Ben Donne

2.2k citations
23 papers · 1.3k · 3 hit papers · h-index 12

Impact in

Papers in

Ben Donne

22 papers receiving 1.3k citations

Ben Donne's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+3Years since publication200400600

Peers

Ben Donne
Comparison fields: 5 of 106
  • Infectious Diseases 481
  • Orthopedics and Sports Medicine 165
  • Immunology 247
  • Neurology 108
  • Genetics 180
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Citations per year

Countries citing papers authored by Ben Donne

Since Specialization
Citations

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

Fields of papers citing papers by Ben Donne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ben Donne, 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 Ben Donne Line = papers co-authored together Ben Donne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
3
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
4 199767
5 202356
6 199840
7 201338
8 199531
9
Physiological changes following a 12 week gym based stair-climbing, elliptical trainer and treadmill running program in females.
200423
10 200123
11 199519
12 201412
13 20129
14 20248
15 20027
16 19827
17 20016
18 19964
19
Bone density profiles and osteoporosis incidence in Irish females.
19964
20 20081

About Ben Donne

Ben Donne is a scholar working on Orthopedics and Sports Medicine, Infectious Diseases, Occupational Therapy, Immunology and Biomedical Engineering, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sports Performance and Training (5 papers), Shoulder Injury and Treatment (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Sports injuries and prevention (3 papers), interferon and immune responses (3 papers), Muscle activation and electromyography studies (2 papers) and Occupational Health and Performance (2 papers). The work is most often cited by research in Infectious Diseases (481 citations), Orthopedics and Sports Medicine (165 citations), Immunology (247 citations), Neurology (108 citations) and Genetics (180 citations). Ben Donne has collaborated with scholars based in Ireland, United Kingdom and Czechia. Frequent co-authors include Mikel Egaña, Moira O'Brien, Neil S. Fleming, Colm McCarthy, BRIAN A. BLANKSBY, Dimitris G. Mandalidis, ANASTASIOS P. SALIARIS, David J. Tuite, M.E. O'Regan and Per A.F.H. Renström. Their work appears in journals such as Nature, QJM, Scandinavian Journal of Medicine and Science in Sports, International Journal of Sports Medicine and Journal of Electromyography and Kinesiology.

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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