Manuel Serrano

76.0k total citations · 18 hit papers
271 papers, 52.5k citations indexed

About

Manuel Serrano is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Manuel Serrano has authored 271 papers receiving a total of 52.5k indexed citations (citations by other indexed papers that have themselves been cited), including 193 papers in Molecular Biology, 83 papers in Physiology and 80 papers in Oncology. Recurrent topics in Manuel Serrano's work include Cancer-related Molecular Pathways (69 papers), Telomeres, Telomerase, and Senescence (61 papers) and Epigenetics and DNA Methylation (33 papers). Manuel Serrano is often cited by papers focused on Cancer-related Molecular Pathways (69 papers), Telomeres, Telomerase, and Senescence (61 papers) and Epigenetics and DNA Methylation (33 papers). Manuel Serrano collaborates with scholars based in Spain, United States and United Kingdom. Manuel Serrano's co-authors include Marı́a A. Blasco, Guido Kroemer, Carlos López-Otı́n, Linda Partridge, Manuel Collado, David Beach, Daniel Muñoz‐Espín, Gregory J. Hannon, Athena W. Lin and Mila E. McCurrach and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Manuel Serrano

267 papers receiving 51.8k citations

Hit Papers

The Hallmarks of Aging 1993 2026 2004 2015 2013 1997 1993 2023 2014 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Serrano Spain 81 31.1k 16.2k 12.7k 6.4k 5.8k 271 52.5k
Judith Campisi United States 109 33.0k 1.1× 28.2k 1.7× 8.8k 0.7× 8.4k 1.3× 12.5k 2.2× 326 65.9k
Toren Finkel United States 97 30.3k 1.0× 11.4k 0.7× 4.9k 0.4× 5.2k 0.8× 6.5k 1.1× 211 55.4k
Carlos López-Otı́n Spain 107 25.1k 0.8× 8.0k 0.5× 9.8k 0.8× 13.8k 2.2× 4.4k 0.8× 414 51.2k
Ronald A. DePinho United States 149 56.0k 1.8× 16.5k 1.0× 23.0k 1.8× 13.7k 2.1× 9.8k 1.7× 417 86.1k
Marı́a A. Blasco Spain 100 29.1k 0.9× 24.6k 1.5× 4.4k 0.3× 3.6k 0.6× 3.3k 0.6× 290 49.4k
Anne Brunet United States 79 26.6k 0.9× 6.0k 0.4× 4.1k 0.3× 3.8k 0.6× 3.0k 0.5× 144 38.7k
Jerry W. Shay United States 118 35.3k 1.1× 32.2k 2.0× 8.9k 0.7× 4.9k 0.8× 4.3k 0.7× 522 58.0k
Vilhelm A. Bohr United States 104 30.2k 1.0× 8.0k 0.5× 5.3k 0.4× 6.4k 1.0× 1.7k 0.3× 539 42.0k
Eric Verdin United States 115 24.9k 0.8× 11.0k 0.7× 5.1k 0.4× 3.3k 0.5× 5.8k 1.0× 279 47.7k
Roderick T. Bronson United States 139 46.0k 1.5× 5.8k 0.4× 23.2k 1.8× 11.6k 1.8× 11.5k 2.0× 544 77.8k

