Stephen McQuaid

147 papers receiving 11.7k citations

Stephen McQuaid's Hit Papers

QuPath: Open source software for digital pathology image analysis 2017 · 4.9k citations
4.9k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Stephen McQuaid
Comparison fields: 5 of 164
  • Neurology 999
  • Immunology 1.7k
  • Epidemiology 2.4k
  • Oncology 1.8k
  • Biophysics 403
Replace John F. Engelhardt with:
John F. Engelhardt United States
Bruce J. Aronow United States
Dieter E. Jenne Germany
Bette K. Kleinschmidt‐DeMasters United States
Norma Neff United States
Zichen Wang United States
Yifang Hu Australia
Sumit K. Chanda United States
Matthias Gunzer Germany
Stephen McQuaid relative to John F. Engelhardt United States John F. Engelhardt's profile →
Citations per field
00.5×3.2×
John F. Engelhardt · 1×
Citations per year

Countries citing papers authored by Stephen McQuaid

Since Specialization
Citations

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

Fields of papers citing papers by Stephen McQuaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
QuPath: Open source software for digital pathology image analysis
Hit paper breakdown →
20174912
2
Activation of STING-Dependent Innate Immune Signaling By S-Phase-Specific DNA Damage in Breast Cancer
Hit paper breakdown →
2016348
3 2010346
4 2003313
5 2007205
6 2010205
7 2002204
8 1999176
9 2011170
10 2001147
11 2013147
12 2012141
13 2016123
14 2005120
15 2008108
16 2007107
17 199797
18 198895
19 200295
20 201089

About Stephen McQuaid

Stephen McQuaid is a scholar working on Epidemiology, Molecular Biology, Oncology, Cancer Research and Infectious Diseases, having authored 150 papers that have together received 11.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (42 papers), Respiratory viral infections research (15 papers), Barrier Structure and Function Studies (10 papers), Virus-based gene therapy research (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Multiple Sclerosis Research Studies (8 papers), HER2/EGFR in Cancer Research (7 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Neurology (999 citations), Immunology (1.7k citations), Epidemiology (2.4k citations), Oncology (1.8k citations) and Biophysics (403 citations). Stephen McQuaid has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Manuel Salto‐Tellez, Jacqueline A. James, Maurice B. Loughrey, Darragh G. McArt, Peter W. Hamilton, Helen G. Coleman, Peter Bankhead, Philip D. Dunne, Ronan T. Gray and José A. Fernández. Their work appears in journals such as Journal of Virology, Oncotarget, Neuropathology and Applied Neurobiology, Acta Neuropathologica and Histopathology.

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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