Max Field

7.4k total citations · 2 hit papers
64 papers, 5.6k citations indexed

About

Max Field is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Max Field has authored 64 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Rheumatology, 21 papers in Immunology and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Max Field's work include Monoclonal and Polyclonal Antibodies Research (19 papers), Rheumatoid Arthritis Research and Therapies (15 papers) and Systemic Lupus Erythematosus Research (13 papers). Max Field is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), Rheumatoid Arthritis Research and Therapies (15 papers) and Systemic Lupus Erythematosus Research (13 papers). Max Field collaborates with scholars based in United Kingdom, Denmark and Czechia. Max Field's co-authors include Cong‐Qiu Chu, R D Sturrock, Iain B. McInnes, Marc Feldmann, Ravinder N. Maini, Bernard P. Leung, Foo Y. Liew, Catherine J Mathews, Vivienne Weston and Gerald Coakley and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Max Field

63 papers receiving 5.3k citations

Hit Papers

A proinflammatory role for IL-18 in rheumatoid arthritis 1999 2026 2008 2017 1999 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Field United Kingdom 33 1.9k 1.7k 1.3k 1.1k 637 64 5.6k
Carlo Perricone Italy 49 2.8k 1.5× 2.4k 1.4× 661 0.5× 1.1k 1.1× 376 0.6× 241 6.8k
Chang‐Hee Suh South Korea 37 2.1k 1.1× 2.0k 1.1× 580 0.5× 1.0k 1.0× 256 0.4× 262 5.2k
Bernhard Manger Germany 43 3.5k 1.8× 3.2k 1.8× 709 0.6× 1.3k 1.3× 235 0.4× 201 7.5k
Dan Caspi Israel 40 1.9k 1.0× 1.3k 0.7× 492 0.4× 945 0.9× 234 0.4× 159 4.8k
Gabrielle Kingsley United Kingdom 36 2.1k 1.1× 1.4k 0.8× 626 0.5× 388 0.4× 189 0.3× 103 4.5k
Axel J. Hueber Germany 39 2.4k 1.2× 2.7k 1.5× 742 0.6× 1.2k 1.1× 171 0.3× 155 5.9k
João Eurico Fonseca Portugal 41 2.6k 1.3× 1.6k 0.9× 548 0.4× 1.4k 1.3× 191 0.3× 314 5.8k
Ian P. Wicks Australia 55 2.0k 1.0× 4.4k 2.5× 689 0.5× 2.9k 2.8× 366 0.6× 175 9.2k
Xavier Bossuyt Belgium 45 1.6k 0.8× 2.4k 1.4× 982 0.8× 1.3k 1.2× 237 0.4× 269 7.4k
Daniel Wendling France 49 5.4k 2.8× 2.4k 1.4× 1.1k 0.9× 1.1k 1.0× 338 0.5× 514 9.1k

Countries citing papers authored by Max Field

Since Specialization
Citations

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

Fields of papers citing papers by Max Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Field

This figure shows the co-authorship network connecting the top 25 collaborators of Max Field. A scholar is included among the top collaborators of Max Field 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 Max Field. Max Field 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.
Sandhu, Harbinder, Geraint Davies, Nicole K. Y. Tang, et al.. (2016). Combined cognitive–behavioural and mindfulness programme for people living with dystonia: a proof-of-concept study. BMJ Open. 6(8). e011495–e011495. 12 indexed citations
2.
Mathews, Catherine J, Vivienne Weston, Adrian Jones, Max Field, & Gerald Coakley. (2010). Bacterial septic arthritis in adults. The Lancet. 375(9717). 846–855. 473 indexed citations breakdown →
3.
4.
Field, Max, J. M. Burke, David McAllister, & David Lloyd. (2007). Peer‐assisted learning: a novel approach to clinical skills learning for medical students. Medical Education. 41(4). 411–418. 189 indexed citations
5.
Graham, Keith M., et al.. (2007). Peer-assisted learning in the acquisition of clinical skills: a supplementary approach to musculoskeletal system training. Medical Teacher. 29(6). 577–582. 85 indexed citations
6.
Field, Max, et al.. (2006). Education in rheumatology. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
7.
Smith, Kevin D., et al.. (2002). The heterogeneity of the glycosylation of alpha‐1‐acid glycoprotein between the sera and synovial fluid in rheumatoid arthritis. Biomedical Chromatography. 16(4). 261–266. 19 indexed citations
8.
Esfandiari, Ehsanollah, Iain B. McInnes, George B.M. Lindop, et al.. (2001). A Proinflammatory Role of IL-18 in the Development of Spontaneous Autoimmune Disease. The Journal of Immunology. 167(9). 5338–5347. 103 indexed citations
9.
Gupta, Madhu, R D Sturrock, & Max Field. (2001). A prospective 2‐year study of 75 patients with adult‐onset septic arthritis. Lara D. Veeken. 40(1). 24–30. 240 indexed citations
10.
Gracie, J. Alastair, Rosalyn Forsey, Woon Ling Chan, et al.. (1999). A proinflammatory role for IL-18 in rheumatoid arthritis. Journal of Clinical Investigation. 104(10). 1393–1401. 537 indexed citations breakdown →
11.
Eskdale, Joyce, et al.. (1997). The IL10.R2 microsatellite allele segregates into rheumatoid arthritis patients of differing geographic and ethnic origin. Oxford University Research Archive (ORA) (University of Oxford). 40. 760–760. 3 indexed citations
12.
Gallagher, Grant, et al.. (1997). Polymorphisms in the TNF gene cluster and MHC serotypes in the West of Scotland. Immunogenetics. 45(3). 188–194. 51 indexed citations
13.
Field, Max, Andrew D. Cook, & Grant Gallagher. (1997). Immuno-localisation of tumour necrosis factor and its receptors in temporal arteritis. Rheumatology International. 17(3). 113–118. 46 indexed citations
14.
Eskdale, Joyce, P Wordsworth, Simon Bowman, Max Field, & Grant Gallagher. (1997). Association between polymorphisms at the human IL‐10 locus and systemic lupus erythematosus. Tissue Antigens. 49(6). 635–639. 147 indexed citations
15.
Elliott, Moira A., et al.. (1997). Investigation into the Concanavalin A reactivity, fucosylation and oligosaccharide microheterogeneity of α1-acid glycoprotein expressed in the sera of patients with rheumatoid arthritis. Journal of Chromatography B Biomedical Sciences and Applications. 688(2). 229–237. 43 indexed citations
16.
Eskdale, Joyce, P Wordsworth, Max Field, & Grant Gallagher. (1996). Distribution of IL-10 promoter microsatellite alleles in systemic lupus erythematosus and rheumatoid arthritis.. Oxford University Research Archive (ORA) (University of Oxford). 39. 601–601. 1 indexed citations
17.
McInnes, Iain B., Bernard P. Leung, Max Field, et al.. (1996). Production of nitric oxide in the synovial membrane of rheumatoid and osteoarthritis patients.. The Journal of Experimental Medicine. 184(4). 1519–1524. 242 indexed citations
19.
Chu, Cong‐Qiu, Max Field, Marc Feldmann, & Ravinder N. Maini. (1991). Localization of Tumor Necrosis Factor α in Synovial Tissues and at the Cartilage–Pannus Junction in Patients With Rheumatoid Arthritis. Arthritis & Rheumatism. 34(9). 1125–1132. 492 indexed citations
20.
Chu, Cong‐Qiu, Max Field, Erika R. Abney, et al.. (1991). Transforming growth factor-β1 in rheumatoid synovial membrane and cartilage pannus junction. Clinical & Experimental Immunology. 86(3). 380–386. 76 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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