Geoffrey W. Butcher

7.9k total citations · 2 hit papers
122 papers, 6.6k citations indexed

About

Geoffrey W. Butcher is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Geoffrey W. Butcher has authored 122 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Immunology, 40 papers in Molecular Biology and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Geoffrey W. Butcher's work include T-cell and B-cell Immunology (54 papers), Immune Cell Function and Interaction (44 papers) and Immunotherapy and Immune Responses (27 papers). Geoffrey W. Butcher is often cited by papers focused on T-cell and B-cell Immunology (54 papers), Immune Cell Function and Interaction (44 papers) and Immunotherapy and Immune Responses (27 papers). Geoffrey W. Butcher collaborates with scholars based in United Kingdom, United States and Germany. Geoffrey W. Butcher's co-authors include Jonathan C. Howard, G. Galfré, César Milstein, Sebastian Howe, Simon J. Powis, Edward V. Deverson, Audrey Larkins, Amanda Hutchings, Rüdiger Dörries and H. Imrich and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Geoffrey W. Butcher

120 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antibodies to major histocompatibility antigens produced by hybrid cell lines

1977 1.5k citations G. Galfré, Geoffrey W. Butcher et al. profile →
Isolation and direct characterization of resident microglial cells from the normal and inflamed central nervous system.

1991 588 citations Geoffrey W. Butcher et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoffrey W. Butcher United Kingdom	40	3.1k	2.6k	1.2k	661	610	122	6.6k
G. Galfré United Kingdom	30	3.0k 1.0×	3.8k 1.5×	3.7k 2.9×	509 0.8×	547 0.9×	48	8.4k
Richard Tizard United States	41	3.3k 1.1×	6.1k 2.3×	1.2k 0.9×	829 1.3×	1.7k 2.8×	56	11.8k
Magnus Abrahamson Sweden	52	707 0.2×	3.9k 1.5×	660 0.5×	696 1.1×	532 0.9×	178	9.4k
R. Duncan Campbell United Kingdom	40	2.9k 0.9×	2.7k 1.0×	468 0.4×	196 0.3×	1.0k 1.7×	84	6.0k
Michael Paskind United States	27	2.9k 0.9×	3.7k 1.4×	1.1k 0.9×	157 0.2×	765 1.3×	33	6.4k
Michael J. Hayman United States	44	1.4k 0.5×	3.9k 1.5×	613 0.5×	527 0.8×	1.6k 2.6×	152	6.8k
Claude Boucheix France	53	2.2k 0.7×	4.0k 1.5×	1.1k 0.9×	184 0.3×	641 1.1×	180	10.2k
Shuichi Yamada Japan	31	2.6k 0.9×	3.8k 1.5×	405 0.3×	362 0.5×	856 1.4×	99	7.8k
Frank R. Masiarz United States	39	890 0.3×	5.5k 2.1×	415 0.3×	521 0.8×	1000 1.6×	52	8.2k
Colin Watts United Kingdom	54	5.1k 1.7×	4.6k 1.8×	1.0k 0.8×	179 0.3×	1.0k 1.7×	165	11.3k

Countries citing papers authored by Geoffrey W. Butcher

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey W. Butcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey W. Butcher

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

All Works

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20 of 20 papers shown

Webb, Louise M. C., John C. Pascall, Lucy Hepburn, et al.. (2014). Generation and Characterisation of Mice Deficient in the Multi-GTPase Domain Containing Protein, GIMAP8. PLoS ONE. 9(10). e110294–e110294. 9 indexed citations

Gays, Frances, Farhana Hussain, Geoffrey W. Butcher, et al.. (2011). Mice Lacking Ly49E Show Normal NK Cell Development and Provide Evidence for Probabilistic Expression of Ly49E in NK Cells and T Cells. The Journal of Immunology. 186(4). 2013–2023. 4 indexed citations

Barnes, Michael J., Halil‐Ibrahim Aksoylar, Philippe Krebs, et al.. (2010). Loss of T Cell and B Cell Quiescence Precedes the Onset of Microbial Flora-Dependent Wasting Disease and Intestinal Inflammation in Gimap5-Deficient Mice. The Journal of Immunology. 184(7). 3743–3754. 50 indexed citations

Kveberg, Lise, Christian Naper, Bent Rolstad, et al.. (2010). Two complementary rat NK cell subsets, Ly49s3+ and NKR-P1B+, differ in phenotypic characteristics and responsiveness to cytokines. Journal of Leukocyte Biology. 88(1). 87–93. 29 indexed citations

