José A. Seoane
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine
- Cognitive Neuroscience top 10%
- Co-authors
- Christina CurtisAlejandro PazosDaniel RiveroLing GuoJulián DoradoTom R. GauntCristian R. MunteanuCarlos Fernández-Lozano
- Topics
- Gene expression and cancer classification (10 papers)Bioinformatics and Genomic Networks (10 papers)Epigenetics and DNA Methylation (9 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
José A. Seoane
51 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 839
- Oncology 396
- Cancer Research 372
- Pulmonary and Respiratory Medicine 161
- Cognitive Neuroscience 160
Countries citing papers authored by José A. Seoane
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 45 | |
| 3 | 8 | |
| 4 | 59 | |
| 5 | 47 | |
| 6 | 18 | |
| 7 | 118 | |
| 8 | 58 | |
| 9 | 88 | |
| 10 | 28 | |
| 11 | 25 | |
| 12 | 14 | |
| 13 | A Random Forest proximity matrix as a new measure for gene annotation | 1 |
| 14 | Using a Random Forest proximity measure for variable importance stratification in genotypic data | 1 |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 22 | |
| 18 | 17 | |
| 19 | 58 | |
| 20 | 33 |
About José A. Seoane
José A. Seoane is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Bioinformatics and Genomic Networks (10 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Cancer Research (372 citations), Oncology (396 citations) and Molecular Biology (839 citations). José A. Seoane has collaborated with scholars based in Spain, United States and United Kingdom. Frequent 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 Jie Ding. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.