Ádám Arany

1.0k total citations
24 papers, 378 citations indexed

About

Ádám Arany is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ádám Arany has authored 24 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Ádám Arany's work include Computational Drug Discovery Methods (9 papers), Gene expression and cancer classification (5 papers) and Machine Learning in Materials Science (3 papers). Ádám Arany is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Gene expression and cancer classification (5 papers) and Machine Learning in Materials Science (3 papers). Ádám Arany collaborates with scholars based in Belgium, Hungary and Austria. Ádám Arany's co-authors include Yves Moreau, Jaak Simm, Péter Antal, Hugo Ceulemans, Péter Mátyus, Vladimir Chupakhin, Jörg K. Wegner, Emmanuel Gustin, Marvin Steijaert and Jorge Vialard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Genome biology.

In The Last Decade

Ádám Arany

22 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ádám Arany Belgium 11 193 159 94 49 44 24 378
Ladislav Rampášek Canada 6 257 1.3× 153 1.0× 52 0.6× 71 1.4× 41 0.9× 8 532
Joshua Kangas United States 7 124 0.6× 59 0.4× 113 1.2× 46 0.9× 36 0.8× 11 255
Samson Fong United States 7 510 2.6× 230 1.4× 78 0.8× 109 2.2× 67 1.5× 11 790
Hailin Hu China 14 546 2.8× 84 0.5× 18 0.2× 84 1.7× 40 0.9× 23 747
Tolga Can Türkiye 15 646 3.3× 90 0.6× 18 0.2× 59 1.2× 41 0.9× 51 810
Somayah Albaradei Saudi Arabia 11 361 1.9× 263 1.7× 17 0.2× 69 1.4× 85 1.9× 28 604
Maha A. Thafar Saudi Arabia 12 465 2.4× 297 1.9× 18 0.2× 73 1.5× 87 2.0× 29 700
Kaitlyn Gayvert United States 8 377 2.0× 257 1.6× 28 0.3× 61 1.2× 90 2.0× 18 607
Junlin Xu China 17 516 2.7× 187 1.2× 34 0.4× 77 1.6× 20 0.5× 53 743
Safiye Çelik United States 8 146 0.8× 35 0.2× 28 0.3× 53 1.1× 10 0.2× 11 316

Countries citing papers authored by Ádám Arany

Since Specialization
Citations

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

Fields of papers citing papers by Ádám Arany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ádám Arany

This figure shows the co-authorship network connecting the top 25 collaborators of Ádám Arany. A scholar is included among the top collaborators of Ádám Arany 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 Ádám Arany. Ádám Arany 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.
2.
Winiwarter, Susanne, et al.. (2025). Enhancing uncertainty quantification in drug discovery with censored regression labels. Lirias (KU Leuven). 7. 100128–100128. 3 indexed citations
3.
Engkvist, Ola, et al.. (2025). Achieving well-informed decision-making in drug discovery: a comprehensive calibration study using neural network-based structure-activity models. Journal of Cheminformatics. 17(1). 29–29. 1 indexed citations
4.
Brouwer, Edward De, et al.. (2024). Atom-Level Optical Chemical Structure Recognition with Limited Supervision. Lirias (KU Leuven). 17669–17678. 1 indexed citations
5.
Ghaderi, Susan, Masoud Ahookhosh, Ádám Arany, et al.. (2023). Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. Applied Mathematics and Computation. 464. 128377–128377.
6.
Arany, Ádám, et al.. (2023). Large sample size and nonlinear sparse models outline epistatic effects in inflammatory bowel disease. Genome biology. 24(1). 224–224. 7 indexed citations
7.
Moreau, Yves, et al.. (2023). Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization. Pharmaceutics. 15(3). 899–899. 1 indexed citations
8.
Raimondi, Daniele, Jaak Simm, Ádám Arany, & Yves Moreau. (2021). A novel method for data fusion over entity-relation graphs and its application to protein–protein interaction prediction. Bioinformatics. 37(16). 2275–2281. 12 indexed citations
9.
Arany, Ádám, et al.. (2020). ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. Journal of Chemical Information and Modeling. 60(10). 4506–4517. 36 indexed citations
10.
Raimondi, Daniele, Jaak Simm, Ádám Arany, et al.. (2020). An interpretable low-complexity machine learning framework for robust exome-based in-silico diagnosis of Crohn’s disease patients. NAR Genomics and Bioinformatics. 2(1). lqaa011–lqaa011. 17 indexed citations
11.
Brouwer, Edward De, Ádám Arany, Jaak Simm, & Yves Moreau. (2020). Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series. 1 indexed citations
12.
Brouwer, Edward De, Jaak Simm, Ádám Arany, & Yves Moreau. (2019). GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series. Lirias. 32. 7377–7388. 22 indexed citations
13.
Simm, Jaak, Günter Klambauer, Ádám Arany, et al.. (2018). Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. Cell chemical biology. 25(5). 611–618.e3. 140 indexed citations
14.
Zakeri, Pooya, Jaak Simm, Ádám Arany, Sarah ElShal, & Yves Moreau. (2018). Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information. Bioinformatics. 34(13). i447–i456. 22 indexed citations
15.
Hegyi, Márta, Ádám Arany, Ágnes F. Semsei, et al.. (2016). Pharmacogenetic analysis of high-dose methotrexate treatment in children with osteosarcoma. Oncotarget. 8(6). 9388–9398. 34 indexed citations
16.
Zakeri, Pooya, Jaak Simm, Ádám Arany, Sarah ElShal, & Yves Moreau. (2015). Gene Prioritization through Bayesian matrix factorization. Lirias (KU Leuven). 1 indexed citations
17.
Temesi, Gergely, et al.. (2014). Early Repositioning Through Compound Set Enrichment Analysis: A Knowledge-Recycling Strategy. Future Medicinal Chemistry. 6(5). 563–575. 8 indexed citations
18.
Arany, Ádám, et al.. (2013). Drug Repositioning for Treatment of Movement Disorders: From Serendipity to Rational Discovery Strategies. Current Topics in Medicinal Chemistry. 13(18). 2337–2363. 25 indexed citations
19.
Arany, Ádám, et al.. (2012). Multi-Aspect Candidates for Repositioning: Data Fusion Methods Using Heterogeneous Information Sources. Current Medicinal Chemistry. 20(1). 95–107. 11 indexed citations
20.
Marx, Péter, Ádám Arany, Zsolt Rónai, Péter Antal, & Mária Sasvári‐Székely. (2011). Genetic variability of the oxytocine receptor: an in silico study. PubMed. 13(3). 139–139. 2 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

Breakdown of academic impact, for papers by Ladislav Rampášek Breakdown of academic impact, for papers by Joshua Kangas Breakdown of academic impact, for papers by Samson Fong Breakdown of academic impact, for papers by Hailin Hu Breakdown of academic impact, for papers by Tolga Can Breakdown of academic impact, for papers by Somayah Albaradei Breakdown of academic impact, for papers by Maha A. Thafar Breakdown of academic impact, for papers by Kaitlyn Gayvert Breakdown of academic impact, for papers by Junlin Xu Breakdown of academic impact, for papers by Safiye Çelik
Rankless by CCL
2026