Matthew I. J. Raybould

2.0k total citations
23 papers, 874 citations indexed

About

Matthew I. J. Raybould is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Matthew I. J. Raybould has authored 23 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Matthew I. J. Raybould's work include Monoclonal and Polyclonal Antibodies Research (18 papers), vaccines and immunoinformatics approaches (9 papers) and T-cell and B-cell Immunology (7 papers). Matthew I. J. Raybould is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), vaccines and immunoinformatics approaches (9 papers) and T-cell and B-cell Immunology (7 papers). Matthew I. J. Raybould collaborates with scholars based in United Kingdom, United States and Switzerland. Matthew I. J. Raybould's co-authors include Charlotte M. Deane, Claire Marks, Aleksandr Kovaltsuk, Jiye Shi, Alan P. Lewis, Alexander Bujotzek, Bruck Taddese, Constantin Schneider, Konrad Krawczyk and Jarosław Nowak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Matthew I. J. Raybould

21 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew I. J. Raybould United Kingdom 14 655 618 249 163 53 23 874
Claire Marks United Kingdom 12 747 1.1× 653 1.1× 278 1.1× 183 1.1× 64 1.2× 16 975
Jinwoo Leem United Kingdom 12 916 1.4× 806 1.3× 359 1.4× 78 0.5× 84 1.6× 17 1.2k
Cédric R. Weber Switzerland 15 629 1.0× 446 0.7× 439 1.8× 134 0.8× 124 2.3× 21 953
Aleksandr Kovaltsuk United Kingdom 11 414 0.6× 375 0.6× 231 0.9× 151 0.9× 20 0.4× 15 587
Alec A. Desai United States 11 342 0.5× 327 0.5× 85 0.3× 110 0.7× 54 1.0× 24 567
A. V. Kolesnikov Russia 12 297 0.5× 303 0.5× 195 0.8× 62 0.4× 27 0.5× 51 587
Jordan R. Willis United States 13 339 0.5× 289 0.5× 310 1.2× 56 0.3× 43 0.8× 17 658
D. Lutje Hulsik Netherlands 14 351 0.5× 232 0.4× 204 0.8× 61 0.4× 35 0.7× 21 620
Heather Lynaugh United States 15 971 1.5× 842 1.4× 206 0.8× 32 0.2× 101 1.9× 19 1.1k
Emily K. Makowski United States 15 347 0.5× 357 0.6× 83 0.3× 71 0.4× 49 0.9× 22 480

Countries citing papers authored by Matthew I. J. Raybould

Since Specialization
Citations

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

Fields of papers citing papers by Matthew I. J. Raybould

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew I. J. Raybould. 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 Matthew I. J. Raybould. The network helps show where Matthew I. J. Raybould may publish in the future.

Co-authorship network of co-authors of Matthew I. J. Raybould

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew I. J. Raybould. A scholar is included among the top collaborators of Matthew I. J. Raybould 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 Matthew I. J. Raybould. Matthew I. J. Raybould 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.
Abanades, Brennan, et al.. (2025). T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity. Communications Biology. 8(1). 362–362. 6 indexed citations
2.
Lulla, Aleksei, Matthew I. J. Raybould, Timo N. Kohler, et al.. (2024). Rapid discovery of monoclonal antibodies by microfluidics-enabled FACS of single pathogen-specific antibody-secreting cells. Nature Biotechnology. 43(6). 960–970. 10 indexed citations
3.
Gordon, G., et al.. (2024). Prospects for the computational humanization of antibodies and nanobodies. Frontiers in Immunology. 15. 1399438–1399438. 17 indexed citations
4.
Raybould, Matthew I. J., et al.. (2024). The Observed T Cell Receptor Space database enables paired-chain repertoire mining, coherence analysis, and language modeling. Cell Reports. 43(9). 114704–114704. 7 indexed citations
5.
Raybould, Matthew I. J., et al.. (2024). Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling. Communications Biology. 7(1). 62–62. 14 indexed citations
6.
Dingfelder, Fabian, Jais Rose Bjelke, S. Grell, et al.. (2024). A comparative study of the developability of full-length antibodies, fragments, and bispecific formats reveals higher stability risks for engineered constructs. mAbs. 16(1). 2403156–2403156. 5 indexed citations
7.
Raybould, Matthew I. J., et al.. (2024). The protein universe in 3D. Nature Chemical Biology. 21(1). 27–28.
8.
Theorell, Jakob, Matthew I. J. Raybould, Meng Zhao, et al.. (2024). Ultrahigh frequencies of peripherally matured LGI1- and CASPR2-reactive B cells characterize the cerebrospinal fluid in autoimmune encephalitis. Proceedings of the National Academy of Sciences. 121(7). e2311049121–e2311049121. 18 indexed citations
9.
Abanades, Brennan, Tobias Hegelund Olsen, Matthew I. J. Raybould, et al.. (2023). The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures. Nucleic Acids Research. 52(D1). D545–D551. 20 indexed citations
10.
Raybould, Matthew I. J., Daniel A. Nissley, Sandeep Kumar, & Charlotte M. Deane. (2023). Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies. Frontiers in Immunology. 13. 1080596–1080596. 7 indexed citations
11.
Abanades, Brennan, et al.. (2023). Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind to the same epitope. Frontiers in Molecular Biosciences. 10. 1237621–1237621. 10 indexed citations
12.
Raybould, Matthew I. J. & Charlotte M. Deane. (2021). The Therapeutic Antibody Profiler for Computational Developability Assessment. Methods in molecular biology. 2313. 115–125. 13 indexed citations
13.
Raybould, Matthew I. J., Claire Marks, Aleksandr Kovaltsuk, et al.. (2021). Public Baseline and shared response structures support the theory of antibody repertoire functional commonality. PLoS Computational Biology. 17(3). e1008781–e1008781. 21 indexed citations
14.
Raybould, Matthew I. J., et al.. (2021). Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies. PLoS Computational Biology. 17(12). e1009675–e1009675. 31 indexed citations
15.
Raybould, Matthew I. J., Anthony R. Rees, & Charlotte M. Deane. (2021). Current strategies for detecting functional convergence across B-cell receptor repertoires. mAbs. 13(1). 1996732–1996732. 20 indexed citations
16.
Raybould, Matthew I. J., Aleksandr Kovaltsuk, Claire Marks, & Charlotte M. Deane. (2020). CoV-AbDab: the coronavirus antibody database. Bioinformatics. 37(5). 734–735. 209 indexed citations
17.
Kovaltsuk, Aleksandr, Matthew I. J. Raybould, Wing Ki Wong, et al.. (2020). Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice. PLoS Computational Biology. 16(2). e1007636–e1007636. 24 indexed citations
18.
Raybould, Matthew I. J., Claire Marks, Alan P. Lewis, et al.. (2019). Thera-SAbDab: the Therapeutic Structural Antibody Database. Nucleic Acids Research. 48(D1). D383–D388. 108 indexed citations
19.
Raybould, Matthew I. J., Claire Marks, Konrad Krawczyk, et al.. (2019). Five computational developability guidelines for therapeutic antibody profiling. Proceedings of the National Academy of Sciences. 116(10). 4025–4030. 218 indexed citations
20.
Krawczyk, Konrad, Matthew I. J. Raybould, Aleksandr Kovaltsuk, & Charlotte M. Deane. (2019). Looking for therapeutic antibodies in next-generation sequencing repositories. mAbs. 11(7). 1197–1205. 25 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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