Delora Baptista

703 total citations
7 papers, 194 citations indexed

About

Delora Baptista is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Delora Baptista has authored 7 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Delora Baptista's work include Machine Learning in Materials Science (3 papers), Bioinformatics and Genomic Networks (3 papers) and Computational Drug Discovery Methods (3 papers). Delora Baptista is often cited by papers focused on Machine Learning in Materials Science (3 papers), Bioinformatics and Genomic Networks (3 papers) and Computational Drug Discovery Methods (3 papers). Delora Baptista collaborates with scholars based in Portugal, Switzerland and United Kingdom. Delora Baptista's co-authors include Miguel Rocha, Pedro G. Ferreira, Jürgen Jänes, Pedro Beltrão, Miguel Correa Marrero, Andrea Fossati, Sandra Orchard, Gosia Trynka, Julius Brennecke and Anna Sintsova and has published in prestigious journals such as Nature Biotechnology, PLoS Biology and PLoS Computational Biology.

In The Last Decade

Delora Baptista

6 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Delora Baptista Portugal 4 125 117 50 29 20 7 194
Bogdan Zagribelnyy Russia 4 124 1.0× 111 0.9× 44 0.9× 13 0.4× 12 0.6× 8 233
Petrina Kamya Canada 7 138 1.1× 119 1.0× 60 1.2× 39 1.3× 21 1.1× 8 317
Xiaochu Tong China 7 164 1.3× 185 1.6× 82 1.6× 18 0.6× 17 0.8× 14 293
Mingkun Lu China 9 224 1.8× 114 1.0× 28 0.6× 20 0.7× 11 0.6× 16 346
George Alexandru Adam Canada 3 117 0.9× 92 0.8× 24 0.5× 41 1.4× 26 1.3× 4 242
Manon Réau France 8 209 1.7× 163 1.4× 69 1.4× 26 0.9× 18 0.9× 11 318
Xianfang Tang China 9 183 1.5× 188 1.6× 20 0.4× 41 1.4× 18 0.9× 20 279
Muhammad Ammad-ud-din Finland 8 205 1.6× 160 1.4× 27 0.5× 31 1.1× 7 0.3× 14 289
Navneet Bung India 10 203 1.6× 154 1.3× 81 1.6× 19 0.7× 13 0.7× 19 323
John J. Y. Lee Canada 6 195 1.6× 134 1.1× 36 0.7× 45 1.6× 35 1.8× 10 345

Countries citing papers authored by Delora Baptista

Since Specialization
Citations

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

Fields of papers citing papers by Delora Baptista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delora Baptista

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

All Works

7 of 7 papers shown
1.
Oostrum, Marc van, Danish Memon, Fabian Frommelt, et al.. (2025). A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes. Nature Biotechnology. 4 indexed citations
2.
Uliana, Federico, László Tirián, Delora Baptista, et al.. (2025). Multi-tissue characterization of the constitutive heterochromatin proteome in Drosophila identifies a link between satellite DNA organization and transposon repression. PLoS Biology. 23(1). e3002984–e3002984.
3.
Marrero, Miguel Correa, Jürgen Jänes, Delora Baptista, & Pedro Beltrão. (2024). Integrating Large-Scale Protein Structure Prediction into Human Genetics Research. Annual Review of Genomics and Human Genetics. 25(1). 123–140. 3 indexed citations
4.
Baptista, Delora, Pedro G. Ferreira, & Miguel Rocha. (2023). A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer. PLoS Computational Biology. 19(3). e1010200–e1010200. 16 indexed citations
5.
Baptista, Delora, et al.. (2022). Evaluating molecular representations in machine learning models for drug response prediction and interpretability. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 19(3). 23 indexed citations
6.
Baptista, Delora, Pedro G. Ferreira, & Miguel Rocha. (2019). Deep learning for drug response prediction in cancer. Briefings in Bioinformatics. 22(1). 360–379. 147 indexed citations
7.
Baptista, Delora, et al.. (2018). A Review on Metabolomics Data Analysis for Cancer Applications. Advances in intelligent systems and computing. 157–165. 1 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