Susana Vinga

4.3k total citations · 1 hit paper
95 papers, 2.6k citations indexed

About

Susana Vinga is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Susana Vinga has authored 95 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 10 papers in Artificial Intelligence and 8 papers in Oncology. Recurrent topics in Susana Vinga's work include Bioinformatics and Genomic Networks (17 papers), Microbial Metabolic Engineering and Bioproduction (15 papers) and Machine Learning in Bioinformatics (14 papers). Susana Vinga is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Microbial Metabolic Engineering and Bioproduction (15 papers) and Machine Learning in Bioinformatics (14 papers). Susana Vinga collaborates with scholars based in Portugal, United States and France. Susana Vinga's co-authors include Jonas S. Almeida, Andrzej Zieleziński, Wojciech M. Karłowski, Ana Rute Neves, Marta B. Lopes, Helena Santos, Paula Gaspar, Rafael S. Costa, András Hartmann and Hermı́nia de Lencastre and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Susana Vinga

93 papers receiving 2.5k citations

Hit Papers

Alignment-free sequence comparison—a review 2003 2026 2010 2018 2003 100 200 300 400 500
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. Alignment-free sequence comparison—a review
    2003 549 citations Susana Vinga, Jonas S. Almeida Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susana Vinga Portugal 24 1.9k 309 242 185 155 95 2.6k
Andrei Gabrielian United States 19 2.4k 1.3× 248 0.8× 237 1.0× 140 0.8× 219 1.4× 40 2.9k
Geng Tian China 33 1.6k 0.8× 380 1.2× 355 1.5× 193 1.0× 187 1.2× 155 3.8k
Fei Guo China 38 3.7k 2.0× 357 1.2× 130 0.5× 277 1.5× 123 0.8× 278 5.3k
Shuai Cheng Li China 26 1.3k 0.7× 164 0.5× 169 0.7× 202 1.1× 116 0.7× 205 2.5k
Xiaochen Bo China 31 2.7k 1.4× 245 0.8× 360 1.5× 306 1.7× 162 1.0× 166 4.2k
Ali Najafi Iran 23 836 0.4× 239 0.8× 125 0.5× 148 0.8× 127 0.8× 115 1.6k
Xiaodong Zhao China 27 1.7k 0.9× 187 0.6× 162 0.7× 136 0.7× 78 0.5× 142 2.9k
María Martin United Kingdom 28 3.1k 1.7× 149 0.5× 394 1.6× 292 1.6× 328 2.1× 81 4.3k
Jialiang Yang China 36 2.3k 1.2× 448 1.4× 172 0.7× 434 2.3× 237 1.5× 182 4.1k
Liang Cheng China 38 3.6k 1.9× 194 0.6× 307 1.3× 274 1.5× 141 0.9× 180 4.9k

Countries citing papers authored by Susana Vinga

Since Specialization
Citations

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

Fields of papers citing papers by Susana Vinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Vinga

This figure shows the co-authorship network connecting the top 25 collaborators of Susana Vinga. A scholar is included among the top collaborators of Susana Vinga 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 Susana Vinga. Susana Vinga 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.
Cai, Zhaoxiang, Rebecca C. Poulos, Phillip J. Robinson, et al.. (2025). A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches. Briefings in Bioinformatics. 26(4). 15 indexed citations
2.
Carvalho, Alexandra M., et al.. (2025). Enhancing Prognostic Signatures in Glioblastoma with Feature Selection and Regularised Cox Regression. Genes. 16(5). 473–473. 1 indexed citations
3.
Oliveira, Francisco P. M., Mariana Silva, Sofia C. Vaz, et al.. (2024). A robust deep-learning model for fully automatic segmentation of lymphoma lesions on whole-body [18F]FDG PET/CT images. 1–4. 1 indexed citations
4.
Cai, Zhaoxiang, Clare Pacini, Susana Vinga, et al.. (2024). Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning. Nature Communications. 15(1). 10390–10390. 11 indexed citations
5.
6.
Martins, Marta, et al.. (2022). Kidney Cancer Biomarker Selection Using Regularized Survival Models. Cells. 11(15). 2311–2311. 1 indexed citations
7.
Vinga, Susana, et al.. (2021). Spatiotemporal Correlation Feature Spaces to Support Anomaly Detection in Water Distribution Networks. Water. 13(18). 2551–2551. 10 indexed citations
8.
Vinga, Susana, et al.. (2021). Outlier Detection for Multivariate Time Series Using Dynamic Bayesian Networks. Applied Sciences. 11(4). 1955–1955. 5 indexed citations
9.
Andrade, Ricardo, et al.. (2020). MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineering. BMC Bioinformatics. 21(1). 8 indexed citations
10.
Lopes, Marta B., et al.. (2020). TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data. Biomedicines. 8(11). 488–488. 2 indexed citations
11.
Valério, Duarte, et al.. (2019). Variable order 3D models of bone remodelling. Bulletin of the Polish Academy of Sciences Technical Sciences. 501–508. 2 indexed citations
12.
Belinha, J., et al.. (2018). Mechanical bone remodelling: Comparative study of distinct numerical approaches. Engineering Analysis with Boundary Elements. 100. 125–139. 16 indexed citations
13.
Valério, Duarte, Susana Vinga, Dominik Sierociuk, et al.. (2018). Simplifying biochemical tumorous bone remodeling models through variable order derivatives. Computers & Mathematics with Applications. 75(9). 3147–3157. 12 indexed citations
14.
Hartmann, András, Ana Rute Neves, João M. Lemos, & Susana Vinga. (2016). Identification and automatic segmentation of multiphasic cell growth using a linear hybrid model. Mathematical Biosciences. 279. 83–89. 2 indexed citations
15.
Monteiro, José Luiz Fontes, Susana Vinga, & Alexandra M. Carvalho. (2015). Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks. Uncertainty in Artificial Intelligence. 622–631. 5 indexed citations
16.
Costa, Rafael S., András Hartmann, Paula Gaspar, Ana Rute Neves, & Susana Vinga. (2014). An extended dynamic model of Lactococcus lactis metabolism for mannitol and 2,3-butanediol production. Molecular BioSystems. 10(3). 628–639. 12 indexed citations
17.
Caldas, José Manuel Peixoto & Susana Vinga. (2014). Global Meta-Analysis of Transcriptomics Studies. PLoS ONE. 9(2). e89318–e89318. 10 indexed citations
18.
Almeida, Jonas S., et al.. (2012). Fractal MapReduce decomposition of sequence alignment. Algorithms for Molecular Biology. 7(1). 12–12. 18 indexed citations
19.
Almeida, Jonas S. & Susana Vinga. (2006). Computing distribution of scale independent motifs in biological sequences. Algorithms for Molecular Biology. 1(1). 18–18. 13 indexed citations
20.
Vinga, Susana & Jonas S. Almeida. (2003). Alignment-free sequence comparison—a review. Bioinformatics. 19(4). 513–523. 549 indexed citations breakdown →

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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