Shona M. McFarlane

15 total papers · 781 total citations
12 papers, 695 citations indexed

About

Shona M. McFarlane is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Shona M. McFarlane has authored 12 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Shona M. McFarlane's work include Ion channel regulation and function (5 papers), NF-κB Signaling Pathways (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Shona M. McFarlane is often cited by papers focused on Ion channel regulation and function (5 papers), NF-κB Signaling Pathways (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Shona M. McFarlane collaborates with scholars based in United Kingdom, Belgium and Canada. Shona M. McFarlane's co-authors include E. Cooper, David J. MacEwan, Peter Vandenabeele, Roderick H. Scott, Michelle Connell, Uri Zehavi, Helen M. Anderson, Orla J. Jupp, Andrew J. Irving and Angela A. Coutts and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Biochemical Journal.

In The Last Decade

Shona M. McFarlane

12 papers receiving 692 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shona M. McFarlane 317 281 188 165 120 12 695
Joliet Bembry 226 0.7× 176 0.6× 112 0.6× 205 1.2× 60 0.5× 13 613
Amy J. Pace 467 1.5× 141 0.5× 89 0.5× 55 0.3× 75 0.6× 15 739
Marilena Campanella 209 0.7× 243 0.9× 140 0.7× 236 1.4× 183 1.5× 8 792
Livia Guadalupi 200 0.6× 112 0.4× 99 0.5× 69 0.4× 139 1.2× 21 781
Amreen Mughal 171 0.5× 161 0.6× 111 0.6× 145 0.9× 55 0.5× 20 628
Katherine A. Peebles 312 1.0× 127 0.5× 258 1.4× 102 0.6× 73 0.6× 14 738
Katsuhiro Shinjo 354 1.1× 303 1.1× 179 1.0× 176 1.1× 49 0.4× 15 722
Vidar M. Steen 356 1.1× 165 0.6× 183 1.0× 70 0.4× 24 0.2× 15 765
Manfred Andratsch 275 0.9× 193 0.7× 382 2.0× 54 0.3× 50 0.4× 14 758
Toshiyuki Matsuoka 266 0.8× 217 0.8× 148 0.8× 295 1.8× 125 1.0× 7 751

Countries citing papers authored by Shona M. McFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Shona M. McFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shona M. McFarlane

This figure shows the co-authorship network connecting the top 25 collaborators of Shona M. McFarlane. A scholar is included among the top collaborators of Shona M. McFarlane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shona M. McFarlane. Shona M. McFarlane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026