Mark G. O’Doherty

4.3k citations
23 papers · 1.5k indexed · 1 hit paper · h-index 16

Mark G. O’Doherty

23 papers receiving 1.4k citations

Hit Papers

Effectiveness of the Pfizer-BioNTech and Oxford-AstraZene...7442021202620222024200400600

Peers

Mark G. O’Doherty
Comparison fields: 5 of 112
  • Modeling and Simulation 224
  • Health 378
  • Infectious Diseases 599
  • Gastroenterology 51
  • Cardiology and Cardiovascular Medicine 168
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Citations per field
00.5×10×15×20×23.5×
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Citations per year

Countries citing papers authored by Mark G. O’Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. O’Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20234
3
Effectiveness of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on covid-19 related symptoms, hospital admissions, and mortality in older adults in England: test negative case-control studybreakdown →
2021744
4 20215
5 20202
6 201718
7 201798
8 201743
9 201635
10 201677
11 201645
12 201415
13 201319
14 20131
15 20112
16 201163
17 2011105
18 201118
19 201013
20 198386

About Mark G. O’Doherty

Mark G. O’Doherty is a scholar working on Otorhinolaryngology, Modeling and Simulation, Gastroenterology, Health and Geriatrics and Gerontology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (4 papers), Cancer Risks and Factors (3 papers), Nutritional Studies and Diet (3 papers), Health disparities and outcomes (3 papers), Obesity, Physical Activity, Diet (3 papers), Esophageal and GI Pathology (3 papers), Nutrition and Health in Aging (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (224 citations), Health (378 citations), Infectious Diseases (599 citations), Gastroenterology (51 citations) and Cardiology and Cardiovascular Medicine (168 citations). Mark G. O’Doherty has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ruth Simmons, Simon Cottrell, Kevin Brown, Jamie Lopez Bernal, Julia Stowe, Jim McMenamin, Chris Robertson, Charlotte Gower, Mary Ramsay and Diane Stockton. Their work appears in journals such as European Journal of Epidemiology, Influenza and Other Respiratory Viruses, International Journal of Cancer, British Journal of Cancer 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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