practices (3 papers), Obesity, Physical Activity, Diet (2 papers), Health disparities and outcomes (2 papers), Historical Studies on Reproduction, Gender, Health, and Societal Changes (1 paper) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (165 citations), General Health Professions (52 citations), Pharmacy (9 citations), Genetics (55 citations) and Surgery (61 citations). Shane O’Donnell has collaborated with scholars based in Ireland, Germany and Denmark. Frequent co-authors include Katarina Braune, Bryan Cleal, Vladimir Rokhlin, Klemens Raile, Ingrid Willaing, Timothy Skinner, Gerardine Doyle, Katarzyna Anna Gajewska, Axel Thieffry and Grace O’Malley. Their work appears in journals such as Journal of Medical Internet Research, JMIR mhealth and uhealth, Diabetes Research and Clinical Practice, Sociology of Health & Illness and BMJ 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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