Fiona J. Plunkett

13 total papers · 1.7k total citations
12 papers, 1.3k citations indexed

About

Fiona J. Plunkett is a scholar working on Immunology, Epidemiology and Physiology. According to data from OpenAlex, Fiona J. Plunkett has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Fiona J. Plunkett's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Telomeres, Telomerase, and Senescence (5 papers). Fiona J. Plunkett is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Telomeres, Telomerase, and Senescence (5 papers). Fiona J. Plunkett collaborates with scholars based in United Kingdom, Italy and Netherlands. Fiona J. Plunkett's co-authors include Arne N. Akbar, Mike Salmon, Jean M. Fletcher, Maria V. D. Soares, Ornella Franzese, Helene M. Finney, Pádraic J. Dunne, Andrew D. Hislop, David B. Webster and Alan B. Rickinson and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Annals of Internal Medicine.

In The Last Decade

Fiona J. Plunkett

12 papers receiving 1.3k citations

Hit Papers

Good Publication Practice... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Fiona J. Plunkett 839 422 249 160 139 12 1.3k
Zhi‐En Wang 709 0.8× 411 1.0× 147 0.6× 72 0.5× 211 1.5× 18 1.3k
Caroline Sommereyns 749 0.9× 334 0.8× 81 0.3× 310 1.9× 182 1.3× 9 1.2k
R A Seder 1.3k 1.5× 320 0.8× 105 0.4× 267 1.7× 224 1.6× 9 1.8k
J McNicholl 669 0.8× 340 0.8× 110 0.4× 226 1.4× 229 1.6× 22 1.6k
Eleanor Ling 746 0.9× 152 0.4× 389 1.6× 109 0.7× 106 0.8× 10 1.3k
Jeff L. Bidwell 779 0.9× 350 0.8× 144 0.6× 263 1.6× 283 2.0× 19 1.7k
Ş. Ş. Alkan 750 0.9× 212 0.5× 344 1.4× 194 1.2× 251 1.8× 30 1.6k
Casey Lewis 810 1.0× 317 0.8× 66 0.3× 123 0.8× 158 1.1× 17 1.2k
Kodjo Ayi 368 0.4× 279 0.7× 248 1.0× 71 0.4× 270 1.9× 23 1.4k
Bernard Boutin 740 0.9× 188 0.4× 151 0.6× 215 1.3× 175 1.3× 21 1.5k

Countries citing papers authored by Fiona J. Plunkett

Since Specialization
Citations

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

Fields of papers citing papers by Fiona J. Plunkett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona J. Plunkett. 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 Fiona J. Plunkett. The network helps show where Fiona J. Plunkett may publish in the future.

Co-authorship network of co-authors of Fiona J. Plunkett

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona J. Plunkett. A scholar is included among the top collaborators of Fiona J. Plunkett 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 Fiona J. Plunkett. Fiona J. Plunkett 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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