Patrick MacGoey

2k citations
14 papers · 1.3k · 3 hit papers · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Genetics top 5%
    • Genetic Associations and Epidemiology

Papers in

Patrick MacGoey

13 papers receiving 1.3k citations

Patrick MacGoey's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 125 citations
1250+1+3Years since publication200400600

Peers

Patrick MacGoey
Comparison fields: 5 of 78
  • Infectious Diseases 565
  • Genetics 518
  • Critical Care and Intensive Care Medicine 59
  • Geriatrics and Gerontology 36
  • Emergency Medicine 53
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Countries citing papers authored by Patrick MacGoey

Since Specialization
Citations

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

Fields of papers citing papers by Patrick MacGoey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Patrick MacGoey, 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 Patrick MacGoey Line = papers co-authored together Patrick MacGoey links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021656
2
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022233
3 2014133
4
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023125
5 202360
6 202042
7 202126
8 201420
9 202011
10
Tension pneumopericardium: case report.
20108
11 20248
12 20157
13 20167
14 20210

About Patrick MacGoey

Patrick MacGoey is a scholar working on Critical Care and Intensive Care Medicine, Genetics, Emergency Medicine, Infectious Diseases and Geriatrics and Gerontology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), COVID-19 Clinical Research Studies (2 papers), Trauma and Emergency Care Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Social Media in Health Education (1 paper), Trauma Management and Diagnosis (1 paper) and Abdominal Trauma and Injuries (1 paper). The work is most often cited by research in Infectious Diseases (565 citations), Genetics (518 citations), Critical Care and Intensive Care Medicine (59 citations), Geriatrics and Gerontology (36 citations) and Emergency Medicine (53 citations). Patrick MacGoey has collaborated with scholars based in United Kingdom, Sweden and Italy. Frequent co-authors include Adam J. Brooks, Christopher M. Lamb, Alex Navarro, I C Cameron, Ian J. Beckingham and Elias Degiannis. Their work appears in journals such as Nature, Annals of The Royal College of Surgeons of England, Human Genetics and Genomics Advances, British journal of surgery and Human Genetics.

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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