Steven O’Reilly

3.7k citations
78 papers · 2.8k · h-index 34

Impact in

Papers in

Steven O’Reilly

76 papers receiving 2.8k citations

Peers

Steven O’Reilly
Comparison fields: 5 of 107
  • Pathology and Forensic Medicine 1.1k
  • Dermatology 353
  • Immunology 695
  • Cancer Research 275
  • Rehabilitation 105
Replace Swati Bhattacharyya with:
Swati Bhattacharyya United States
Joseph H. Korn United States
Astrid Jüngel Switzerland
Alfiya Distler Germany
Kazuhiro Komura Japan
Yasuji Mori United States
Yohei Iwata Japan
Kanako Kikuchi Japan
Francesco Del Galdo United Kingdom
Tamihiro Kawakami Japan
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Citations per field
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Citations per year

Countries citing papers authored by Steven O’Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Steven O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014202
2 2012178
3 2016140
4 2018139
5 2019120
6 201678
7 201477
8 201373
9 201269
10 201668
11 201462
12 202061
13 201357
14 201257
15 201256
16 201656
17 202155
18 201154
19 201751
20 201551

About Steven O’Reilly

Steven O’Reilly is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Dermatology, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (44 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers), IL-33, ST2, and ILC Pathways (8 papers), Dermatologic Treatments and Research (7 papers), Epigenetics and DNA Methylation (6 papers), Autoimmune Bullous Skin Diseases (5 papers), Skin and Cellular Biology Research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Dermatology (353 citations), Immunology (695 citations), Cancer Research (275 citations) and Rehabilitation (105 citations). Steven O’Reilly has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Jacob M. van Laar, Marzena Ciechomska, Rachel Cant, Thomas Hügle, John Henderson, Matthew Brown, Nicola Fullard, Richard Stratton, Stefan Przyborski and Julie C. Worrell. Their work appears in journals such as Lara D. Veeken, Annals of the Rheumatic Diseases, Clinical & Experimental Immunology, Trends in Molecular Medicine and Clinical Science.

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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