M O’Meara

503 citations
11 papers · 373 · h-index 6

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 1
    • Genetics, Aging, and Longevity in Model Organisms 5

M O’Meara

11 papers receiving 372 citations

Peers

M O’Meara
Comparison fields: 5 of 56
  • Aging 156
  • Endocrine and Autonomic Systems 31
  • Molecular Biology 260
  • Genetics 70
  • Cancer Research 26
Replace Iskra Katic with:
Iskra Katic Switzerland
James Matthew Ragle United States
Thomas M. Brodigan United States
Denise V. Clark Canada
Aharon Solomon United States
Selma Waaijers Netherlands
Brandon D. Fields United States
Vincent Portegijs Netherlands
Emily L. Petty United States
Jonathan Liu United States
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Citations per field
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Citations per year

Countries citing papers authored by M O’Meara

Since Specialization
Citations

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

Fields of papers citing papers by M O’Meara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2008186
2 201263
3 200754
4 200927
5 201023
6 201110
7
Molecular epidemiologic investigation of tuberculosis in an area of increasing incidence in inner-city Dublin.
20064
8 20182
9
Seasonal influenza vaccine uptake in HSE-funded hospitals and nursing homes during the 2011/2012 influenza season.
20142
10 20131
11
Contact tracing of tuberculosis in a school setting and the relevance of BCG in this population.
20051

About M O’Meara

M O’Meara is a scholar working on Molecular Biology, Aging, Infectious Diseases, Epidemiology and Surgery, having authored 11 papers that have together received 373 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Tuberculosis Research and Epidemiology (3 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Animal Genetics and Reproduction (1 paper), Hepatitis B Virus Studies (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Aging (156 citations), Endocrine and Autonomic Systems (31 citations), Molecular Biology (260 citations), Genetics (70 citations) and Cancer Research (26 citations). M O’Meara has collaborated with scholars based in United States, Ireland and France. Frequent co-authors include Oliver Hobert, Sumeet Sarin, Snehit Prabhu, Itsik Pe’er, Jeffrey A. Simon, Feifan Zhang, Robert J. Johnston, Richard J. Poole, Donald G. Moerman and Stéphane Flibotte. Their work appears in journals such as Genetics, Nature Methods, Epidemiology and Infection, Value in Health and Chromosoma.

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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