Beatriz Goyenechea
- Molecular Biology top 5%
- Immunology top 5%
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Plant Science
- Co-authors
- Lyubomira ChakalovaCameron S. OsbornePeter FraserJennifer A. MitchellAlice HortonEmmanuel DebrandDavid CarterSusana M. Chuva de Sousa Lopes
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Glycosylation and Glycoproteins Research (4 papers)RNA modifications and cancer (4 papers)
- Cited by
- ImmunologyMolecular BiologyGenetics
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Beatriz Goyenechea
15 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Biology 1.4k
- Immunology 559
- Genetics 519
- Radiology, Nuclear Medicine and Imaging 200
- Plant Science 164
Countries citing papers authored by Beatriz Goyenechea
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 200 | |
| 5 | 39 | |
| 6 | 250 | |
| 7 | 90 | |
| 8 | 21 | |
| 9 | Active genes dynamically colocalize to shared sites of ongoing transcriptionbreakdown → | 781 |
| 10 | 65 | |
| 11 | 39 | |
| 12 | Antibody repertoires of four- and five-feature translocus mice carrying human immunoglobulin heavy chain and kappa and lambda light chain yeast artificial chromosomes. | 43 |
| 13 | 93 | |
| 14 | 57 | |
| 15 | 196 |
About Beatriz Goyenechea
Beatriz Goyenechea is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Hematology, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Immunology (559 citations), Molecular Biology (1.4k citations) and Genetics (519 citations). Beatriz Goyenechea has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Lyubomira Chakalova, Cameron S. Osborne, Peter Fraser, Jennifer A. Mitchell, Alice Horton, Emmanuel Debrand, David Carter, Susana M. Chuva de Sousa Lopes, Karen Brown and Wolf Reik. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.