Conor O’Brien

26 papers receiving 852 citations

Conor O’Brien's Hit Papers

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease 2024 · 65 citations
650+1+2Years since publication100200300

Peers

Conor O’Brien
Comparison fields: 5 of 75
  • Neurology 431
  • Critical Care and Intensive Care Medicine 76
  • Infectious Diseases 185
  • Rheumatology 122
  • Obstetrics and Gynecology 45
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Countries citing papers authored by Conor O’Brien

Since Specialization
Citations

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

Fields of papers citing papers by Conor O’Brien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study
Hit paper breakdown →
2022307
2 2022105
3 202286
4 200280
5
Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Hit paper breakdown →
202465
6 200345
7 200126
8 200824
9 202322
10 202317
11 202316
12 202416
13 201012
14 202311
15 201010
16 202310
17 20049
18 20238
19 20174
20 20043

About Conor O’Brien

Conor O’Brien is a scholar working on Rheumatology, Neurology, Critical Care and Intensive Care Medicine, Neurology and Surgery, having authored 28 papers that have together received 884 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (7 papers), Long-Term Effects of COVID-19 (7 papers), COVID-19 Clinical Research Studies (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Peripheral Nerve Disorders (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Anorectal Disease Treatments and Outcomes (2 papers). The work is most often cited by research in Neurology (431 citations), Critical Care and Intensive Care Medicine (76 citations), Infectious Diseases (185 citations), Rheumatology (122 citations) and Obstetrics and Gynecology (45 citations). Conor O’Brien has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Colm O’Herlihy, P. R. O’Connell, Myra Fitzpatrick, Anthony M. Jevnikar, Patrick P W Luke, ROBERT Z. ZHONG, James F. Jones, Maeve Eogan, C Peirce and Leslie Daly. Their work appears in journals such as American Journal of Obstetrics and Gynecology, The Lancet Respiratory Medicine, International Journal of Gynecology & Obstetrics, Open Forum Infectious Diseases and Digital 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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