Beatriz Goyenechea

2.6k total citations · 1 hit paper
15 papers, 1.9k citations indexed

About

Beatriz Goyenechea is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Beatriz Goyenechea has authored 15 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Beatriz Goyenechea's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA modifications and cancer (4 papers). Beatriz Goyenechea is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA modifications and cancer (4 papers). Beatriz Goyenechea collaborates with scholars based in United Kingdom, Canada and France. Beatriz Goyenechea's co-authors include Peter Fraser, Lyubomira Chakalova, Cameron S. Osborne, Jennifer A. Mitchell, Emmanuel Debrand, Alice Horton, David Carter, Karen Brown, Susana M. Chuva de Sousa Lopes and Wolf Reik 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

Beatriz Goyenechea

15 papers receiving 1.9k citations

Hit Papers

Active genes dynamically colocalize to shared sites of on... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Goyenechea United Kingdom 13 1.4k 559 519 200 164 15 1.9k
Daniel J. Bolland United Kingdom 16 1.2k 0.9× 803 1.4× 187 0.4× 159 0.8× 128 0.8× 22 1.9k
Christian Vettermann United States 19 905 0.7× 550 1.0× 639 1.2× 139 0.7× 51 0.3× 36 1.7k
Anne Bothmer United States 14 1.5k 1.1× 553 1.0× 219 0.4× 54 0.3× 144 0.9× 18 2.0k
Karla A. Henning United States 12 1.0k 0.7× 704 1.3× 229 0.4× 129 0.6× 115 0.7× 23 1.9k
Caroline J. Woo United States 11 991 0.7× 559 1.0× 143 0.3× 137 0.7× 62 0.4× 11 1.5k
Srividya Swaminathan United States 17 1.1k 0.8× 323 0.6× 361 0.7× 58 0.3× 56 0.3× 42 1.6k
J A Lautenberger United States 11 789 0.6× 302 0.5× 256 0.5× 53 0.3× 70 0.4× 17 1.2k
Anna Morena D’Alise Italy 19 866 0.6× 592 1.1× 349 0.7× 71 0.4× 88 0.5× 42 1.7k
Éric Soler France 23 1.3k 1.0× 259 0.5× 230 0.4× 30 0.1× 169 1.0× 42 1.7k
Jacques Bollekens United States 14 983 0.7× 265 0.5× 275 0.5× 26 0.1× 78 0.5× 18 1.5k

Countries citing papers authored by Beatriz Goyenechea

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Goyenechea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Goyenechea

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

All Works

15 of 15 papers shown
1.
Debrand, Emmanuel, Lyubomira Chakalova, Yanfeng Dai, et al.. (2019). An intergenic non-coding RNA promoter required for histone modifications in the human β-globin chromatin domain. PLoS ONE. 14(8). e0217532–e0217532. 3 indexed citations
2.
Salimu, Josephine, Pascal Merchiers, Beatriz Goyenechea, et al.. (2018). Abstract 2787: Generation of first-in-class anti-CD25 antibodies depleting Treg without interfering with IL2 signalling for cancer therapies. Cancer Research. 78(13_Supplement). 2787–2787. 1 indexed citations
3.
Finch, Andrew J., Christine Hilcenko, Nicolas Basse, et al.. (2011). 38 Uncoupling of GTP hydrolysis from eIF6 release on the ribosome causes Shwachman-Diamond syndrome. Leukemia Research. 35. S13–S13. 18 indexed citations
4.
Finch, Andrew J., Christine Hilcenko, Nicolas Basse, et al.. (2011). Uncoupling of GTP hydrolysis from eIF6 release on the ribosome causes Shwachman-Diamond syndrome. Genes & Development. 25(9). 917–929. 200 indexed citations
5.
Mitchell, Jennifer A., Lyubomira Chakalova, Beatriz Goyenechea, et al.. (2007). Intergenic Transcription, Cell-Cycle and the Developmentally Regulated Epigenetic Profile of the Human Beta-Globin Locus. PLoS ONE. 2(7). e630–e630. 39 indexed citations
6.
Menne, Tobias, Beatriz Goyenechea, Nuria Sánchez‐Puig, et al.. (2007). The Shwachman-Bodian-Diamond syndrome protein mediates translational activation of ribosomes in yeast. Nature Genetics. 39(4). 486–495. 250 indexed citations
7.
Menne, Tobias, Christine Hilcenko, Beatriz Goyenechea, et al.. (2005). Structural and Mutational Analysis of the SBDS Protein Family. Journal of Biological Chemistry. 280(19). 19221–19229. 90 indexed citations
8.
Chakalova, Lyubomira, David Carter, Emmanuel Debrand, et al.. (2005). Developmental Regulation of the β-Globin Gene Locus. Progress in molecular and subcellular biology. 38. 183–206. 21 indexed citations
9.
Osborne, Cameron S., Lyubomira Chakalova, Karen Brown, et al.. (2004). Active genes dynamically colocalize to shared sites of ongoing transcription. Nature Genetics. 36(10). 1065–1071. 781 indexed citations breakdown →
10.
Chakalova, Lyubomira, Cameron S. Osborne, Yanfeng Dai, et al.. (2004). The Corfu δβ thalassemia deletion disrupts γ-globin gene silencing and reveals post-transcriptional regulation of HbF expression. Blood. 105(5). 2154–2160. 65 indexed citations
11.
Nicholson, I., Xiangang Zou, А. В. Попов, et al.. (1999). Antibody Repertoires of Four- and Five-Feature Translocus Mice Carrying Human Immunoglobulin Heavy Chain and κ and λ Light Chain Yeast Artificial Chromosomes. The Journal of Immunology. 163(12). 6898–6906. 39 indexed citations
12.
Nicholson, I., Xiangang Zou, А. В. Попов, et al.. (1999). Antibody repertoires of four- and five-feature translocus mice carrying human immunoglobulin heavy chain and kappa and lambda light chain yeast artificial chromosomes.. PubMed. 163(12). 6898–906. 43 indexed citations
13.
Goyenechea, Beatriz, Norman Klix, José Yélamos, et al.. (1997). Cells strongly expressing Igκ transgenes show clonal recruitment of hypermutation: a role for both MAR and the enhancers. The EMBO Journal. 16(13). 3987–3994. 93 indexed citations
14.
Goyenechea, Beatriz & César Milstein. (1996). Modifying the sequence of an immunoglobulin V-gene alters the resulting pattern of hypermutation. Proceedings of the National Academy of Sciences. 93(24). 13979–13984. 57 indexed citations
15.
Klix, Norman, Beatriz Goyenechea, Francisco Lozano, et al.. (1995). Targeting of non-lg sequences in place of the V segment by somatic hyper mutation. Nature. 376(6537). 225–229. 196 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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