Sergio Martínez-Høyer

406 total citations
11 papers, 213 citations indexed

About

Sergio Martínez-Høyer is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Sergio Martínez-Høyer has authored 11 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Hematology. Recurrent topics in Sergio Martínez-Høyer's work include Signaling Pathways in Disease (6 papers), Peptidase Inhibition and Analysis (4 papers) and Multiple Myeloma Research and Treatments (4 papers). Sergio Martínez-Høyer is often cited by papers focused on Signaling Pathways in Disease (6 papers), Peptidase Inhibition and Analysis (4 papers) and Multiple Myeloma Research and Treatments (4 papers). Sergio Martínez-Høyer collaborates with scholars based in Spain, Canada and Sweden. Sergio Martínez-Høyer's co-authors include Aly Karsan, Mercè Pérez‐Riba, Eva Serrano‐Candelas, Álvaro Aranguren‐Ibáñez, Enríque Pérez‐Payá, Anna Aubareda, Ángel Messeguer, Mar Orzáez, Jeremy Parker and Domènec Farré and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Sergio Martínez-Høyer

11 papers receiving 212 citations

Peers

Sergio Martínez-Høyer
Rosalind Codrington United Kingdom
Rebecca H. Horton United Kingdom
Abhishek A. Singh Netherlands
Guy Ledergor United States
Justin Tibbitts United States
Tanya A. Kranenburg United States
Sergio Martínez-Høyer
Citations per year, relative to Sergio Martínez-Høyer Sergio Martínez-Høyer (= 1×) peers Cyril Catelain

Countries citing papers authored by Sergio Martínez-Høyer

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Martínez-Høyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Martínez-Høyer. 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 Sergio Martínez-Høyer. The network helps show where Sergio Martínez-Høyer may publish in the future.

Co-authorship network of co-authors of Sergio Martínez-Høyer

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

All Works

11 of 11 papers shown
1.
Martínez-Høyer, Sergio, Yu Deng, Jeremy Parker, et al.. (2020). Loss of lenalidomide-induced megakaryocytic differentiation leads to therapy resistance in del(5q) myelodysplastic syndrome. Nature Cell Biology. 22(5). 526–533. 31 indexed citations
2.
Martínez-Høyer, Sergio & Aly Karsan. (2020). Mechanisms of lenalidomide sensitivity and resistance. Experimental Hematology. 91. 22–31. 29 indexed citations
3.
Bosch, Marion T.J. van den, Joanna Węgrzyn, Jeremy Parker, et al.. (2018). miR-143/145 differentially regulate hematopoietic stem and progenitor activity through suppression of canonical TGFβ signaling. Nature Communications. 9(1). 2418–2418. 36 indexed citations
4.
Martínez-Høyer, Sergio, Angela Mo, Jihong Jiang, et al.. (2018). Resistance to Lenalidomide in Del(5q) MDS Is Mediated By Inhibition of Drug-Induced Megakaryocytic Differentiation. Blood. 132(Supplement 1). 176–176. 1 indexed citations
5.
Serrano‐Candelas, Eva, Germán Rodrigo Alemán-Muench, Anna Aubareda, et al.. (2015). RCAN 1 and 3 proteins regulate thymic positive selection. Biochemical and Biophysical Research Communications. 460(2). 295–301. 5 indexed citations
6.
Martínez-Høyer, Sergio, Fernando Aguado, Sara Martínez‐Martínez, et al.. (2015). A novel role for an RCAN3-derived peptide as a tumor suppressor in breast cancer. Carcinogenesis. 36(7). 792–799. 15 indexed citations
7.
Guasch, Alı́cia, Álvaro Aranguren‐Ibáñez, R. Pérez-Luque, et al.. (2015). Calcineurin Undergoes a Conformational Switch Evoked via Peptidyl-Prolyl Isomerization. PLoS ONE. 10(8). e0134569–e0134569. 11 indexed citations
8.
Martínez-Høyer, Sergio, Roderick Docking, Simon K. Chan, et al.. (2015). Mechanisms of Resistance to Lenalidomide in Del(5q) Myelodysplastic Syndrome Patients. Blood. 126(23). 5228–5228. 3 indexed citations
9.
Serrano‐Candelas, Eva, Domènec Farré, Álvaro Aranguren‐Ibáñez, Sergio Martínez-Høyer, & Mercè Pérez‐Riba. (2014). The Vertebrate RCAN Gene Family: Novel Insights into Evolution, Structure and Regulation. PLoS ONE. 9(1). e85539–e85539. 18 indexed citations
10.
Martínez-Høyer, Sergio, Álvaro Aranguren‐Ibáñez, Javier Garcı́a-Garcı́a, et al.. (2013). Protein kinase CK2-dependent phosphorylation of the human Regulators of Calcineurin reveals a novel mechanism regulating the calcineurin–NFATc signaling pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(10). 2311–2321. 14 indexed citations
11.
Aubareda, Anna, Mar Orzáez, Eva Serrano‐Candelas, et al.. (2009). Inhibiting the Calcineurin-NFAT (Nuclear Factor of Activated T Cells) Signaling Pathway with a Regulator of Calcineurin-derived Peptide without Affecting General Calcineurin Phosphatase Activity. Journal of Biological Chemistry. 284(14). 9394–9401. 50 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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