Diego Galeano

704 total citations
16 papers, 242 citations indexed

About

Diego Galeano is a scholar working on Molecular Biology, Computational Theory and Mathematics and Rehabilitation. According to data from OpenAlex, Diego Galeano has authored 16 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Rehabilitation. Recurrent topics in Diego Galeano's work include Computational Drug Discovery Methods (7 papers), Stroke Rehabilitation and Recovery (3 papers) and Bioinformatics and Genomic Networks (3 papers). Diego Galeano is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Stroke Rehabilitation and Recovery (3 papers) and Bioinformatics and Genomic Networks (3 papers). Diego Galeano collaborates with scholars based in Paraguay, United Kingdom and United States. Diego Galeano's co-authors include Alberto Paccanaro, Shantao Li, Mark Gerstein, Mateo Torres, Luca Cernuzzi, Diego Torricelli, Stefano Piazza, Victoria Zaksas, F. Brunetti and Francisco J. Enguita and has published in prestigious journals such as Nature Communications, BioMed Research International and Theranostics.

In The Last Decade

Diego Galeano

15 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Galeano Paraguay 7 102 91 36 31 28 16 242
Emmanuel Bresso France 11 51 0.5× 93 1.0× 26 0.7× 15 0.5× 8 0.3× 32 374
Daniel Korn United States 8 200 2.0× 161 1.8× 8 0.2× 19 0.6× 68 2.4× 26 370
Tal Lorberbaum United States 8 267 2.6× 232 2.5× 73 2.0× 68 2.2× 17 0.6× 8 393
Youngmi Yoon South Korea 11 147 1.4× 271 3.0× 10 0.3× 27 0.9× 14 0.5× 52 387
Zimo Yin China 4 185 1.8× 113 1.2× 8 0.2× 48 1.5× 9 0.3× 6 288
Francis E. Agamah South Africa 6 126 1.2× 175 1.9× 7 0.2× 30 1.0× 27 1.0× 12 340
Md. Arifuzzaman Bangladesh 11 53 0.5× 136 1.5× 15 0.4× 9 0.3× 15 0.5× 21 315
Ziheng Hu United States 9 157 1.5× 191 2.1× 7 0.2× 30 1.0× 9 0.3× 16 465
Anchala Kumari India 14 94 0.9× 227 2.5× 10 0.3× 28 0.9× 97 3.5× 31 441
Sahar Qazi India 9 83 0.8× 122 1.3× 6 0.2× 32 1.0× 37 1.3× 23 258

Countries citing papers authored by Diego Galeano

Since Specialization
Citations

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

Fields of papers citing papers by Diego Galeano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Galeano

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

All Works

16 of 16 papers shown
1.
Kim, JangKeun, Francisco J. Enguita, Joseph W. Guarnieri, et al.. (2024). To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infants. Communications Biology. 7(1). 1268–1268. 4 indexed citations
2.
Galeano, Diego, Jeffrey Haltom, Victoria Zaksas, et al.. (2024). sChemNET: a deep learning framework for predicting small molecules targeting microRNA function. Nature Communications. 15(1). 9149–9149. 6 indexed citations
3.
Narayanan, S, Joseph W. Guarnieri, Victoria Zaksas, et al.. (2023). A comprehensive SARS-CoV-2 and COVID-19 review, Part 2: host extracellular to systemic effects of SARS-CoV-2 infection. European Journal of Human Genetics. 32(1). 10–20. 23 indexed citations
4.
Galeano, Diego & Alberto Paccanaro. (2022). Machine learning prediction of side effects for drugs in clinical trials. Cell Reports Methods. 2(12). 100358–100358. 27 indexed citations
5.
Enguita, Francisco J., Ana Lúcia Leitão, J. Tyson McDonald, et al.. (2022). The interplay between lncRNAs, RNA-binding proteins and viral genome during SARS-CoV-2 infection reveals strong connections with regulatory events involved in RNA metabolism and immune response. Theranostics. 12(8). 3946–3962. 19 indexed citations
6.
Torres, Mateo, et al.. (2021). Machine learning and network medicine approaches for drug repositioning for COVID-19. Patterns. 3(1). 100396–100396. 31 indexed citations
7.
Galeano, Diego, et al.. (2021). A Recommender System Approach for Predicting Effective Antivirals. 1–10. 1 indexed citations
8.
Galeano, Diego, Shantao Li, Mark Gerstein, & Alberto Paccanaro. (2020). Predicting the frequencies of drug side effects. Nature Communications. 11(1). 4575–4575. 90 indexed citations
9.
Galeano, Diego & Alberto Paccanaro. (2018). A Recommender System Approach for Predicting Drug Side Effects. 1–8. 14 indexed citations
10.
Galeano, Diego, et al.. (2017). Mining the biomedical literature to predict shared drug targets in DrugBank. 5. 1–5. 1 indexed citations
11.
Zanoli, Luca, et al.. (2016). [Phosphorus: a new cardiovascular risk factor?].. PubMed. 166(6). e389–400.
12.
Galeano, Diego & Alberto Paccanaro. (2016). Drug targets prediction using chemical similarity. 128. 1–7. 5 indexed citations
13.
Galeano, Diego, F. Brunetti, Diego Torricelli, Stefano Piazza, & José L. Pons. (2014). A Tool for Balance Control Training Using Muscle Synergies and Multimodal Interfaces. BioMed Research International. 2014. 1–13. 13 indexed citations
14.
15.
Galeano, Diego, et al.. (2011). Real-time architecture on FPGA for obstacle detection using inverse perspective mapping. 788–791. 5 indexed citations
16.
Meloni, Fabio, et al.. (1998). Cerebrovascular involvement and affective disorders in the elderly. Archives of Gerontology and Geriatrics. 26. 321–324. 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.

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