Francisco Azuaje

9.0k total citations · 2 hit papers
146 papers, 5.6k citations indexed

About

Francisco Azuaje is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Francisco Azuaje has authored 146 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 32 papers in Computational Theory and Mathematics and 22 papers in Artificial Intelligence. Recurrent topics in Francisco Azuaje's work include Bioinformatics and Genomic Networks (60 papers), Gene expression and cancer classification (43 papers) and Computational Drug Discovery Methods (29 papers). Francisco Azuaje is often cited by papers focused on Bioinformatics and Genomic Networks (60 papers), Gene expression and cancer classification (43 papers) and Computational Drug Discovery Methods (29 papers). Francisco Azuaje collaborates with scholars based in United Kingdom, Luxembourg and Ireland. Francisco Azuaje's co-authors include Haiying Wang, Gari D. Clifford, Patrick McSharry, Nadia Bolshakova, Yvan Devaux, Jagath C. Rajapakse, Daniel R. Wagner, Huiru Zheng, Olivier Bodenreider and Anyela Camargo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Francisco Azuaje

144 papers receiving 5.3k citations

Hit Papers

align trajectories

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.

Artificial Immune Systems: A New Computational Intelligence Approach

2003 877 citations Francisco Azuaje profile →
Advanced Methods And Tools for ECG Data Analysis

2006 591 citations Francisco Azuaje et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francisco Azuaje United Kingdom	33	2.5k	1.0k	992	748	593	146	5.6k
Min Wu China	48	3.6k 1.4×	1.9k 1.9×	378 0.4×	239 0.3×	389 0.7×	450	9.7k
Sungroh Yoon South Korea	40	2.7k 1.1×	1.5k 1.5×	377 0.4×	269 0.4×	545 0.9×	234	7.2k
Chandan Chakraborty India	46	1.6k 0.6×	1.2k 1.1×	535 0.5×	812 1.1×	615 1.0×	178	7.2k
Lifeng Wang China	37	4.2k 1.7×	1.5k 1.4×	269 0.3×	146 0.2×	634 1.1×	172	10.0k
Feng Tian China	35	1.5k 0.6×	251 0.2×	329 0.3×	899 1.2×	305 0.5×	320	5.9k
Yanda Li China	38	2.3k 0.9×	524 0.5×	130 0.1×	268 0.4×	717 1.2×	280	5.6k
Kun Huang United States	44	2.8k 1.1×	1.1k 1.1×	250 0.3×	147 0.2×	999 1.7×	325	6.7k
Chee Keong Kwoh Singapore	37	2.3k 0.9×	930 0.9×	285 0.3×	112 0.1×	256 0.4×	182	5.2k
Doheon Lee South Korea	38	4.1k 1.6×	873 0.9×	283 0.3×	70 0.1×	464 0.8×	229	6.9k
Yi‐Ping Phoebe Chen Australia	45	2.1k 0.8×	1.5k 1.5×	217 0.2×	118 0.2×	666 1.1×	389	6.9k

Countries citing papers authored by Francisco Azuaje

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Azuaje

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Azuaje

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aguayo, Gloria, Lu Zhang, Michel Vaillant, et al.. (2023). Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study. BMC Medical Research Methodology. 23(1). 8–8. 11 indexed citations

Rajapakse, Jagath C., et al.. (2022). DrDimont: explainable drug response prediction from differential analysis of multi-omics networks. Bioinformatics. 38(Supplement_2). ii113–ii119. 3 indexed citations

Poli, Aurélie, Anaïs Oudin, Arnaud Muller, et al.. (2022). Allergic airway inflammation delays glioblastoma progression and reinvigorates systemic and local immunity in mice. Allergy. 78(3). 682–696. 5 indexed citations

El‐Andaloussi, Nazim, Serena Bonifati, Valérie Palissot, et al.. (2021). Oncolytic H-1 parvovirus binds to sialic acid on laminins for cell attachment and entry. Nature Communications. 12(1). 3834–3834. 25 indexed citations

Fritah, Sabrina, Arnaud Muller, Wei Jiang, et al.. (2020). Temozolomide-Induced RNA Interactome Uncovers Novel LncRNA Regulatory Loops in Glioblastoma. Cancers. 12(9). 2583–2583. 8 indexed citations

Monzel, Anna S., Kathrin Hemmer, Tony Kaoma, et al.. (2020). Machine learning-assisted neurotoxicity prediction in human midbrain organoids. Parkinsonism & Related Disorders. 75. 105–109. 55 indexed citations

Sousa, Carole, Anna Golebiewska, Suresh Poovathingal, et al.. (2018). Single‐cell transcriptomics reveals distinct inflammation‐induced microglia signatures. EMBO Reports. 19(11). 202 indexed citations

Dubois‐Randé, Jean‐Luc, et al.. (2014). Permanent Culture of Macrophages at Physiological Oxygen Attenuates the Antioxidant and Immunomodulatory Properties of Dimethyl Fumarate. Journal of Cellular Physiology. 230(5). 1128–1138. 22 indexed citations

Fritah, Sabrina, Simone P. Niclou, & Francisco Azuaje. (2014). Databases for lncRNAs: a comparative evaluation of emerging tools. RNA. 20(11). 1655–1665. 72 indexed citations

10.

Azuaje, Francisco, Sophie Rodius, Lu Zhang, Yvan Devaux, & Daniel R. Wagner. (2011). Information encoded in a network of inflammation proteins predicts clinical outcome after myocardial infarction. BMC Medical Genomics. 4(1). 59–59. 17 indexed citations

11.

Blayney, Jaine K., Huiru Zheng, Haiying Wang, & Francisco Azuaje. (2010). Multi-level integrative analysis of Protein Protein Interaction networks: connecting completeness, depth and robustness. International Journal of Computational Biology and Drug Design. 3(1). 31–31. 1 indexed citations

12.

Azuaje, Francisco. (2010). Bioinformatics and biomarker discovery : "omic" data analysis for personalised medicine. Wiley-Blackwell eBooks. 5 indexed citations

13.

Azuaje, Francisco. (2010). Why is it so difficult to data mine relevant genome-scale biomarkers?. Expert Opinion on Medical Diagnostics. 5(1). 1–4. 2 indexed citations

14.

Azuaje, Francisco, Yvan Devaux, & Daniel Wagner. (2009). Challenges and Standards in Reporting Diagnostic and Prognostic Biomarker Studies. Clinical and Translational Science. 2(2). 156–161. 10 indexed citations

15.

Camargo, Anyela & Francisco Azuaje. (2008). Identification of dilated cardiomyopathy signature genes through gene expression and network data integration. Genomics. 92(6). 404–413. 39 indexed citations

16.

Wang, Haiying, Huiru Zheng, & Francisco Azuaje. (2007). Self-adaptive neural networks based on a Poisson approach for knowledge discovery. International Joint Conference on Artificial Intelligence. 1101–1106. 1 indexed citations

17.

Zheng, Huiru, et al.. (2006). Evaluation of computational classification methods for discriminating human heart failure etiology based on gene expression data. Computing in Cardiology Conference. 277–280. 2 indexed citations

18.

Azuaje, Francisco & Joaquı́n Dopazo. (2005). Data Analysis and Visualization in Genomics and Proteomics. John Wiley eBooks. 39 indexed citations

19.

Azuaje, Francisco. (2003). An Immune-inspired Approach to Learning and Classification.. Applied Informatics. 1–6.

20.

Dubitzky, Werner, et al.. (1999). On local and global feature weight discovery for case-based reasoning.. Computers and Their Applications. 107–110. 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.

Explore authors with similar magnitude of impact