Manuel Sánchez‐Martín

3.4k total citations
64 papers, 2.3k citations indexed

About

Manuel Sánchez‐Martín is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Manuel Sánchez‐Martín has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Manuel Sánchez‐Martín's work include DNA Repair Mechanisms (11 papers), CRISPR and Genetic Engineering (9 papers) and Genomics and Chromatin Dynamics (7 papers). Manuel Sánchez‐Martín is often cited by papers focused on DNA Repair Mechanisms (11 papers), CRISPR and Genetic Engineering (9 papers) and Genomics and Chromatin Dynamics (7 papers). Manuel Sánchez‐Martín collaborates with scholars based in Spain, United States and Netherlands. Manuel Sánchez‐Martín's co-authors include Isidro Sánchez‐García, Alberto M. Pendás, Elena Llano, José Luís Barbero, Jesús Pérez‐Losada, Belén Pintado, Alfonso Gutiérrez‐Adán, Pedro A. Pérez–Mancera, Teresa Flores and María Pérez-Caro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Manuel Sánchez‐Martín

60 papers receiving 2.2k citations

Peers

Manuel Sánchez‐Martín
Marco J. Koudijs Netherlands
Fred Sablitzky United Kingdom
Diana L. Carlone United States
Judy Fletcher United Kingdom
Mary Shago Canada
Manuel Sánchez‐Martín
Citations per year, relative to Manuel Sánchez‐Martín Manuel Sánchez‐Martín (= 1×) peers Elena Llano

Countries citing papers authored by Manuel Sánchez‐Martín

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Sánchez‐Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Sánchez‐Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Sánchez‐Martín. A scholar is included among the top collaborators of Manuel Sánchez‐Martín 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 Sánchez‐Martín. Manuel Sánchez‐Martín 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.
Sánchez‐Martín, Manuel, et al.. (2024). Generation of Meiotic Mouse Models Using CRISPR/Cas9 Technology. Methods in molecular biology. 2818. 93–112.
2.
Gómez-H, Laura, Natalia Felipe‐Medina, José Luís Barbero, et al.. (2024). RNF212B E3 ligase is essential for crossover designation and maturation during male and female meiosis in the mouse. Proceedings of the National Academy of Sciences. 121(25). e2320995121–e2320995121. 8 indexed citations
3.
García-Vílchez, Raquel, Sabine Dietmann, Mercedes Tomé, et al.. (2023). N7-methylguanosine methylation of tRNAs regulates survival to stress in cancer. Oncogene. 42(43). 3169–3181. 14 indexed citations
4.
Sánchez‐Sáez, Xavier, Oksana Kutsyr, Isabel Ortuño‐Lizarán, et al.. (2023). Prph2 knock-in mice recapitulate human central areolar choroidal dystrophy retinal degeneration and exhibit aberrant synaptic remodeling and microglial activation. Cell Death and Disease. 14(11). 711–711. 1 indexed citations
5.
Cartón‐García, Fernando, Higinio Dopeso, Irati Macaya, et al.. (2022). Myosin Vb as a tumor suppressor gene in intestinal cancer. Oncogene. 41(49). 5279–5288. 2 indexed citations
6.
Llano, Elena, Anne‐Laure Todeschini, Natalia Felipe‐Medina, et al.. (2022). The Oncogenic FOXL2 C134W Mutation Is a Key Driver of Granulosa Cell Tumors. Cancer Research. 83(2). 239–250. 14 indexed citations
7.
Ordóñez, José Luis, Lucía Méndez, Julián Sevilla, et al.. (2021). CRISPR-Cas9 Technology as a Tool to Target Gene Drivers in Cancer: Proof of Concept and New Opportunities to Treat Chronic Myeloid Leukemia. The CRISPR Journal. 4(4). 519–535. 6 indexed citations
8.
Sánchez‐Martín, Manuel, et al.. (2020). Expression and functional analysis of the hydrogen peroxide biosensors HyPer and HyPer2 in C2C12 myoblasts/myotubes and single skeletal muscle fibres. Scientific Reports. 10(1). 871–871. 14 indexed citations
9.
García‐Tuñón, Ignacio, et al.. (2020). <i>Cyba</i>-deficient mice display an increase in hematopoietic stem cells and an overproduction of immunoglobulins. Haematologica. 106(1). 142–153. 6 indexed citations
10.
Felipe‐Medina, Natalia, Laura Gómez-H, Manuel Sánchez‐Martín, et al.. (2019). Ubiquitin-specific protease 26 (USP26) is not essential for mouse gametogenesis and fertility. Chromosoma. 128(3). 237–247. 16 indexed citations
11.
Fernández‐Borges, Natalia, Michele Angelo Di Bari, Hasier Eraña, et al.. (2017). Cofactors influence the biological properties of infectious recombinant prions. Acta Neuropathologica. 135(2). 179–199. 44 indexed citations
12.
Vidal, Enríc, Natalia Fernández‐Borges, Belén Pintado, et al.. (2015). Transgenic Mouse Bioassay: Evidence That Rabbits Are Susceptible to a Variety of Prion Isolates. PLoS Pathogens. 11(8). e1004977–e1004977. 20 indexed citations
13.
Sánchez‐Martín, Manuel & Atanasio Pandiella. (2011). Differential action of small molecule HER kinase inhibitors on receptor heterodimerization: Therapeutic implications. International Journal of Cancer. 131(1). 244–252. 39 indexed citations
14.
Gutiérrez‐Caballero, Cristina, Manuel Sánchez‐Martín, José Á. Suja, et al.. (2011). Identification and molecular characterization of the mammalian α-kleisin RAD21L. Cell Cycle. 10(9). 1477–1487. 57 indexed citations
15.
Llano, Elena, Rocío Gómez, Cristina Gutiérrez‐Caballero, et al.. (2008). Shugoshin-2 is essential for the completion of meiosis but not for mitotic cell division in mice. Genes & Development. 22(17). 2400–2413. 130 indexed citations
16.
Pérez–Mancera, Pedro A., Camino Bermejo‐Rodríguez, Manuel Sánchez‐Martín, et al.. (2008). FUS-DDIT3 Prevents the Development of Adipocytic Precursors in Liposarcoma by Repressing PPARγ and C/EBPα and Activating eIF4E. PLoS ONE. 3(7). e2569–e2569. 45 indexed citations
17.
Pérez-Caro, María, César Cobaleda, Inés González‐Herrero, et al.. (2008). Cancer induction by restriction of oncogene expression to the stem cell compartment. The EMBO Journal. 28(1). 8–20. 89 indexed citations
18.
Pérez–Mancera, Pedro A., et al.. (2007). Fat-specific FUS-DDIT3-transgenic mice establish PPAR  inactivation is required to liposarcoma development. Carcinogenesis. 28(10). 2069–2073. 10 indexed citations
19.
Pérez–Mancera, Pedro A., Inés González‐Herrero, Kirsteen H. Maclean, et al.. (2006). <i>SLUG (SNAI2)</i> overexpression in embryonic development. Cytogenetic and Genome Research. 114(1). 24–29. 24 indexed citations
20.
Pérez‐Losada, Jesús, Manuel Sánchez‐Martín, Belén Pintado, et al.. (2000). Liposarcoma initiated by FUS/TLS-CHOP: the FUS/TLS domain plays a critical role in the pathogenesis of liposarcoma. Oncogene. 19(52). 6015–6022. 67 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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