Steven McFarlane

1.3k citations
21 papers · 966 · h-index 15

Impact in

Papers in

Steven McFarlane

20 papers receiving 939 citations

Peers

Steven McFarlane
Comparison fields: 5 of 91
  • Parasitology 92
  • Immunology 284
  • Epidemiology 432
  • Virology 49
  • Infectious Diseases 183
Replace ALEC JAMES REDWOOD with:
ALEC JAMES REDWOOD Australia
Young-Eui Kim South Korea
Juliet V. Spencer United States
Laura Hertel United States
Ghizlane Maarifi France
Christine A. King United States
Frida Arrey United States
Masatoshi Nakazawa Japan
Marieke C. Verweij Netherlands
Fatou Sisay-Joof Gambia
Steven McFarlane relative to ALEC JAMES REDWOOD Australia ALEC JAMES REDWOOD's profile →
Citations per field
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ALEC JAMES REDWOOD · 1×
Citations per year

Countries citing papers authored by Steven McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Steven McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011150
2 2021149
3 2008115
4 2011108
5 201874
6 201646
7 202344
8 201944
9 201634
10 200931
11 201131
12 202129
13 199727
14 199716
15 202015
16 201113
17 202412
18 199910
19 202110
20 20008

About Steven McFarlane

Steven McFarlane is a scholar working on Immunology, Parasitology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 21 papers that have together received 966 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), interferon and immune responses (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Toxoplasma gondii Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Ubiquitin and proteasome pathways (3 papers), COVID-19 Clinical Research Studies (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Parasitology (92 citations), Immunology (284 citations), Epidemiology (432 citations), Virology (49 citations) and Infectious Diseases (183 citations). Steven McFarlane has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Chris M. Preston, Roger D. Everett, Chris Boutell, Anne Orr, Vera Lukashchuk, Mary Jane Nicholl, Kristen L. Conn, Mandy Glaß, Emilia A. H. Vanni and Delphine Cuchet-Lourenço. Their work appears in journals such as PLoS Pathogens, Journal of Virology, PLoS Biology, mBio and Virus Research.

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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