Lorraine Yeo

899 total citations
17 papers, 508 citations indexed

About

Lorraine Yeo is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lorraine Yeo has authored 17 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 6 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lorraine Yeo's work include Rheumatoid Arthritis Research and Therapies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (5 papers). Lorraine Yeo is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (5 papers). Lorraine Yeo collaborates with scholars based in United Kingdom, United States and Australia. Lorraine Yeo's co-authors include Dagmar Scheel‐Toellner, Karim Raza, Andrew Filer, Christopher D. Buckley, Maria Juárez, Martyn Snow, Timothy Smallie, Michael Biehl, Garry Dolton and Andrew K. Sewell and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Frontiers in Immunology.

In The Last Decade

Lorraine Yeo

17 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorraine Yeo United Kingdom 11 210 172 153 101 76 17 508
Kevin Maas United States 13 152 0.7× 156 0.9× 146 1.0× 79 0.8× 52 0.7× 16 477
Nicolas Wisniacki United Kingdom 10 165 0.8× 113 0.7× 97 0.6× 70 0.7× 60 0.8× 12 396
Maki Fujishiro Japan 13 114 0.5× 148 0.9× 205 1.3× 112 1.1× 44 0.6× 30 453
Š Rùzicková Czechia 11 203 1.0× 110 0.6× 168 1.1× 61 0.6× 59 0.8× 20 463
Xana Kim-Howard United States 11 425 2.0× 335 1.9× 102 0.7× 69 0.7× 143 1.9× 16 672
Jurgen van Heemst Netherlands 8 315 1.5× 332 1.9× 117 0.8× 66 0.7× 47 0.6× 12 649
Edward J. Fudman United States 9 131 0.6× 274 1.6× 118 0.8× 50 0.5× 55 0.7× 10 598
Thomas Grader‐Beck United States 13 151 0.7× 146 0.8× 75 0.5× 72 0.7× 51 0.7× 30 537
T Witte Germany 13 354 1.7× 185 1.1× 177 1.2× 50 0.5× 73 1.0× 23 687
Ola Börjesson Sweden 7 303 1.4× 209 1.2× 92 0.6× 45 0.4× 68 0.9× 11 512

Countries citing papers authored by Lorraine Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Lorraine Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorraine Yeo

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

All Works

17 of 17 papers shown
1.
Yeo, Lorraine, Irma Pujol‐Autonell, Ricardo Baptista, et al.. (2019). Circulating β cell-specific CD8+ T cells restricted by high-risk HLA class I molecules show antigen experience in children with and at risk of type 1 diabetes. Clinical & Experimental Immunology. 199(3). 263–277. 26 indexed citations
2.
Yeo, Lorraine, Sanjana Sood, Anna Lorenc, et al.. (2018). Autoreactive T effector memory differentiation mirrors β cell function in type 1 diabetes. Journal of Clinical Investigation. 128(8). 3460–3474. 47 indexed citations
3.
Dolton, Garry, Efthalia Zervoudi, Cristina Rius, et al.. (2018). Optimized Peptide–MHC Multimer Protocols for Detection and Isolation of Autoimmune T-Cells. Frontiers in Immunology. 9. 1378–1378. 44 indexed citations
4.
Amara, Khaled, Lorraine Yeo, Daniel Ramsköld, et al.. (2017). B cells expressing the IgA receptor FcRL4 participate in the autoimmune response in patients with rheumatoid arthritis. Journal of Autoimmunity. 81. 34–43. 45 indexed citations
5.
Amara, Khaled, Lorraine Yeo, Daniel Ramsköld, et al.. (2017). Immunoglobulin characteristics and RNAseq data of FcRL4+ B cells sorted from synovial fluid and tissue of patients with rheumatoid arthritis. Data in Brief. 13. 356–370. 2 indexed citations
6.
Juárez, Maria, Helen M. McGettrick, Dagmar Scheel‐Toellner, et al.. (2016). DKK1 expression by synovial fibroblasts in very early rheumatoid arthritis associates with lymphocyte adhesion in an in vitro flow co-culture system. Arthritis Research & Therapy. 18(1). 14–14. 21 indexed citations
7.
Nanus, Dominika E., Andrew Filer, Lorraine Yeo, et al.. (2015). Differential glucocorticoid metabolism in patients with persistent versus resolving inflammatory arthritis. Arthritis Research & Therapy. 17(1). 121–121. 12 indexed citations
8.
Yeo, Lorraine, Michael Biehl, Maria Juárez, et al.. (2015). Expression of chemokines CXCL4 and CXCL7 by synovial macrophages defines an early stage of rheumatoid arthritis. Annals of the Rheumatic Diseases. 75(4). 763–771. 109 indexed citations
9.
Yeo, Lorraine, Michael R. Milward, Diana Smith, et al.. (2015). Periodontitis prevalence and serum antibody reactivity to periodontal bacteria in primary Sjögren's syndrome: a pilot study. Journal Of Clinical Periodontology. 43(1). 26–33. 30 indexed citations
10.
Yeo, Lorraine, Maria Juárez, Martyn Snow, et al.. (2014). Expression of FcRL4 defines a pro-inflammatory, RANKL-producing B cell subset in rheumatoid arthritis. Annals of the Rheumatic Diseases. 74(5). 928–935. 89 indexed citations
11.
Yeo, Lorraine, Deborah Hardie, Maria Juárez, et al.. (2014). 1.66 CXCL4 and CXCL7 expression on macrophages: a potential predictor of disease outcome in patients presenting with early synovitis?. Annals of the Rheumatic Diseases. 73. A28–A29. 3 indexed citations
12.
Yeo, Lorraine, Maria Juárez, Christopher D. Buckley, et al.. (2014). A1.53 A novel pro-inflammatory B cell population in the rheumatoid synovium can be identified by expression of FCRL4. Annals of the Rheumatic Diseases. 73. A22–A23. 2 indexed citations
13.
Juárez, Maria, Emmanuel Karouzakis, Rowan Hardy, et al.. (2013). Early rheumatoid arthritis and resolving fibroblasts segregate according to Dickkopf related protein 1 expression. The Lancet. 381. S57–S57. 2 indexed citations
14.
Juárez, Maria, et al.. (2012). Differential expression of DKK1 in synovial fibroblasts from patients with resolving and early rheumatoid arthritis. Annals of the Rheumatic Diseases. 71. A24–A24. 1 indexed citations
15.
Essex, Sarah, Lorraine Yeo, John Curnow, et al.. (2011). The response of T cells to interleukin‐6 is differentially regulated by the microenvironment of the rheumatoid synovial fluid and tissue. Arthritis & Rheumatism. 63(11). 3284–3293. 14 indexed citations
16.
Boumans, Maria J H, Rogier M. Thurlings, Lorraine Yeo, et al.. (2011). Rituximab abrogates joint destruction in rheumatoid arthritis by inhibiting osteoclastogenesis. Annals of the Rheumatic Diseases. 71(1). 108–113. 52 indexed citations
17.
Yeo, Lorraine, Caroline Schmutz, Kai‐Michael Toellner, et al.. (2011). Cytokine mRNA profiling identifies B cells as a major source of RANKL in rheumatoid arthritis. Annals of the Rheumatic Diseases. 70. A60–A60. 9 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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