Joan Boyes

3.8k total citations · 3 hit papers
29 papers, 3.2k citations indexed

About

Joan Boyes is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Joan Boyes has authored 29 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Immunology and 4 papers in Genetics. Recurrent topics in Joan Boyes's work include Genomics and Chromatin Dynamics (11 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (7 papers). Joan Boyes is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (7 papers). Joan Boyes collaborates with scholars based in United Kingdom, United States and Austria. Joan Boyes's co-authors include Adrian Bird, Francisco Antequera, PETER G. H. BYFIELD, Vasily Ogryzko, Gary Felsenfeld, Jin Ho Chung, David J. Clark, Vasily M. Studitsky, Fraser McBlane and Sarah L. Bevington and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Joan Boyes

28 papers receiving 3.1k citations

Hit Papers

High levels of De Novo methylation and altered chromatin ... 1990 2026 2002 2014 1990 1998 1991 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Boyes United Kingdom 15 2.7k 694 383 287 220 29 3.2k
Chih‐Lin Hsieh United States 33 3.6k 1.4× 988 1.4× 321 0.8× 333 1.2× 212 1.0× 77 4.2k
Chih-Lin Hsieh United States 22 3.2k 1.2× 841 1.2× 586 1.5× 248 0.9× 253 1.1× 25 3.9k
Aleyde Van Eynde Belgium 27 3.3k 1.2× 397 0.6× 212 0.6× 317 1.1× 132 0.6× 52 3.9k
Mark Samuels United States 27 2.4k 0.9× 779 1.1× 226 0.6× 156 0.5× 131 0.6× 48 3.2k
Jun Shinga Japan 19 2.0k 0.7× 549 0.8× 304 0.8× 216 0.8× 115 0.5× 28 2.4k
Aengus Stewart United Kingdom 31 2.5k 0.9× 585 0.8× 253 0.7× 268 0.9× 170 0.8× 41 3.1k
Alon Goren United States 21 3.3k 1.2× 506 0.7× 436 1.1× 245 0.9× 193 0.9× 35 4.0k
Irina Issaeva Israel 11 2.4k 0.9× 455 0.7× 255 0.7× 197 0.7× 79 0.4× 13 2.9k
Elena Klenova United Kingdom 31 2.8k 1.0× 937 1.4× 378 1.0× 433 1.5× 231 1.1× 47 3.3k
Saı̈d Sif United States 36 5.4k 2.0× 549 0.8× 563 1.5× 542 1.9× 164 0.7× 58 6.0k

Countries citing papers authored by Joan Boyes

Since Specialization
Citations

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

Fields of papers citing papers by Joan Boyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Boyes

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Boyes. A scholar is included among the top collaborators of Joan Boyes 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 Joan Boyes. Joan Boyes 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.
Scott, James N., Matthew Edwards, Xiaoling Wang, et al.. (2025). Excised DNA circles from V(D)J recombination promote relapsed leukaemia. Nature. 645(8081). 774–783.
2.
Scott, James N., et al.. (2023). Temporal analyses reveal a pivotal role for sense and antisense enhancer RNAs in coordinate immunoglobulin lambda locus activation. Nucleic Acids Research. 51(19). 10344–10363. 1 indexed citations
3.
Burke, Matthew J., James N. Scott, Iain W. Manfield, et al.. (2022). A bovine antibody possessing an ultralong complementarity-determining region CDRH3 targets a highly conserved epitope in sarbecovirus spike proteins. Journal of Biological Chemistry. 298(12). 102624–102624. 7 indexed citations
4.
Rangel-Santos, Andréia, Krisztián Csomós, Boglárka Ujházi, et al.. (2019). Combined Immunodeficiency With Late-Onset Progressive Hypogammaglobulinemia and Normal B Cell Count in a Patient With RAG2 Deficiency. Frontiers in Pediatrics. 7. 122–122. 6 indexed citations
5.
Scott, James N., et al.. (2019). The ESC: The Dangerous By-Product of V(D)J Recombination. Frontiers in Immunology. 10. 1572–1572. 3 indexed citations
6.
Scott, James N., Xiaoling Wang, Anthony M. Ford, et al.. (2019). Cut-and-Run: A Distinct Mechanism by which V(D)J Recombination Causes Genome Instability. Molecular Cell. 74(3). 584–597.e9. 17 indexed citations
7.
Stockley, Peter G., et al.. (2014). Oncogene dependency and the potential of targeted RNAi-based anti-cancer therapy. Biochemical Journal. 461(1). 1–13. 15 indexed citations
8.
Bevington, Sarah L. & Joan Boyes. (2013). Transcription-coupled eviction of histones H2A/H2B governs V(D)J recombination. The EMBO Journal. 32(10). 1381–1392. 33 indexed citations
9.
Bevington, Sarah L., et al.. (2013). The Eλ3–1 enhancer is essential for V(D)J recombination of the murine immunoglobulin lambda light chain locus. Biochemical and Biophysical Research Communications. 441(2). 482–487. 3 indexed citations
10.
Thonel, Aurélie de, David Lanneau, S. Selvakumar, et al.. (2010). HSP27 controls GATA-1 protein level during erythroid cell differentiation. Blood. 116(1). 85–96. 60 indexed citations
11.
Boyes, Joan, et al.. (2007). Chromatin opening is tightly linked to enhancer activation at the κ light chain locus. Biochemical and Biophysical Research Communications. 363(1). 223–228. 4 indexed citations
12.
Nightingale, Karl P., Matthias Baumann, Anton Eberharter, et al.. (2007). Acetylation increases access of remodelling complexes to their nucleosome targets to enhance initiation of V(D)J recombination. Nucleic Acids Research. 35(18). 6311–6321. 18 indexed citations
13.
Hernández‐Hernández, Ángel, Pampa Ray, Marco Cirò, et al.. (2006). Acetylation and MAPK phosphorylation cooperate to regulate the degradation of active GATA‐1. The EMBO Journal. 25(14). 3264–3274. 81 indexed citations
14.
McBlane, Fraser & Joan Boyes. (2000). Stimulation of V(D)J recombination by histone acetylation. Current Biology. 10(8). 483–486. 100 indexed citations
15.
Boyes, Joan, et al.. (1998). Regulation of activity of the transcription factor GATA-1 by acetylation. Nature. 396(6711). 594–598. 611 indexed citations breakdown →
16.
Bell, Adam C., Joan Boyes, Jay H. Chung, et al.. (1998). The Establishment of Active Chromatin Domains. Cold Spring Harbor Symposia on Quantitative Biology. 63(0). 509–514. 7 indexed citations
17.
Boyes, Joan, James G. Omichinski, David Clark, Michael J. Pikaart, & Gary Felsenfeld. (1998). Perturbation of nucleosome structure by the erythroid transcription factor GATA-1. Journal of Molecular Biology. 279(3). 529–544. 54 indexed citations
18.
Boyes, Joan & Adrian Bird. (1992). Repression of genes by DNA methylation depends on CpG density and promoter strength: evidence for involvement of a methyl-CpG binding protein.. The EMBO Journal. 11(1). 327–333. 404 indexed citations
19.
Boyes, Joan & Adrian Bird. (1991). DNA methylation inhibits transcription indirectly via a methyl-CpG binding protein. Cell. 64(6). 1123–1134. 599 indexed citations breakdown →
20.
Antequera, Francisco, Joan Boyes, & Adrian Bird. (1990). High levels of De Novo methylation and altered chromatin structure at CpG islands in cell lines. Cell. 62(3). 503–514. 613 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026