Hedrich, Hans J., et al.. (2003). A Novel Instance of Class I Modification ( cim ) Affecting Two of Three Rat Class I RT1-A Molecules Within One MHC Haplotype. The Journal of Immunology. 171(1). 274–284. 6 indexed citations

Stevens, James & Geoffrey W. Butcher. (2003). Random Peptide Libraries: A Tool for Analyzing Peptide Specificity of Major Histocompatibility Complex Class I Molecules. Humana Press eBooks. 156. 187–199. 2 indexed citations

Rolstad, Bent, et al.. (2001). Rat natural killer cell receptor systems and recognition of MHC class I molecules. Immunological Reviews. 181(1). 149–157. 32 indexed citations

Nakamura, Mary C., Christian Naper, Eréne C. Niemi, et al.. (1999). Natural Killing of Xenogeneic Cells Mediated by the Mouse Ly-49D Receptor. The Journal of Immunology. 163(9). 4694–4700. 45 indexed citations

Leong, Louise, Edward V. Deverson, Simon J. Powis, et al.. (1999). RT1-U: Identification of a Novel, Active, Class Ib Alloantigen of the Rat MHC. The Journal of Immunology. 162(2). 743–752. 27 indexed citations

10.

Lambracht‐Washington, Doris, Hayase Shisa, Geoffrey W. Butcher, & Kirsten Fischer Lindahl. (1998). A polymorphic microsatellite marker in the rat major histocompatibility complex class I gene, RT1.M4 , and a new recombinant RT1 haplotype, r39. Immunogenetics. 48(6). 420–421. 4 indexed citations

11.

Fernández, Nelson & Geoffrey W. Butcher. (1997). MHC : a practical approach. Oxford University Press eBooks. 6 indexed citations

12.

Bhuyan, Prakash, LOUIS L. YOUNG, K F Lindahl, & Geoffrey W. Butcher. (1997). Identification of the rat maternally transmitted minor histocompatibility antigen. The Journal of Immunology. 158(8). 3753–3760. 37 indexed citations

13.

Franksson, Lars, et al.. (1993). Tumorigenicity conferred to lymphoma mutant by major histocompatibility complex-encoded transporter gene.. The Journal of Experimental Medicine. 177(1). 201–205. 52 indexed citations

14.

Powis, Simon J., Jonathan C. Howard, & Geoffrey W. Butcher. (1991). The major histocompatibility complex class II-linked cim locus controls the kinetics of intracellular transport of a classical class I molecule.. The Journal of Experimental Medicine. 173(4). 913–921. 42 indexed citations

15.

Livingstone, Alexandra M., Simon J. Powis, Austin G. Diamond, Geoffrey W. Butcher, & Jonathan C. Howard. (1989). A trans-acting major histocompatibility complex-linked gene whose alleles determine gain and loss changes in the antigenic structure of a classical class I molecule.. The Journal of Experimental Medicine. 170(3). 777–795. 80 indexed citations

16.

Bradley, Desmond, Elizabeth A. Wood, Audrey Larkins, et al.. (1988). Isolation of monoclonal antibodies reacting with peribacteriod membranes and other components of pea root nodules containing Rhizobium leguminosarum. Planta. 173(2). 149–160. 103 indexed citations

17.

Knox, John, Michael H. Beale, Geoffrey W. Butcher, & Jake MacMillan. (1987). Preparation and characterization of monoclonal antibodies which recognise different gibberellin epitopes. Planta. 170(1). 86–91. 17 indexed citations

18.

Brewin, N. J., Elizabeth A. Wood, Audrey Larkins, G. Galfré, & Geoffrey W. Butcher. (1986). Analysis of Lipopolysaccharide from Root Nodule Bacteroids of Rhizobium leguminosarum Using Monoclonal Antibodies. Microbiology. 132(7). 1959–1968. 35 indexed citations

19.

Brewin, N. J., John Robertson, Elizabeth A. Wood, et al.. (1985). Monoclonal antibodies to antigens in the peribacteroid membrane from Rhizobium -induced root nodules of pea cross-react with plasma membranes and Golgi bodies. The EMBO Journal. 4(3). 605–611. 65 indexed citations

20.

Butcher, Geoffrey W., J R Corvalán, D Licence, & Jonathan C. Howard. (1982). Immune response genes controlling responsiveness to major transplantation antigens. Specific major histocompatibility complex-linked defect for antibody responses to class I alloantigens.. The Journal of Experimental Medicine. 155(1). 303–320. 31 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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