Dimitri Guala

470 total citations
21 papers, 307 citations indexed

About

Dimitri Guala is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Dimitri Guala has authored 21 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Oncology. Recurrent topics in Dimitri Guala's work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (13 papers) and Computational Drug Discovery Methods (5 papers). Dimitri Guala is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (13 papers) and Computational Drug Discovery Methods (5 papers). Dimitri Guala collaborates with scholars based in Sweden, Germany and Finland. Dimitri Guala's co-authors include Erik L. L. Sonnhammer, Christoph Ogris, Erik Sjölund, Mateusz Kaduk, Thomas Helleday, Emma Persson, Andreas Tjärnberg, Thomas Schmitt, Andrey Alexeyenko and Oliver Frings and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Dimitri Guala

21 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimitri Guala Sweden 9 252 56 52 20 15 21 307
Nathan Rollins United States 7 276 1.1× 17 0.3× 70 1.3× 34 1.7× 13 0.9× 11 345
Yasaman Karami France 8 192 0.8× 16 0.3× 51 1.0× 13 0.7× 9 0.6× 18 246
Nikhil Kumar Tulsian Singapore 9 171 0.7× 32 0.6× 21 0.4× 18 0.9× 49 3.3× 27 323
Francisco Salavert Spain 12 322 1.3× 32 0.6× 106 2.0× 7 0.3× 21 1.4× 14 409
Khalid Kunji Qatar 8 304 1.2× 63 1.1× 36 0.7× 9 0.5× 15 1.0× 23 396
Nawar Malhis Canada 12 446 1.8× 16 0.3× 104 2.0× 17 0.8× 16 1.1× 18 521
Tamás Lázár Belgium 9 282 1.1× 14 0.3× 31 0.6× 10 0.5× 22 1.5× 22 340
Susana Barrera-Vilarmau Spain 10 272 1.1× 19 0.3× 19 0.4× 13 0.7× 34 2.3× 12 362
Sheng‐An Lee Taiwan 8 271 1.1× 60 1.1× 22 0.4× 5 0.3× 12 0.8× 10 319
A. Grosfils Belgium 3 306 1.2× 38 0.7× 57 1.1× 10 0.5× 5 0.3× 6 353

Countries citing papers authored by Dimitri Guala

Since Specialization
Citations

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

Fields of papers citing papers by Dimitri Guala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitri Guala

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitri Guala. A scholar is included among the top collaborators of Dimitri Guala 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 Dimitri Guala. Dimitri Guala 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.
Persson, Emma, et al.. (2024). FunCoup 6: advancing functional association networks across species with directed links and improved user experience. Nucleic Acids Research. 53(D1). D658–D671. 1 indexed citations
2.
Guala, Dimitri, et al.. (2024). Benchmarking enrichment analysis methods with the disease pathway network. Briefings in Bioinformatics. 25(2). 2 indexed citations
3.
Guala, Dimitri, et al.. (2024). Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules. Patterns. 5(11). 101093–101093. 1 indexed citations
4.
Järvinen, Elina, Fumi Suomi, James B. Stewart, et al.. (2023). Cultured lymphocytes’ mitochondrial genome integrity is not altered by cladribine. Clinical & Experimental Immunology. 214(3). 304–313. 1 indexed citations
5.
Guala, Dimitri, et al.. (2022). Benefits and Challenges of Pre-clustered Network-Based Pathway Analysis. Frontiers in Genetics. 13. 855766–855766. 4 indexed citations
6.
Guala, Dimitri & Erik L. L. Sonnhammer. (2022). Network Crosstalk as a Basis for Drug Repurposing. Frontiers in Genetics. 13. 792090–792090. 2 indexed citations
7.
8.
Guala, Dimitri, et al.. (2022). TOPAS, a network-based approach to detect disease modules in a top-down fashion. NAR Genomics and Bioinformatics. 4(4). lqac093–lqac093. 7 indexed citations
9.
Guala, Dimitri, et al.. (2021). Drug repurposing improves disease targeting 11-fold and can be augmented by network module targeting, applied to COVID-19. Scientific Reports. 11(1). 20687–20687. 5 indexed citations
10.
Persson, Emma, et al.. (2021). FunCoup 5: Functional Association Networks in All Domains of Life, Supporting Directed Links and Tissue-Specificity. Journal of Molecular Biology. 433(11). 166835–166835. 33 indexed citations
11.
Landtblom, Anne‐Marie, et al.. (2019). RebiQoL: A randomized trial of telemedicine patient support program for health-related quality of life and adherence in people with MS treated with Rebif. PLoS ONE. 14(7). e0218453–e0218453. 11 indexed citations
12.
Guala, Dimitri, Christoph Ogris, Nikola S. Müller, & Erik L. L. Sonnhammer. (2019). Genome-wide functional association networks: background, data & state-of-the-art resources. Briefings in Bioinformatics. 21(4). 1224–1237. 24 indexed citations
13.
Guala, Dimitri, et al.. (2018). Experimental validation of predicted cancer genes using FRET. Methods and Applications in Fluorescence. 6(3). 35007–35007. 2 indexed citations
14.
Guala, Dimitri & Erik L. L. Sonnhammer. (2017). A large-scale benchmark of gene prioritization methods. Scientific Reports. 7(1). 46598–46598. 33 indexed citations
15.
Ogris, Christoph, Dimitri Guala, Mateusz Kaduk, & Erik L. L. Sonnhammer. (2017). FunCoup 4: new species, data, and visualization. Nucleic Acids Research. 46(D1). D601–D607. 37 indexed citations
16.
Guala, Dimitri. (2017). Functional association networks for disease gene prediction. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
17.
Ogris, Christoph, Dimitri Guala, Thomas Helleday, & Erik L. L. Sonnhammer. (2016). A novel method for crosstalk analysis of biological networks: improving accuracy of pathway annotation. Nucleic Acids Research. 45(2). e8–e8. 31 indexed citations
18.
Guala, Dimitri, Erik Sjölund, & Erik L. L. Sonnhammer. (2014). MaxLink: network-based prioritization of genes tightly linked to a disease seed set. Bioinformatics. 30(18). 2689–2690. 26 indexed citations
19.
Alexeyenko, Andrey, Thomas Schmitt, Andreas Tjärnberg, et al.. (2011). Comparative interactomics with Funcoup 2.0. Nucleic Acids Research. 40(D1). D821–D828. 42 indexed citations
20.
Larsson, Pär, Kerstin Svensson, Linda Karlsson, et al.. (2007). Canonical Insertion-Deletion Markers for Rapid DNA Typing ofFrancisella tularensis. Emerging infectious diseases. 13(11). 1725–1732. 39 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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