Bill Ollier

1.3k total citations
29 papers, 719 citations indexed

About

Bill Ollier is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Bill Ollier has authored 29 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Rheumatology and 7 papers in Molecular Biology. Recurrent topics in Bill Ollier's work include T-cell and B-cell Immunology (8 papers), Systemic Lupus Erythematosus Research (7 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Bill Ollier is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Systemic Lupus Erythematosus Research (7 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Bill Ollier collaborates with scholars based in United Kingdom, United States and Qatar. Bill Ollier's co-authors include Alan J. Silman, Wendy Thomson, A J Silman, Antony Payton, Nicola Wiles, Beverley Harrison, Deborah Symmons, Enid Hennessy, Jane Worthington and Jennifer H. Barrett and has published in prestigious journals such as The Lancet, Nature Medicine and Gastroenterology.

In The Last Decade

Bill Ollier

29 papers receiving 695 citations

Peers

Bill Ollier

RHEUM

IMMUN

RNMI

GENET

EDM

Willem Verduyn Netherlands

Lucienne Papadaki United Kingdom

R Fior France

P. Richiardi Italy

Hans‐Peter Brezinschek Austria

Jamil Al-Mughales Saudi Arabia

J. C. Poirier France

Emanuela Bartoccioni Italy

A K So United Kingdom

G Tonietti Italy

Willem Verduyn Netherlands

Bill Ollier

425 ×1.2

RHEUM

568 ×3.0

IMMUN

182 ×1.8

RNMI

125 ×1.4

GENET

22 ×0.3

EDM

Citations per year, relative to Bill Ollier Bill Ollier (= 1×) peers Willem Verduyn

Countries citing papers authored by Bill Ollier

Since Specialization

Citations

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

Fields of papers citing papers by Bill Ollier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Ollier

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

All Works

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20 of 20 papers shown

Yuille, Martin & Bill Ollier. (2021). Saving sick Britain: Why we need the 'Health Society'. 1 indexed citations

Short, A. D., Alisdair M. Boag, Briän Catchpole, et al.. (2013). A Candidate Gene Analysis of Canine Hypoadrenocorticism in 3 Dog Breeds. Journal of Heredity. 104(6). 807–820. 23 indexed citations

Jayasekeran, Vanoo, Neil Pendleton, Antony Payton, et al.. (2011). Val66Met in Brain-Derived Neurotrophic Factor Affects Stimulus-Induced Plasticity in the Human Pharyngeal Motor Cortex. Gastroenterology. 141(3). 827–836.e3. 33 indexed citations

Yuille, Martin, Thomas Illig, Kristian Hveem, et al.. (2010). Laboratory Management of Samples in Biobanks: European Consensus Expert Group Report. Biopreservation and Biobanking. 8(1). 65–69. 22 indexed citations

Farzaneh, Farah, SA Roberts, Bill Ollier, et al.. (2006). The IL‐10 −1082G polymorphism is associated with clearance of HPV infection. BJOG An International Journal of Obstetrics & Gynaecology. 113(8). 961–964. 26 indexed citations

Kennedy, L. J., Laurence S. Hall, Stuart Carter, et al.. (2000). Identification of further DLA‐DRB1 and DQA1 alleles in the dog. European Journal of Immunogenetics. 27(1). 25–28. 17 indexed citations

MacGregor, Alex J., Jennifer H. Barrett, Helen Wilson, et al.. (2000). A two-stage, genome-wide screen for susceptibility loci in primary Raynaud's phenomenon. Arthritis & Rheumatism. 43(7). 1641–1646. 34 indexed citations

Baerwald, Christoph, Chi Chiu Mok, Chak Sing Lau, et al.. (2000). Corticotropin releasing hormone (CRH) promoter polymorphisms in various ethnic groups of patients with rheumatoid arthritis. Zeitschrift für Rheumatologie. 59(1). 29–34. 34 indexed citations

Kennedy, L. J., Stuart Carter, A. Barnes, et al.. (1999). Interbreed variation of DLA-DRB1, DQA1 alleles and haplotypes in the dog. Veterinary Immunology and Immunopathology. 69(2-4). 101–111. 32 indexed citations

10.

Harrison, Beverley, Wendy Thomson, Deborah Symmons, et al.. (1999). The influence of HLA-DRB1 alleles and rheumatoid factor on disease outcome in an inception cohort of patients with early inflammatory arthritis. Arthritis & Rheumatism. 42(10). 2174–2183. 69 indexed citations

11.

Kennedy, L. J., Stuart Carter, Andrew C. Barnes, et al.. (1999). DLA‐DRB1 polymorphisms in dogs defined by sequence‐specific oligonucleotide probes (SSOP). Tissue Antigens. 53(2). 184–189. 14 indexed citations

12.

Baerwald, Christoph, Chi Chiu Mok, Mark Fife, et al.. (1999). Distribution of corticotropin-releasing hormone promoter polymorphism in different ethnic groups: evidence for natural selection in human populations. Immunogenetics. 49(10). 894–899. 30 indexed citations

13.

Thomson, Wendy, Beverley Harrison, Bill Ollier, et al.. (1999). Quantifying the exact role of HLA–DRB1 alleles in susceptibility to inflammatory polyarthritis: Results from a large, population-based study. Arthritis & Rheumatism. 42(4). 757–757. 13 indexed citations

14.

Thomson, Wendy, Beverley Harrison, Bill Ollier, et al.. (1999). Quantifying the exact role of HLA-DRB1 alleles in susceptibility to inflammatory polyarthritis: Results from a large, population-based study. Arthritis & Rheumatism. 42(4). 757–762. 84 indexed citations

15.

Ollier, Bill & Jane Worthington. (1997). Happy families. Annals of the Rheumatic Diseases. 56(3). 149–149. 1 indexed citations

16.

Brennan, Paul M., Ali H. Hajeer, Kai Ren Ong, et al.. (1997). Allelic markers close to prolactin are associated with HLA‐DRB1 susceptibility alleles among women with rheumatoid arthritis and systemic lupus erythematosus. Arthritis & Rheumatism. 40(8). 1383–1386. 52 indexed citations

17.

Ollier, Bill. (1996). Shock revelations about HLA–DR4 — a shortcut to rheumatoid arthritis?. Nature Medicine. 2(3). 279–280. 7 indexed citations

18.

Brennan, Paul M., Antony Payton, Bill Ollier, & Alan J. Silman. (1996). Maternal exposure to paternal HLA does not explain the postpartum increase in rheumatoid arthritis. Genetic Epidemiology. 13(4). 411–418. 4 indexed citations

19.

Brennan, Paul M., Bill Ollier, Jane Worthington, Ali H. Hajeer, & Alan J. Silman. (1996). Are both genetic and reproductive associations with rheumatoid arthritis linked to prolactin?. The Lancet. 348(9020). 106–109. 44 indexed citations

20.

Silman, A J, Enid Hennessy, & Bill Ollier. (1992). INCIDENCE OF RHEUMATOID ARTHRITIS IN A GENETICALLY PREDISPOSED POPULATION. Lara D. Veeken. 31(6). 365–368. 62 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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