José A. Seoane

6.2k total citations · 1 hit paper
55 papers, 1.6k citations indexed

About

José A. Seoane is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, José A. Seoane has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in José A. Seoane's work include Gene expression and cancer classification (10 papers), Bioinformatics and Genomic Networks (10 papers) and Epigenetics and DNA Methylation (9 papers). José A. Seoane is often cited by papers focused on Gene expression and cancer classification (10 papers), Bioinformatics and Genomic Networks (10 papers) and Epigenetics and DNA Methylation (9 papers). José A. Seoane collaborates with scholars based in Spain, United States and United Kingdom. José A. Seoane's co-authors include Christina Curtis, Alejandro Pazos, Daniel Rivero, Ling Guo, Julián Dorado, Tom R. Gaunt, Cristian R. Munteanu, Carlos Fernández-Lozano, Ian N.M. Day and Zhicheng Ma and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

José A. Seoane

51 papers receiving 1.6k citations

Hit Papers

Quantitative evidence for... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Quantitative evidence for early metastatic seeding in colorectal cancer
    2019 289 citations Jie Ding, Zhicheng Ma et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José A. Seoane Spain 21 839 396 372 161 160 55 1.6k
Yasir Suhail United States 13 756 0.9× 451 1.1× 297 0.8× 174 1.1× 58 0.4× 44 1.6k
Bing Han China 25 1.1k 1.3× 340 0.9× 731 2.0× 302 1.9× 185 1.2× 95 2.2k
Martin Peifer Germany 22 1.0k 1.2× 894 2.3× 439 1.2× 709 4.4× 188 1.2× 54 2.2k
Artem Sokolov United States 17 817 1.0× 240 0.6× 317 0.9× 488 3.0× 44 0.3× 53 1.6k
Yuping Sun China 18 301 0.4× 305 0.8× 177 0.5× 81 0.5× 50 0.3× 56 1.2k
Yiqun Hu China 23 280 0.3× 186 0.5× 96 0.3× 99 0.6× 55 0.3× 110 1.8k
Ewa Bartnik Poland 27 1.7k 2.1× 434 1.1× 485 1.3× 367 2.3× 77 0.5× 115 2.5k
Pierre Gestraud France 14 631 0.8× 331 0.8× 257 0.7× 136 0.8× 21 0.1× 19 1.2k

Countries citing papers authored by José A. Seoane

Since Specialization
Citations

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

Fields of papers citing papers by José A. Seoane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Seoane. 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 José A. Seoane. The network helps show where José A. Seoane may publish in the future.

Co-authorship network of co-authors of José A. Seoane

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Seoane. A scholar is included among the top collaborators of José A. Seoane 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 José A. Seoane. José A. Seoane 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.
2.
Kaiser, Alyssa M., Alberto Gatto, Nitin Raj, et al.. (2023). p53 governs an AT1 differentiation programme in lung cancer suppression. Nature. 619(7971). 851–859. 45 indexed citations
3.
Salahudeen, Ameen A., José A. Seoane, Kanako Yuki, et al.. (2023). Functional screening of amplification outlier oncogenes in organoid models of early tumorigenesis. Cell Reports. 42(11). 113355–113355. 8 indexed citations
4.
Nobre, Ana Rita, Erica Dalla, Jihong Yang, et al.. (2022). ZFP281 drives a mesenchymal-like dormancy program in early disseminated breast cancer cells that prevents metastatic outgrowth in the lung. Nature Cancer. 3(10). 1165–1180. 59 indexed citations
5.
Raj, Nitin, Mengxiong Wang, José A. Seoane, et al.. (2022). The Mettl3 epitranscriptomic writer amplifies p53 stress responses. Molecular Cell. 82(13). 2370–2384.e10. 47 indexed citations
6.
Kamber, Roarke A., Yoko Nishiga, Allison Banuelos, et al.. (2021). Inter-cellular CRISPR screens reveal regulators of cancer cell phagocytosis. Nature. 597(7877). 549–554. 118 indexed citations
7.
Li, Albert M., Gregory S. Ducker, Yang Li, et al.. (2020). Metabolic Profiling Reveals a Dependency of Human Metastatic Breast Cancer on Mitochondrial Serine and One-Carbon Unit Metabolism. Molecular Cancer Research. 18(4). 599–611. 58 indexed citations
8.
Xiao, Yiren, Kaushik N. Thakkar, Hongjuan Zhao, et al.. (2020). The m 6 A RNA demethylase FTO is a HIF-independent synthetic lethal partner with the VHL tumor suppressor. Proceedings of the National Academy of Sciences. 117(35). 21441–21449. 88 indexed citations
9.
Press, Michael F., José A. Seoane, Christina Curtis, et al.. (2018). Assessment ofERBB2/HER2Status inHER2-Equivocal Breast Cancers by FISH and 2013/2014 ASCO-CAP Guidelines. JAMA Oncology. 5(3). 366–366. 25 indexed citations
10.
Tsiliki, Georgia, Cristian R. Munteanu, José A. Seoane, et al.. (2015). RRegrs: an R package for computer-aided model selection with multiple regression models. Journal of Cheminformatics. 7(1). 46–46. 44 indexed citations
11.
Seoane, José A., Colin Campbell, Ian N.M. Day, Juan P. Casas, & Tom R. Gaunt. (2014). Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery. PLoS Computational Biology. 10(10). e1003876–e1003876. 24 indexed citations
12.
Seoane, José A., Ian N. M. Day, Juan P. Casas, Colin Campbell, & Tom R. Gaunt. (2014). A Random Forest proximity matrix as a new measure for gene annotation. The European Symposium on Artificial Neural Networks. 1 indexed citations
13.
Seoane, José A., Ian N.M. Day, Colin Campbell, Juan P. Casas, & Tom R. Gaunt. (2014). Using a Random Forest proximity measure for variable importance stratification in genotypic data. UCL Discovery (University College London). 1049–1060. 1 indexed citations
14.
Seoane, José A., Guillermo López–Campos, Julián Dorado, & Fernando Martín-Sánchez. (2013). New Approaches in Data Integration for Systems Chemical Biology. Current Topics in Medicinal Chemistry. 13(5). 591–601. 2 indexed citations
15.
Aguiar‐Pulido, Vanessa, Cristian R. Munteanu, José A. Seoane, et al.. (2012). Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer. Molecular BioSystems. 8(6). 1716–1722. 22 indexed citations
16.
Rivero, Daniel, et al.. (2012). Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification. IET Signal Processing. 6(3). 186–194. 10 indexed citations
17.
Seoane, José A., Julián Dorado, Vanessa Aguiar‐Pulido, & Alejandro Pazos. (2012). Data Integration in Genomic Medicine: Trends and Applications. Contribution of the IMIA Working Group on Informatics in Genomic Medicine.. PubMed. 7. 117–25. 2 indexed citations
18.
Aguiar‐Pulido, Vanessa, José A. Seoane, Juan R. Rabuñal, et al.. (2010). Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia. Molecules. 15(7). 4875–4889. 17 indexed citations
19.
Resino, Salvador, José A. Seoane, José M. Bellón, et al.. (2010). An artificial neural network improves the non-invasive diagnosis of significant fibrosis in HIV/HCV coinfected patients. Journal of Infection. 62(1). 77–86. 33 indexed citations
20.
Seoane, José A., et al.. (2010). Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool. International Journal of Electronic Healthcare. 5(4). 371–371. 3 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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