Michelle O’Neill

2.0k citations
50 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Michelle O’Neill

46 papers receiving 1.3k citations

Michelle O’Neill's Hit Papers

SARS-CoV-2 detection, viral load and infectivity over the course of an infection 2020 · 480 citations
4800+2+4Years since publication100200300400

Peers

Michelle O’Neill
Comparison fields: 5 of 121
  • Infectious Diseases 593
  • Modeling and Simulation 139
  • General Dentistry 20
  • Obstetrics and Gynecology 54
  • Emergency Medicine 51
Replace Leiwen Fu with:
Leiwen Fu China
Charlotte Martin Belgium
Diana Buitrago‐García Switzerland
Ana Freitas Ribeiro Brazil
Yuewei Zhan China
Rachael Zacks United States
Anping Feng China
Meaghan S. Fagalde United States
Hammad Ali United States
Giovanni Carretta Italy
Michelle O’Neill relative to Leiwen Fu China Leiwen Fu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michelle O’Neill

Since Specialization
Citations

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

Fields of papers citing papers by Michelle O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 detection, viral load and infectivity over the course of an infection
Hit paper breakdown →
2020480
2 2020103
3 201394
4 202070
5 202159
6 202054
7 201550
8 201349
9 199833
10 202233
11 202123
12 201722
13 201421
14 201920
15 202119
16 202018
17 202215
18 202215
19 202214
20 202012

About Michelle O’Neill

Michelle O’Neill is a scholar working on Statistics, Probability and Uncertainty, Infectious Diseases, Modeling and Simulation, Health and Hepatology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Clinical practice guidelines implementation (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Meta-analysis and systematic reviews (6 papers), COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (5 papers), Influenza Virus Research Studies (5 papers), COVID-19 Clinical Research Studies (4 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Infectious Diseases (593 citations), Modeling and Simulation (139 citations), General Dentistry (20 citations), Obstetrics and Gynecology (54 citations) and Emergency Medicine (51 citations). Michelle O’Neill has collaborated with scholars based in Ireland, United Kingdom and Sweden. Frequent co-authors include Máirín Ryan, Patricia Harrington, Susan M. Smith, Kieran Anthony Walsh, Paul G. Carty, Conor Teljeur, Paula J. Byrne, Barbara Clyne, Kirsty K O’Brien and Karen Jordan. Their work appears in journals such as Reviews in Medical Virology, International Journal of Technology Assessment in Health Care, Journal of Clinical Epidemiology, Journal of Infection and Value in Health.

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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