Ander Izeta

4.0k total citations · 1 hit paper
90 papers, 2.8k citations indexed

About

Ander Izeta is a scholar working on Molecular Biology, Urology and Genetics. According to data from OpenAlex, Ander Izeta has authored 90 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Urology and 18 papers in Genetics. Recurrent topics in Ander Izeta's work include Viral gastroenteritis research and epidemiology (16 papers), Animal Virus Infections Studies (15 papers) and Virus-based gene therapy research (13 papers). Ander Izeta is often cited by papers focused on Viral gastroenteritis research and epidemiology (16 papers), Animal Virus Infections Studies (15 papers) and Virus-based gene therapy research (13 papers). Ander Izeta collaborates with scholars based in Spain, Germany and United Kingdom. Ander Izeta's co-authors include Luis Enjuanes, Francisco Jiménez, Enrique Poblet, Juan Plana-Durán, Zoltán Pénzes, Sara Alonso, Isabel Sola, José M. González, Fernando Almazán and Enrique Calvo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Ander Izeta

89 papers receiving 2.7k citations

Hit Papers

Elastin and collagen fibres in cutaneous wound healing 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ander Izeta Spain 32 842 667 662 464 416 90 2.8k
M. Lynch United States 21 407 0.5× 157 0.2× 502 0.8× 231 0.5× 212 0.5× 45 2.2k
Akira Takeda Japan 23 185 0.2× 43 0.1× 678 1.0× 313 0.7× 162 0.4× 146 2.5k
Toshihiko Hayashi Japan 30 311 0.4× 36 0.1× 618 0.9× 129 0.3× 455 1.1× 222 3.4k
Yaozhong Ding China 38 377 0.4× 271 0.4× 1.8k 2.7× 54 0.1× 887 2.1× 110 5.9k
Eleuterio Lombardo Spain 24 222 0.3× 121 0.2× 771 1.2× 89 0.2× 324 0.8× 47 2.6k
Paul Mozdziak United States 36 47 0.1× 490 0.7× 1.9k 2.8× 71 0.2× 602 1.4× 190 4.1k
Kaitlyn Sadtler United States 20 343 0.4× 69 0.1× 1.2k 1.8× 96 0.2× 173 0.4× 40 3.0k
Gunnar Kratz Sweden 32 107 0.1× 29 0.0× 769 1.2× 267 0.6× 217 0.5× 85 2.9k
Marion Hewicker‐Trautwein Germany 27 218 0.3× 228 0.3× 445 0.7× 35 0.1× 309 0.7× 201 2.5k
Muzlifah Haniffa United Kingdom 37 299 0.4× 24 0.0× 1.3k 2.0× 79 0.2× 228 0.5× 89 5.7k

Countries citing papers authored by Ander Izeta

Since Specialization
Citations

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

Fields of papers citing papers by Ander Izeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ander Izeta

This figure shows the co-authorship network connecting the top 25 collaborators of Ander Izeta. A scholar is included among the top collaborators of Ander Izeta 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 Ander Izeta. Ander Izeta 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.
Henriksen‐Lacey, Malou, Clara García‐Astrain, Dorleta Jiménez de Aberasturi, et al.. (2024). Biofabrication and Monitoring of a 3D Printed Skin Model for Melanoma. Advanced Healthcare Materials. 13(27). e2401136–e2401136. 10 indexed citations
2.
Izeta, Ander, et al.. (2024). Elastin and collagen fibres in cutaneous wound healing. Experimental Dermatology. 33(3). e15052–e15052. 62 indexed citations breakdown →
3.
Izeta, Ander, et al.. (2024). Time is ticking faster for long genes in aging. Trends in Genetics. 40(4). 299–312. 14 indexed citations
4.
Izeta, Ander & Natividad Cuende. (2023). Regulation of advanced therapies in Europe: Are we on the right track?. Cell stem cell. 30(8). 1013–1016. 10 indexed citations
5.
Izeta, Ander, et al.. (2023). Progenitor Cell Sources for 3D Bioprinting of Lymphatic Vessels and Potential Clinical Application. Tissue Engineering Part A. 30(13-14). 353–366. 2 indexed citations
6.
García‐Astrain, Clara, et al.. (2023). 3D bioprinted breast tumor-stroma models for pre-clinical drug testing. Materials Today Bio. 23. 100826–100826. 23 indexed citations
7.
Araúzo‐Bravo, Marcos J., et al.. (2022). Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology. Life. 12(1). 67–67. 7 indexed citations
9.
Inza, Iñaki, et al.. (2022). Triku: a feature selection method based on nearest neighbors for single-cell data. GigaScience. 11. 12 indexed citations
10.
Izeta, Ander, et al.. (2020). Human Dermal Fibroblast Subpopulations Are Conserved across Single-Cell RNA Sequencing Studies. Journal of Investigative Dermatology. 141(7). 1735–1744.e35. 74 indexed citations
11.
Zabaleta, Jon, et al.. (2019). <p>Creation of a multidisciplinary and multicenter study group for the use of 3D printing in general thoracic surgery: lessons learned in our first year experience</p>. Medical Devices Evidence and Research. Volume 12. 143–149. 11 indexed citations
12.
Goicoechea, María, Isabel M. Aragón, Bernardo Herrera‐Imbroda, et al.. (2019). Isolation and characterization of myogenic precursor cells from human cremaster muscle. Scientific Reports. 9(1). 3454–3454. 9 indexed citations
13.
Hart, Melanie L., Ander Izeta, Bernardo Herrera‐Imbroda, Bastian Amend, & Jan E. Brinchmann. (2015). Cell Therapy for Stress Urinary Incontinence. Tissue Engineering Part B Reviews. 21(4). 365–376. 42 indexed citations
14.
Jiménez, Francisco, Enrique Poblet, & Ander Izeta. (2014). Reflections on how wound healing‐promoting effects of the hair follicle can be translated into clinical practice. Experimental Dermatology. 24(2). 91–94. 46 indexed citations
15.
Padín, Juan Fernando, María Goicoechea, Ana Aiastui, et al.. (2013). Murine Muscle Engineered from Dermal Precursors: An In Vitro Model for Skeletal Muscle Generation, Degeneration, and Fatty Infiltration. Tissue Engineering Part C Methods. 20(1). 28–41. 9 indexed citations
16.
Cavaliere, Fabio, et al.. (2012). Modeling neural differentiation on micropatterned substrates coated with neural matrix components. Frontiers in Cellular Neuroscience. 6. 10–10. 19 indexed citations
17.
Cuende, Natividad & Ander Izeta. (2010). Clinical Translation of Stem Cell Therapies: A Bridgeable Gap. Cell stem cell. 6(6). 508–512. 42 indexed citations
18.
Bayram, Ersin, et al.. (1998). [Guidelines and recommendations of the Mexican Society of Cardiology concerning training in nuclear cardiology].. PubMed. 67(5). 442–5. 1 indexed citations
19.
Pénzes, Zoltán, et al.. (1998). Progress Towards the Construction of a Transmissible Gastroenteritis Coronavirus Self-Replicating RNA Using a Two-Layer Expression System. Advances in experimental medicine and biology. 440. 319–325. 5 indexed citations
20.
Méndez, Ana, Cristian Smerdou, Fátima Gebauer, Ander Izeta, & Luis Enjuanes. (1995). Structure and Encapsidation of Transmissible Gastroenteritis Coronavirus (TGEV) Defective Interfering Genomes. Advances in experimental medicine and biology. 380. 583–589. 1 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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