José Caldas

548 total citations
4 papers, 133 citations indexed

About

José Caldas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, José Caldas has authored 4 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in José Caldas's work include Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer-related molecular mechanisms research (1 paper). José Caldas is often cited by papers focused on Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer-related molecular mechanisms research (1 paper). José Caldas collaborates with scholars based in Finland, United Kingdom and Portugal. José Caldas's co-authors include José Luís Pais Ribeiro, Samuel Kaski, Nils Gehlenborg, Ali Faisal, Alvis Brāzma, Mikko Rönty, Andrew G. Nicholson, Eeva Kettunen and Sakari Knuutila and has published in prestigious journals such as Bioinformatics, Journal of Computational Biology and Pediatric Anesthesia.

In The Last Decade

José Caldas

4 papers receiving 129 citations

Peers

José Caldas
Charles Allen United States
Carter Allen United States
Monika Chaudhari United States
Sairam Parthasarathy United States
Stacey Tarrant United States
James K. Luu United States
U. Moore United Kingdom
Charles Allen United States
José Caldas
Citations per year, relative to José Caldas José Caldas (= 1×) peers Charles Allen

Countries citing papers authored by José Caldas

Since Specialization
Citations

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

Fields of papers citing papers by José Caldas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Caldas

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

All Works

4 of 4 papers shown
1.
Caldas, José & Samuel Kaski. (2011). Hierarchical Generative Biclustering for MicroRNA Expression Analysis. Journal of Computational Biology. 18(3). 251–261. 20 indexed citations
2.
Caldas, José, Nils Gehlenborg, Eeva Kettunen, et al.. (2011). Data-driven information retrieval in heterogeneous collections of transcriptomics data links SIM2s to malignant pleural mesothelioma. Bioinformatics. 28(2). 246–253. 9 indexed citations
3.
Caldas, José & Samuel Kaski. (2008). Bayesian biclustering with the plaid model. 291–296. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026