John Campbell

2.9k total citations
72 papers, 1.9k citations indexed

About

John Campbell is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, John Campbell has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 17 papers in Oncology and 12 papers in Epidemiology. Recurrent topics in John Campbell's work include Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (12 papers) and CAR-T cell therapy research (9 papers). John Campbell is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (12 papers) and CAR-T cell therapy research (9 papers). John Campbell collaborates with scholars based in United Kingdom, United States and Australia. John Campbell's co-authors include Gordon Cook, Phillip A. Low, Elaine L. Alexander, Alasdair R. Fraser, Shawn J. Bird, Justin W. Griffin, David R. Cornblath, Eva L. Feldman, Elizabeth Glass and Ian M. Franklin and has published in prestigious journals such as The Journal of Immunology, Annals of Neurology and International Journal of Molecular Sciences.

In The Last Decade

John Campbell

67 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Campbell United Kingdom 24 533 311 249 236 217 72 1.9k
Eriko Isogai Japan 27 199 0.4× 1.0k 3.3× 177 0.7× 297 1.3× 150 0.7× 68 2.1k
Dolors Fondevila Spain 24 189 0.4× 343 1.1× 307 1.2× 116 0.5× 79 0.4× 93 1.9k
Steven J. Greenberg United States 32 948 1.8× 392 1.3× 59 0.2× 600 2.5× 504 2.3× 79 4.0k
Steve A. McClain United States 28 115 0.2× 450 1.4× 294 1.2× 120 0.5× 127 0.6× 110 2.6k
Alfredo Adán Spain 31 333 0.6× 402 1.3× 145 0.6× 100 0.4× 265 1.2× 238 3.6k
Michael Goldstein United States 22 680 1.3× 988 3.2× 192 0.8× 528 2.2× 64 0.3× 35 2.4k
Amit Prasad India 23 332 0.6× 588 1.9× 332 1.3× 114 0.5× 129 0.6× 93 1.9k
François Hentges Luxembourg 25 1.3k 2.4× 371 1.2× 39 0.2× 310 1.3× 152 0.7× 52 2.5k
Wanjun Chen China 30 1.1k 2.1× 1.3k 4.1× 134 0.5× 624 2.6× 362 1.7× 86 4.1k
Giusto Trevisan Italy 21 246 0.5× 319 1.0× 317 1.3× 411 1.7× 49 0.2× 147 1.5k

Countries citing papers authored by John Campbell

Since Specialization
Citations

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

Fields of papers citing papers by John Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of John Campbell. A scholar is included among the top collaborators of John Campbell 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 John Campbell. John Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Hope, Vivian, Ian D. Boardley, Josie Smith, et al.. (2022). Anabolic androgenic steroid use population size estimation: a first stage study utilising a Delphi exercise. Drugs Education Prevention and Policy. 30(5). 461–473. 12 indexed citations
3.
Trayner, Kirsten M. A., Andrew McAuley, Norah Palmateer, et al.. (2022). Examining the impact of the first wave of COVID-19 and associated control measures on interventions to prevent blood-borne viruses among people who inject drugs in Scotland: an interrupted time series study. Drug and Alcohol Dependence. 232. 109263–109263. 15 indexed citations
4.
Burgoyne, Paul S., et al.. (2021). CCR7+ dendritic cells sorted by binding of CCL19 show enhanced Ag-presenting capacity and antitumor potency. Journal of Leukocyte Biology. 111(6). 1243–1251. 5 indexed citations
5.
Cooper, Rachel, Gwen Wilkie, Mark A. Vickers, et al.. (2021). Cytometric analysis of T cell phenotype using cytokine profiling for improved manufacturing of an EBV-specific T cell therapy. Clinical & Experimental Immunology. 206(1). 68–81. 3 indexed citations
6.
Brennan, Paul, Mark T. Macmillan, Catriona Graham, et al.. (2021). Study protocol: a multicentre, open-label, parallel-group, phase 2, randomised controlled trial of autologous macrophage therapy for liver cirrhosis (MATCH). BMJ Open. 11(11). e053190–e053190. 25 indexed citations
7.
Forbes, Shareen, Andrew Bond, Paul S. Burgoyne, et al.. (2020). Human umbilical cord perivascular cells improve human pancreatic islet transplant function by increasing vascularization. Science Translational Medicine. 12(526). 42 indexed citations
8.
Findlay, Emily Gwyer, Andrew Currie, Ailiang Zhang, et al.. (2019). Exposure to the antimicrobial peptide LL-37 produces dendritic cells optimized for immunotherapy. OncoImmunology. 8(8). 1608106–1608106. 29 indexed citations
9.
McGowan, Neil, John Campbell, & Joanne C. Mountford. (2017). Good Manufacturing Practice (GMP) Translation of Advanced Cellular Therapeutics: Lessons for the Manufacture of Erythrocytes as Medicinal Products. Methods in molecular biology. 1698. 285–292. 8 indexed citations
10.
Dunleavy, Karen, Alison Munro, Koyel Roy, et al.. (2017). Spore forming bacteria infections and people who inject drugs: Implications for harm reduction. International Journal of Drug Policy. 53. 45–54. 2 indexed citations
11.
Stephen, Jillian, et al.. (2016). Mesenchymal stromal cells as multifunctional cellular therapeutics – a potential role for extracellular vesicles. Transfusion and Apheresis Science. 55(1). 62–69. 31 indexed citations
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Harrison, Simon J., Ian M. Franklin, & John Campbell. (2008). Enumeration of blood dendritic cells in patients with multiple myeloma at presentation and through therapy. Leukemia & lymphoma. 49(12). 2272–2283. 11 indexed citations
15.
Campbell, John, Gordon Cook, Susan Robertson, et al.. (2001). Suppression of IL-2-Induced T Cell Proliferation and Phosphorylation of STAT3 and STAT5 by Tumor-Derived TGFβ Is Reversed by IL-15. The Journal of Immunology. 167(1). 553–561. 66 indexed citations
16.
Graham, Simon P., David J. Brown, Zati Vatansever, et al.. (2001). Proinflammatory cytokine expression by Theileria annulata infected cell lines correlates with the pathology they cause in vivo. Vaccine. 19(20-22). 2932–2944. 46 indexed citations
17.
Preston‐Ferrer, Patricia, F. R. Hall, Elizabeth Glass, et al.. (1999). Innate and Adaptive Immune Responses Co-operate to Protect Cattle against Theileria annulata. Parasitology Today. 15(7). 268–274. 50 indexed citations
18.
Cook, Gordon & John Campbell. (1999). Immune regulation in multiple myeloma: the host–tumour conflict. Blood Reviews. 13(3). 151–162. 37 indexed citations
19.
Brown, C.G.D., Erol Kirvar, Elizabeth Glass, et al.. (1998). Different Vaccine Strategies Used to Protect against Theileria annulataa. Annals of the New York Academy of Sciences. 849(1). 234–246. 31 indexed citations
20.
Campbell, John, et al.. (1997). Parasite-Mediated Steps in Immune Response Failure During PrimaryTheileria AnnulataInfection. Tropical Animal Health and Production. 29(S4). 133S–135S. 3 indexed citations

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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