Christopher J. Elson

950 total citations
27 papers, 720 citations indexed

About

Christopher J. Elson is a scholar working on Immunology, Physiology and Hematology. According to data from OpenAlex, Christopher J. Elson has authored 27 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Physiology and 8 papers in Hematology. Recurrent topics in Christopher J. Elson's work include T-cell and B-cell Immunology (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and Blood groups and transfusion (8 papers). Christopher J. Elson is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and Blood groups and transfusion (8 papers). Christopher J. Elson collaborates with scholars based in United Kingdom, United States and Guinea-Bissau. Christopher J. Elson's co-authors include Ginette R. Webb, Robert N. Barker, Stephen J. Thompson, Shane Clarke, John Kirwan, Mohammed Sharif, Raquel Granell, G.A.W. Rook, Ruurd van der Zee and Robert N. Barker and has published in prestigious journals such as Blood, The Journal of Immunology and European Journal of Immunology.

In The Last Decade

Christopher J. Elson

26 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Elson United Kingdom 15 254 234 188 168 147 27 720
R. Bauer Germany 16 216 0.9× 255 1.1× 77 0.4× 42 0.3× 80 0.5× 49 722
Miguel Cordero‐Coma Spain 21 102 0.4× 430 1.8× 84 0.4× 140 0.8× 105 0.7× 67 1.3k
T Blyth United Kingdom 6 173 0.7× 189 0.8× 57 0.3× 40 0.2× 126 0.9× 7 606
Trentham De United States 7 553 2.2× 203 0.9× 140 0.7× 53 0.3× 70 0.5× 11 1.0k
Jean-Paul Papin France 12 424 1.7× 137 0.6× 231 1.2× 21 0.1× 311 2.1× 18 877
King‐Hung Ko Hong Kong 14 629 2.5× 162 0.7× 131 0.7× 63 0.4× 192 1.3× 16 993
Angela C. Horsfall United Kingdom 16 367 1.4× 321 1.4× 132 0.7× 50 0.3× 170 1.2× 31 849
Melanie K. Kuechle United States 11 294 1.2× 116 0.5× 183 1.0× 28 0.2× 52 0.4× 15 725
Daniele Torchia Italy 17 227 0.9× 338 1.4× 78 0.4× 25 0.1× 71 0.5× 72 1.0k
Paola Toto Italy 15 289 1.1× 299 1.3× 101 0.5× 66 0.4× 31 0.2× 28 931

Countries citing papers authored by Christopher J. Elson

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Elson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Elson. 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 Christopher J. Elson. The network helps show where Christopher J. Elson may publish in the future.

Co-authorship network of co-authors of Christopher J. Elson

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Elson. A scholar is included among the top collaborators of Christopher J. Elson 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 Christopher J. Elson. Christopher J. Elson 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.
Hall, Andrew M., Frank J. Ward, Chia‐Rui Shen, et al.. (2007). Deletion of the dominant autoantigen in NZB mice with autoimmune hemolytic anemia: effects on autoantibody and T-helper responses. Blood. 110(13). 4511–4517. 22 indexed citations
3.
4.
Sharif, Mohammed, John Kirwan, Christopher J. Elson, Raquel Granell, & Shane Clarke. (2004). Suggestion of nonlinear or phasic progression of knee osteoarthritis based on measurements of serum cartilage oligomeric matrix protein levels over five years. Arthritis & Rheumatism. 50(8). 2479–2488. 118 indexed citations
5.
Shen, Chia‐Rui, Abdel‐Rahman Youssef, Andrew M. Hall, et al.. (2003). Peptides containing a dominant T-cell epitope from red cell band 3 have in vivo immunomodulatory properties in NZB mice with autoimmune hemolytic anemia. Blood. 102(10). 3800–3806. 36 indexed citations
6.
Shen, Chia‐Rui, Frank J. Ward, P. Lowrey, et al.. (2002). Characterization of the Dominant Autoreactive T-cell Epitope in Spontaneous Autoimmune Haemolytic Anaemia of the NZB Mouse. Journal of Autoimmunity. 18(2). 149–157. 8 indexed citations
7.
Thompson, Stephen J., James N. Francis, L. Khai Siew, et al.. (1998). An Immunodominant Epitope from Mycobacterial 65-kDa Heat Shock Protein Protects Against Pristane-Induced Arthritis. The Journal of Immunology. 160(9). 4628–4634. 28 indexed citations
8.
Webb, Ginette R., et al.. (1998). Osteoarthritic synovial fluid and synovium supernatants up-regulate tumor necrosis factor receptors on human articular chondrocytes. Osteoarthritis and Cartilage. 6(3). 167–176. 41 indexed citations
9.
Webb, Ginette R., et al.. (1997). Chondrocyte tumor necrosis factor receptors and focal loss of cartilage in osteoarthritis. Osteoarthritis and Cartilage. 5(6). 427–437. 43 indexed citations
10.
Barker, Robert N., et al.. (1997). Identification of T-Cell Epitopes on the Rhesus Polypeptides in Autoimmune Hemolytic Anemia. Blood. 90(7). 2701–2715. 4 indexed citations
11.
Webb, Ginette R., et al.. (1997). Alteration of cartilage metabolism by cells from osteoarthritic bone. Arthritis & Rheumatism. 40(7). 1282–1291. 18 indexed citations
12.
Barker, Robert N., et al.. (1997). Identification of T-Cell Epitopes on the Rhesus Polypeptides in Autoimmune Hemolytic Anemia. Blood. 90(7). 2701–2715. 50 indexed citations
13.
Barker, Robert N., et al.. (1996). Autoreactive T cell specificity in autoimmune hemolytic anemia of the NZB mouse. European Journal of Immunology. 26(1). 136–141. 33 indexed citations
14.
Barker, Robert N. & Christopher J. Elson. (1994). Multiple self epitopes on the Rhesus polypeptides stimulate immunologically ignorant human T cells in vitro. European Journal of Immunology. 24(7). 1578–1582. 60 indexed citations
15.
Thompson, Stephen J. & Christopher J. Elson. (1993). Susceptibility to pristane-induced arthritis is altered with changes in bowel flora. Immunology Letters. 36(2). 227–231. 38 indexed citations
16.
Mazza, Graziella, et al.. (1993). The separation and identification by monoclonal antibodies of dog IgG fractions. Journal of Immunological Methods. 161(2). 193–203. 36 indexed citations
17.
Rook, G.A.W., et al.. (1990). Autoimmune reactions to heat‐shock proteins in pristane‐induced arthritis. European Journal of Immunology. 20(11). 2479–2484. 110 indexed citations
18.
Day, Michael, et al.. (1989). Expression and regulation of erythrocyte auto‐antibodies in mice following immunization with rat erythrocytes. European Journal of Immunology. 19(5). 795–801. 14 indexed citations
19.
Miller, Peter, et al.. (1987). Pharmacological modulation of erythrocyte autoimmune reactions in mice. International Journal of Immunopharmacology. 9(3). 341–348. 2 indexed citations
20.
Elson, Christopher J., et al.. (1986). Characterization of suppressor‐inducer cells which control the production of rat erythrocyte‐induced anti‐erythrocyte autoantibodies. European Journal of Immunology. 16(9). 1131–1136. 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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