Jordi Serra-Musach

3.1k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Jordi Serra-Musach is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jordi Serra-Musach has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in Jordi Serra-Musach's work include Epigenetics and DNA Methylation (3 papers), Bioinformatics and Genomic Networks (3 papers) and Genetic Associations and Epidemiology (2 papers). Jordi Serra-Musach is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Bioinformatics and Genomic Networks (3 papers) and Genetic Associations and Epidemiology (2 papers). Jordi Serra-Musach collaborates with scholars based in Spain, United States and United Kingdom. Jordi Serra-Musach's co-authors include Miguel Ángel Pujana, Manel Esteller, Marina Bibikova, Holger Heyn, Sebastián Morán, Juan Sandoval, Julio Sáez-Rodríguez, Thomas Cokelaer, Dennis Pultz and Lea Mørch Harder and has published in prestigious journals such as Bioinformatics, Cancer Research and Oncogene.

In The Last Decade

Jordi Serra-Musach

15 papers receiving 1.1k citations

Hit Papers

Validation of a DNA methylation microarray for 450,000 Cp... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordi Serra-Musach Spain 11 924 226 183 148 110 16 1.1k
Karen A. Pooley United Kingdom 20 674 0.7× 336 1.5× 195 1.1× 261 1.8× 108 1.0× 30 1.6k
Sarah Hsu United States 14 690 0.7× 102 0.5× 138 0.8× 116 0.8× 67 0.6× 28 1.1k
Tsun-Po Yang United Kingdom 9 759 0.8× 297 1.3× 122 0.7× 100 0.7× 38 0.3× 16 973
Vincent Ho United States 5 1.1k 1.2× 344 1.5× 181 1.0× 49 0.3× 104 0.9× 7 1.3k
Jozef Madžo United States 20 1.0k 1.1× 174 0.8× 201 1.1× 213 1.4× 48 0.4× 52 1.5k
Santiago Uribe‐Lewis United Kingdom 14 1.3k 1.4× 311 1.4× 207 1.1× 87 0.6× 94 0.9× 24 1.6k
Martyn Bullock Australia 13 663 0.7× 205 0.9× 157 0.9× 194 1.3× 66 0.6× 28 1.1k
David I. Rodenhiser Canada 27 1.2k 1.3× 614 2.7× 297 1.6× 214 1.4× 131 1.2× 44 1.7k
Weijia Xie China 16 631 0.7× 145 0.6× 412 2.3× 78 0.5× 73 0.7× 28 1.0k
Charlotte S. Wilhelm-Benartzi United Kingdom 19 980 1.1× 149 0.7× 318 1.7× 228 1.5× 148 1.3× 41 1.6k

Countries citing papers authored by Jordi Serra-Musach

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Serra-Musach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordi Serra-Musach. 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 Jordi Serra-Musach. The network helps show where Jordi Serra-Musach may publish in the future.

Co-authorship network of co-authors of Jordi Serra-Musach

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

All Works

16 of 16 papers shown
1.
Petazzi, Paolo, Antonio Gómez, Iolanda Scognamiglio, et al.. (2023). Global Impairment of Immediate-Early Genes Expression in Rett Syndrome Models and Patients Linked to Myelination Defects. International Journal of Molecular Sciences. 24(2). 1453–1453. 8 indexed citations
2.
Fernández‐Rodríguez, Juana, María Martínez‐Iniesta, Rajarshi Guha, et al.. (2022). A High-Throughput Screening Platform Identifies Novel Combination Treatments for Malignant Peripheral Nerve Sheath Tumors. Molecular Cancer Therapeutics. 21(7). 1246–1258. 7 indexed citations
3.
Roso‐Llorach, Albert, Luís Palomero, Daniel Cuadras, et al.. (2018). Disease networks identify specific conditions and pleiotropy influencing multimorbidity in the general population. Scientific Reports. 8(1). 15970–15970. 21 indexed citations
4.
Gonçalves-Ribeiro, Samuel, Rebeca Sanz‐Pamplona, Alessandra Soriano, et al.. (2017). Prediction of pathological response to neoadjuvant treatment in rectal cancer with a two-protein immunohistochemical score derived from stromal gene-profiling. Annals of Oncology. 28(9). 2160–2168. 33 indexed citations
5.
Martínez‐Soler, Fina, Noemí Vidal, Alberto Villanueva, et al.. (2017). Radioresistance of mesenchymal glioblastoma initiating cells correlates with patient outcome and is associated with activation of inflammatory program. Oncotarget. 8(43). 73640–73653. 37 indexed citations
6.
Yoldi, Guillermo, Pasquale Pellegrini, Álex Cordero, et al.. (2016). RANK Signaling Blockade Reduces Breast Cancer Recurrence by Inducing Tumor Cell Differentiation. Cancer Research. 76(19). 5857–5869. 45 indexed citations
7.
Lentini, Antonio, Danuta R. Gawel, Mikael Benson, et al.. (2016). Potential Involvement of Type I Interferon Signaling in Immunotherapy in Seasonal Allergic Rhinitis. Journal of Immunology Research. 2016. 1–6. 4 indexed citations
8.
Barneda‐Zahonero, Bruna, Jordi Serra-Musach, Abul Bashar Mir Md. Khademul Islam, et al.. (2015). The transcriptional repressor HDAC7 promotes apoptosis and c-Myc downregulation in particular types of leukemia and lymphoma. Cell Death and Disease. 6(2). e1635–e1635. 43 indexed citations
9.
Cordero, Álex, Pasquale Pellegrini, Adrián Sanz‐Moreno, et al.. (2015). Rankl Impairs Lactogenic Differentiation Through Inhibition of the Prolactin/Stat5 Pathway at Midgestation. Stem Cells. 34(4). 1027–1039. 28 indexed citations
10.
Gustafsson, Mika, Danuta R. Gawel, Colm E. Nestor, et al.. (2014). Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment. Genome Medicine. 6(2). 17–17. 26 indexed citations
11.
Bonifaci, Núria, Eva Colás, Jordi Serra-Musach, et al.. (2013). Integrating gene expression and epidemiological data for the discovery of genetic interactions associated with cancer risk. Carcinogenesis. 35(3). 578–585.
12.
Cokelaer, Thomas, Dennis Pultz, Lea Mørch Harder, Jordi Serra-Musach, & Julio Sáez-Rodríguez. (2013). BioServices: a common Python package to access biological Web Services programmatically. Bioinformatics. 29(24). 3241–3242. 74 indexed citations
13.
Sanz‐Pamplona, Rebeca, Antonio Berenguer, Xavier Solé, et al.. (2012). Tools for protein-protein interaction network analysis in cancer research. Clinical & Translational Oncology. 14(1). 3–14. 31 indexed citations
14.
Serra-Musach, Jordi, Helena Aguilar, Francesco Iorio, et al.. (2012). Cancer develops, progresses and responds to therapies through restricted perturbation of the protein–protein interaction network. Integrative Biology. 4(9). 1038–1038. 6 indexed citations
15.
Sandoval, Juan, Holger Heyn, Sebastián Morán, et al.. (2011). Validation of a DNA methylation microarray for 450,000 CpG sites in the human genome. Epigenetics. 6(6). 692–702. 732 indexed citations breakdown →
16.
Solé, Xavier, Núria Bonifaci, Jordi Serra-Musach, et al.. (2010). Biological reprogramming in acquired resistance to endocrine therapy of breast cancer. Oncogene. 29(45). 6071–6083. 55 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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