Oliver Pickles

644 total citations
8 papers, 191 citations indexed

About

Oliver Pickles is a scholar working on Oncology, Infectious Diseases and Pathology and Forensic Medicine. According to data from OpenAlex, Oliver Pickles has authored 8 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 2 papers in Infectious Diseases and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Oliver Pickles's work include Colorectal Cancer Treatments and Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and COVID-19 Clinical Research Studies (2 papers). Oliver Pickles is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and COVID-19 Clinical Research Studies (2 papers). Oliver Pickles collaborates with scholars based in United Kingdom, Egypt and China. Oliver Pickles's co-authors include Gary Middleton, Andrew D. Beggs, Neeraj Lal, Philippe Tanière, Benjamin E. Willcox, Mike J. Mason, Ghaleb Goussous, Brian S. White, Justin Guinney and Louise Tee and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and Oncotarget.

In The Last Decade

Oliver Pickles

8 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Pickles United Kingdom	7	118	57	52	41	34	8	191
Karolina Bednarska Australia	9	61 0.5×	42 0.7×	45 0.9×	87 2.1×	53 1.6×	19	254
Silva Ljevar Italy	7	131 1.1×	22 0.4×	25 0.5×	35 0.9×	27 0.8×	17	176
Marco Rubatto Italy	10	119 1.0×	40 0.7×	47 0.9×	95 2.3×	10 0.3×	30	246
Jordi Abril‐Fornaguera Spain	4	65 0.6×	35 0.6×	68 1.3×	26 0.6×	23 0.7×	4	203
Christine Moung United States	6	41 0.3×	44 0.8×	38 0.7×	20 0.5×	43 1.3×	10	153
Akshaya Ramachandran United States	5	55 0.5×	69 1.2×	66 1.3×	66 1.6×	17 0.5×	17	206
Şahin Laçin Türkiye	10	98 0.8×	33 0.6×	69 1.3×	18 0.4×	37 1.1×	37	242
Rémy Nyga France	6	82 0.7×	87 1.5×	37 0.7×	82 2.0×	13 0.4×	9	219
Juan Manuel Alonso‐Domínguez Spain	10	58 0.5×	26 0.5×	78 1.5×	30 0.7×	12 0.4×	40	242
Helen Marr United Kingdom	10	65 0.6×	31 0.5×	64 1.2×	43 1.0×	15 0.4×	18	188

Countries citing papers authored by Oliver Pickles

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Pickles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Pickles

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

All Works

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8 of 8 papers shown

Pickles, Oliver, Kasun Wanigasooriya, Anetta Ptasinska, et al.. (2023). MHC Class II is Induced by IFNγ and Follows Three Distinct Patterns of Expression in Colorectal Cancer Organoids. Cancer Research Communications. 3(8). 1501–1513. 6 indexed citations

Wanigasooriya, Kasun, João D. Barros‐Silva, Louise Tee, et al.. (2022). Patient Derived Organoids Confirm That PI3K/AKT Signalling Is an Escape Pathway for Radioresistance and a Target for Therapy in Rectal Cancer. Frontiers in Oncology. 12. 920444–920444. 11 indexed citations

Pickles, Oliver, Lennard Y. W. Lee, Thomas Starkey, et al.. (2020). Immune checkpoint blockade: releasing the breaks or a protective barrier to COVID-19 severe acute respiratory syndrome?. British Journal of Cancer. 123(5). 691–693. 12 indexed citations

Bosworth, Andrew, Celina Whalley, Kasun Wanigasooriya, et al.. (2020). Rapid implementation and validation of a cold-chain free SARS-CoV-2 diagnostic testing workflow to support surge capacity. Journal of Clinical Virology. 128. 104469–104469. 18 indexed citations

Pickles, Oliver, et al.. (2020). Paradox breaker BRAF inhibitors have comparable potency and MAPK pathway reactivation to encorafenib in BRAF mutant colorectal cancer. Oncotarget. 11(34). 3188–3197. 10 indexed citations

Lal, Neeraj, Brian S. White, Ghaleb Goussous, et al.. (2017). KRAS Mutation and Consensus Molecular Subtypes 2 and 3 Are Independently Associated with Reduced Immune Infiltration and Reactivity in Colorectal Cancer. Clinical Cancer Research. 24(1). 224–233. 112 indexed citations

Pickles, Oliver, et al.. (2013). Effects of Tea Consumption on Renal Function in a Metropolitan Chinese Population: The Guangzhou Biobank Cohort Study. Journal of Renal Nutrition. 24(1). 26–31. 9 indexed citations

Newby, Paul, Oliver Pickles, Stephan Brand, et al.. (2010). Follow-up of potential novel Graves' disease susceptibility loci, identified in the UK WTCCC genome-wide nonsynonymous SNP study. European Journal of Human Genetics. 18(9). 1021–1026. 13 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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