C. M. Steel

7.0k total citations
148 papers, 4.7k citations indexed

About

C. M. Steel is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, C. M. Steel has authored 148 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 42 papers in Molecular Biology and 41 papers in Genetics. Recurrent topics in C. M. Steel's work include BRCA gene mutations in cancer (24 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and T-cell and B-cell Immunology (19 papers). C. M. Steel is often cited by papers focused on BRCA gene mutations in cancer (24 papers), Monoclonal and Polyclonal Antibodies Research (22 papers) and T-cell and B-cell Immunology (19 papers). C. M. Steel collaborates with scholars based in United Kingdom, United States and Norway. C. M. Steel's co-authors include Judith Evans, Brian Cohen, James Mackay, Alastair M. Thompson, Keith Guy, H.J. Evans, Veronica van Heyningen, M J Smith, David Deane and Hazem H. Mahmoud and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

C. M. Steel

148 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. M. Steel United Kingdom 38 1.6k 1.4k 1.1k 987 852 148 4.7k
Martin Haas United States 42 2.5k 1.6× 2.1k 1.6× 902 0.8× 904 0.9× 604 0.7× 160 6.3k
Albert Deisseroth United States 40 2.6k 1.7× 2.4k 1.7× 937 0.8× 1.0k 1.0× 502 0.6× 139 5.7k
Debra G. B. Leonard United States 36 2.0k 1.3× 1.2k 0.9× 1.3k 1.1× 891 0.9× 540 0.6× 85 4.7k
Paul A. Edwards United Kingdom 38 3.0k 2.0× 1.2k 0.9× 921 0.8× 553 0.6× 791 0.9× 128 5.2k
DW Golde United States 45 1.6k 1.0× 1.1k 0.8× 563 0.5× 2.4k 2.4× 477 0.6× 126 6.2k
A.A. Sandberg United States 38 1.6k 1.0× 857 0.6× 808 0.7× 330 0.3× 609 0.7× 134 4.5k
Beatrice C. Lampkin United States 38 2.4k 1.5× 1.2k 0.9× 769 0.7× 352 0.4× 581 0.7× 107 5.4k
F. Herrmann Germany 40 1.4k 0.9× 1.5k 1.1× 573 0.5× 2.3k 2.4× 360 0.4× 149 5.6k
Stefan Einhorn Sweden 36 1.1k 0.7× 1.3k 0.9× 350 0.3× 1.4k 1.4× 289 0.3× 107 3.4k
Paul E. Neiman United States 42 3.3k 2.1× 1.2k 0.9× 1.3k 1.2× 1.4k 1.4× 349 0.4× 90 7.0k

Countries citing papers authored by C. M. Steel

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Steel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. M. Steel. 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 C. M. Steel. The network helps show where C. M. Steel may publish in the future.

Co-authorship network of co-authors of C. M. Steel

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Steel. A scholar is included among the top collaborators of C. M. Steel 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 C. M. Steel. C. M. Steel 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.
Riches, Andrew, Peter E. Bryant, C. M. Steel, et al.. (2001). Chromosomal radiosensitivity in G2-phase lymphocytes identifies breast cancer patients with distinctive tumour characteristics. British Journal of Cancer. 85(8). 1157–1161. 90 indexed citations
2.
Morrison, Patrick J., C. M. Steel, N. C. Nevin, et al.. (2000). Insurance considerations for individuals with a high risk of breast cancer in Europe:Some recommendations. Research Explorer (The University of Manchester). 3 indexed citations
3.
Young, Irene, Kathreena M. Kurian, I. Kunkler, et al.. (2000). A polymorphic tetranucleotide repeat in the CYP19 gene and male breast cancer. British Journal of Cancer. 82(7). 1247–1248. 4 indexed citations
4.
Steel, C. M.. (1994). Identification and characterisation of cancer genes. British Medical Bulletin. 50(3). 536–559. 4 indexed citations
5.
Porter, D. & C. M. Steel. (1993). Recent Advances In The Genetics Of Heritable Breast Cancer. Disease Markers. 11(1). 11–21. 4 indexed citations
6.
Middleton, Peter G., Shannon C. Miller, Jeffrey A. Ross, C. M. Steel, & Keith Guy. (1992). Insertion of SMRV‐H viral DNA at the c‐myc gene locus of a BL cell line and presence in established cell lines. International Journal of Cancer. 52(3). 451–454. 15 indexed citations
7.
Prosser, J., D. Porter, Christopher Coles, et al.. (1992). Constitutional p53 mutation in a non-Li-Fraumeni cancer family. British Journal of Cancer. 65(4). 527–528. 44 indexed citations
8.
Eccles, Diana, et al.. (1992). Allele loss on chromosome 11p is associated with poor survival in ovarian cancer.. PubMed. 10(2). 95–9. 17 indexed citations
9.
Thompson, Alastair M., Thomas Anderson, Alison Condie, et al.. (1992). p53 allele losses, mutations and expression in breast cancer and their relationship to clinico‐pathological parameters. International Journal of Cancer. 50(4). 528–532. 134 indexed citations
10.
Coles, Christopher, Alastair M. Thompson, Brian Cohen, et al.. (1990). Evidence implicating at least two genes on chromosome 17p in breast carcinogenesis. The Lancet. 336(8718). 761–763. 178 indexed citations
11.
Steel, C. M. & David A. Hutchins. (1989). Soluble factors and cell-surface molecules involved in human B lymphocyte activation, growth and differentiation. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 989(2). 133–151. 11 indexed citations
12.
Mackay, James, et al.. (1988). ALLELE LOSS ON SHORT ARM OF CHROMOSOME 17 IN BREAST CANCERS. The Lancet. 332(8625). 1384–1385. 214 indexed citations
13.
Steel, C. M., R Cuthbert, Helen Morrison, et al.. (1988). HLA HAPLOTYPE A1 B8 DR3 AS A RISK FACTOR FOR HIV-RELATED DISEASE. The Lancet. 331(8596). 1185–1188. 173 indexed citations
14.
Crichton, David, et al.. (1985). The production and assessment of monoclonal antibodies to cortisol. Steroids. 45(6). 503–517. 16 indexed citations
15.
Ziegler, Anette‐Gabriele, et al.. (1984). Disparity in HLA-DC antigen expression on chronic lymphocytic leukaemia cells. UCL Discovery (University College London). 1 indexed citations
16.
Deane, David, et al.. (1984). Correlation between tumorigenicity and altered glycosylation of a “leukocyte common” antigen in human lymphoid cell lines. International Journal of Cancer. 34(4). 459–462. 7 indexed citations
17.
McIntosh, Ruaraidh D., Brian Cohen, & C. M. Steel. (1984). The use of detergents in velocity sedimentation of cell culture IgM. Journal of Immunological Methods. 74(1). 59–64. 2 indexed citations
18.
Steel, C. M., et al.. (1977). Possibility of EB virus preferentially transforming a subpopulation of human B lymphocytes. Nature. 270(5639). 729–731. 60 indexed citations
19.
Hardy, D. A. & C. M. Steel. (1971). Cytotoxic potential of lymphocytes stimulated with autochthonous lymphoid cell line cells. Cellular and Molecular Life Sciences. 27(11). 1336–1338. 13 indexed citations
20.
Steel, C. M. & E. Edmond. (1971). Human Lymphoblastoid Cell Lines. I. Culture Methods and Examination for Epstein-Barr Virus. JNCI Journal of the National Cancer Institute. 47(6). 1193–201. 20 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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