W E Ollier

631 total citations
20 papers, 469 citations indexed

About

W E Ollier is a scholar working on Immunology, Rheumatology and Oncology. According to data from OpenAlex, W E Ollier has authored 20 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Rheumatology and 4 papers in Oncology. Recurrent topics in W E Ollier's work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). W E Ollier is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). W E Ollier collaborates with scholars based in United Kingdom, United States and Iran. W E Ollier's co-authors include Peter M. Jones, J Saklatvala, P. T. Dawes, Michael Plant, Alex J. MacGregor, Ardeshir Bayat, Guyan Arscott, Mark W. J. Ferguson, Wendy Thomson and Damini Jawaheer and has published in prestigious journals such as Journal of Clinical Investigation, British Journal of Cancer and Annals of the Rheumatic Diseases.

In The Last Decade

W E Ollier

20 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W E Ollier United Kingdom 11 228 137 84 75 67 20 469
Solange Carrasco Brazil 12 216 0.9× 316 2.3× 47 0.6× 34 0.5× 32 0.5× 30 576
Florina Olaru United States 11 77 0.3× 164 1.2× 49 0.6× 66 0.9× 35 0.5× 13 380
Paul D. Doodes United States 7 168 0.7× 492 3.6× 37 0.4× 125 1.7× 52 0.8× 7 652
Y Ohashi Japan 9 101 0.4× 206 1.5× 37 0.4× 43 0.6× 25 0.4× 13 463
Michael D. Rader United States 6 199 0.9× 113 0.8× 14 0.2× 143 1.9× 18 0.3× 7 375
J. Eugene Huffstutter United States 10 223 1.0× 111 0.8× 69 0.8× 31 0.4× 109 1.6× 15 435
Jaime R. Carlo United States 11 187 0.8× 247 1.8× 24 0.3× 113 1.5× 141 2.1× 18 608
Bilha Hazaz Israel 17 284 1.2× 82 0.6× 58 0.7× 36 0.5× 66 1.0× 30 614
K. Nishioka Japan 12 93 0.4× 136 1.0× 54 0.6× 29 0.4× 48 0.7× 30 351
D. Gilbert France 16 369 1.6× 158 1.2× 52 0.6× 75 1.0× 134 2.0× 44 711

Countries citing papers authored by W E Ollier

Since Specialization
Citations

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

Fields of papers citing papers by W E Ollier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W E Ollier

This figure shows the co-authorship network connecting the top 25 collaborators of W E Ollier. A scholar is included among the top collaborators of W E 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 W E Ollier. W E Ollier 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
1.
2.
Salway, Fiona, Phillip Day, W E Ollier, & Tim Peakman. (2008). Levels of 5′ RNA tags in plasma and buffy coat from EDTA blood increase with time. International Journal of Epidemiology. 37(suppl_1). i11–i15. 19 indexed citations
3.
Rafatpanah, Houshang, Vera Pravica, Reza Faridhosseini, et al.. (2007). Association Between HLA-DRB1*01 and HLA-Cw*08 and Outcome Following HTLV-I Infection.. PubMed. 4(2). 94–100. 24 indexed citations
4.
Bayat, Ardeshir, et al.. (2004). Description of site-specific morphology of keloid phenotypes in an Afrocaribbean population. British Journal of Plastic Surgery. 57(2). 122–133. 81 indexed citations
5.
6.
Eyre, Stephen, Anne Myerscough, Anne Barton, et al.. (2002). Whole-genome linkage analysis of rheumatoid arthritis susceptibility loci in 252 affected sibling pairs in the United Kingdom (vol 46,pg 632, 2002). Queensland's institutional digital repository (The University of Queensland). 46(5). 1406–1406. 15 indexed citations
7.
Matthias, C., V. Jähnke, Ali H. Hajeer, et al.. (2001). Einfluss von Genvariationen im Major Histokompatibilitäts-Komplex auf das Entstehungsrisiko von Plattenepithelkarzinomen im Kopf-Hals-Bereich. Laryngo-Rhino-Otologie. 80(10). 595–600. 1 indexed citations
8.
Amoli, Mahsa M., Wendy Thomson, Ali H. Hajeer, et al.. (2001). HLA-DRB1 associations in biopsy proven erythema nodosum.. PubMed. 28(12). 2660–2. 1 indexed citations
9.
Ollier, W E, et al.. (2001). Cytokine gene polymorphisms and susceptibility to juvenile idiopathic arthritis. Arthritis & Rheumatism. 44(4). 802–810. 8 indexed citations
10.
Eyre, Stephen, Jeff Barrett, S.H. Laval, et al.. (2000). Linkage analysis of potential rheumatoid arthritis non-HLA susceptibility loci.. Oxford University Research Archive (ORA) (University of Oxford). 43. 1 indexed citations
11.
John, S., Anne Myerscough, Ali H. Hajeer, et al.. (1998). Linkage analysis of candidate gene loci in rheumatoid arthritis: Evidence suggestive of linkage to corticotropin releasing hormone (CRH) and oestrogen synthetase (CYP19).. Arthritis & Rheumatism. 41. 1 indexed citations
12.
Plant, Michael, Peter M. Jones, J Saklatvala, W E Ollier, & P. T. Dawes. (1998). Patterns of radiological progression in early rheumatoid arthritis: results of an 8 year prospective study.. PubMed. 25(3). 417–26. 153 indexed citations
13.
Taylor, G. Malcolm, David Gokhale, William A. Thompson, et al.. (1996). Molecular analysis of HLA-DQB1 alleles in childhood common acute lymphoblastic leukaemia. British Journal of Cancer. 73(5). 603–609. 20 indexed citations
14.
Kohsaka, Hitoshi, Dennis A. Carson, Laura Z. Rassenti, et al.. (1996). The human immunoglobulin V(H) gene repertoire is genetically controlled and unaltered by chronic autoimmune stimulation.. Journal of Clinical Investigation. 98(12). 2794–2800. 27 indexed citations
15.
Jawaheer, Damini, et al.. (1996). Unexpected HLA haplotype sharing in dizygotic twin pairs discordant for rheumatoid arthritis.. Journal of Medical Genetics. 33(12). 1015–1018. 13 indexed citations
16.
Ollier, W E & Alex J. MacGregor. (1995). Genetic epidemiology of rheumatoid disease. British Medical Bulletin. 51(2). 267–285. 53 indexed citations
17.
Kohsaka, Hitoshi, et al.. (1993). Regulation of the mature human T cell receptor gamma repertoire by biased V-J gene rearrangement.. Journal of Clinical Investigation. 91(1). 171–178. 18 indexed citations
18.
Jawaheer, Damini, W E Ollier, & Wendy Thomson. (1993). MULTIPLEX ARMS‐RFLP: A SIMPLE AND RAPID METHOD FOR HLA‐DR4 SUBTYPING. International Journal of Immunogenetics. 20(3). 175–187. 17 indexed citations
19.
Worthington, Jane, Alan S. Rigby, Alex J. MacGregor, et al.. (1993). Lack of association of increased antibody levels to mycobacterial hsp65 with rheumatoid arthritis: results from a study of disease discordant twin pairs.. Annals of the Rheumatic Diseases. 52(7). 542–544. 9 indexed citations
20.
Dizier, Marie‐Hélène, A J Silman, W E Ollier, D M Grennan, & Françoise Clerget‐Darpoux. (1992). Interactive effect of HLA and Gm and genetic heterogeneity tested in 79 rheumatoid arthritis families.. PubMed. 9(1). 27–34. 5 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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