Countries citing papers authored by Manuel Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Serrano. A scholar is included among the top collaborators of Manuel Serrano 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 Manuel Serrano. Manuel Serrano 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.
Gerisch, Birgit, et al.. (2025). A TFEB–TGFβ axis systemically regulates diapause, stem cell resilience and protects against a senescence-like state. Nature Aging. 5(7). 1340–1357. 1 indexed citations
2.
Alcorlo, Martín, Juan R. Luque-Ortega, Federico Gago, et al.. (2024). Flexible structural arrangement and DNA-binding properties of protein p6 from Bacillus subtillis phage φ29. Nucleic Acids Research. 52(4). 2045–2065. 2 indexed citations
3.
López-Otı́n, Carlos, Marı́a A. Blasco, Linda Partridge, Manuel Serrano, & Guido Kroemer. (2023). Hallmarks of aging: An expanding universe. Cell. 186(2). 243–278. 2954 indexed citations breakdown →
4.
Meyer, Kathleen, et al.. (2023). A NIR fluorescent probe for the detection of renal damage based on overrepresentation of alanine aminopeptidase enzyme. Chemical Communications. 59(17). 2481–2484. 7 indexed citations
5.
Hwang, E. Shelley, James L. Reading, Jun Yu, et al.. (2023). Pre-cancer: From diagnosis to intervention opportunities. Cancer Cell. 41(4). 637–640. 1 indexed citations
6.
Chondronasiou, Dafni, Lluc Mosteiro, Jaime Martínez de Villarreal, et al.. (2022). Natural killer cells act as an extrinsic barrier for in vivo reprogramming. Development. 149(8). 18 indexed citations
7.
Rovira, Miguel, Rebecca Sereda, Inés Marín, et al.. (2022). The lysosomal proteome of senescent cells contributes to the senescence secretome. Aging Cell. 21(10). e13707–e13707. 62 indexed citations
8.
Llanos, Susana, Diego Megı́as, Carmen Blanco‐Aparicio, et al.. (2019). Lysosomal trapping of palbociclib and its functional implications. Oncogene. 38(20). 3886–3902. 57 indexed citations
9.
Evangelou, Konstantinos, Nikolaos Lougiakis, Sophia V. Rizou, et al.. (2016). Robust, universal biomarker assay to detect senescent cells in biological specimens. Aging Cell. 16(1). 192–197. 182 indexed citations
10.
Matheu, Ander, Manuel Collado, Clare Wise, et al.. (2012). Oncogenicity of the Developmental Transcription Factor Sox9. Cancer Research. 72(5). 1301–1315. 168 indexed citations
11.
Guerra, Carmen, Manuel Collado, Carolina Navas, et al.. (2011). Pancreatitis-Induced Inflammation Contributes to Pancreatic Cancer by Inhibiting Oncogene-Induced Senescence. Cancer Cell. 19(6). 728–739. 380 indexed citations
12.
Collado, Manuel & Manuel Serrano. (2010). The TRIP from ULF to ARF. Cancer Cell. 17(4). 317–318. 13 indexed citations
13.
Ythier, Damien, Ana I. Robles, Manuel Collado, et al.. (2009). WNT16B Is a New Marker of Cellular Senescence That Regulates p53 Activity and the Phosphoinositide 3-Kinase/AKT Pathway. Cancer Research. 69(24). 9183–9191. 73 indexed citations
14.
Moreno‐Bueno, Gema, Pablo J. Fernández-Marcos, Manuel Collado, et al.. (2007). Inactivation of the Candidate Tumor Suppressor Par-4 in Endometrial Cancer. Cancer Research. 67(5). 1927–1934. 72 indexed citations
15.
Efeyan, Alejo, Ana Ortega-Molina, Susana Velasco-Miguel, et al.. (2007). Induction of p53-Dependent Senescence by the MDM2 Antagonist Nutlin-3a in Mouse Cells of Fibroblast Origin. Cancer Research. 67(15). 7350–7357. 105 indexed citations
16.
González, Susana, Manuel M. Pérez‐Pérez, Eva Hernando, Manuel Serrano, & Carlos Cordon‐Cardo. (2005). p73β-Mediated Apoptosis Requires p57kip2 Induction and IEX-1 Inhibition. Cancer Research. 65(6). 2186–2192. 39 indexed citations
17.
Samper, Enrique, et al.. (2004). The absence of p53 is critical for the induction of apoptosis by 5-aza-2′-deoxycytidine. Oncogene. 23(3). 735–743. 65 indexed citations
18.
Pyrzyńska, Beata, Manuel Serrano, Carlos Martı́nez-A, & Bożena Kamińska. (2002). Tumor Suppressor p53 Mediates Apoptotic Cell Death Triggered by Cyclosporin A. Journal of Biological Chemistry. 277(16). 14102–14108. 43 indexed citations
19.
Serrano, Manuel. (2000). Repercusiones en las empresas de distribución. 80–85.
20.
Balomenos, Dimitrios, Juan Martín‐Caballero, María I. García, et al.. (2000). The cell cycle inhibitor p21 controls T-cell proliferation and sex-linked lupus development. Nature Medicine. 6(2). 171–176. 159 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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