Andreas Tsoumanis

865 total citations
36 papers, 358 citations indexed

About

Andreas Tsoumanis is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Andreas Tsoumanis has authored 36 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 14 papers in Computational Theory and Mathematics and 8 papers in Molecular Biology. Recurrent topics in Andreas Tsoumanis's work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (10 papers) and Nanoparticles: synthesis and applications (6 papers). Andreas Tsoumanis is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (10 papers) and Nanoparticles: synthesis and applications (6 papers). Andreas Tsoumanis collaborates with scholars based in Greece, United Kingdom and Cyprus. Andreas Tsoumanis's co-authors include Antreas Afantitis, Georgia Melagraki, Iseult Lynch, Eugenia Valsami‐Jones, Dimitra‐Danai Varsou, Anastasios G. Papadiamantis, Haralambos Sarimveis, Constantinos Siettos, Kaido Tämm and Panagiotis D. Kolokathis and has published in prestigious journals such as Small, Current Medicinal Chemistry and New Journal of Physics.

In The Last Decade

Andreas Tsoumanis

32 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Tsoumanis Greece 11 171 126 61 60 25 36 358
Dimitra‐Danai Varsou Greece 9 183 1.1× 106 0.8× 106 1.7× 51 0.8× 26 1.0× 23 340
Georgia Tsiliki Greece 14 219 1.3× 145 1.2× 85 1.4× 189 3.1× 35 1.4× 46 612
My Kieu Ha South Korea 11 235 1.4× 120 1.0× 111 1.8× 149 2.5× 16 0.6× 19 484
Sharon Gaheen United States 7 103 0.6× 46 0.4× 66 1.1× 47 0.8× 13 0.5× 8 231
Anastasios G. Papadiamantis United Kingdom 14 293 1.7× 235 1.9× 94 1.5× 163 2.7× 76 3.0× 34 656
Yang Huang China 11 221 1.3× 47 0.4× 130 2.1× 66 1.1× 28 1.1× 32 441
Jang-Sik Choi South Korea 6 157 0.9× 92 0.7× 87 1.4× 29 0.5× 13 0.5× 6 298
Qingda Zang United States 9 47 0.3× 154 1.2× 27 0.4× 95 1.6× 13 0.5× 12 451
Saroj Rani India 14 269 1.6× 30 0.2× 39 0.6× 44 0.7× 21 0.8× 51 537
Abdulelah S. Alshehri Saudi Arabia 8 164 1.0× 115 0.9× 40 0.7× 28 0.5× 14 0.6× 17 328

Countries citing papers authored by Andreas Tsoumanis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Tsoumanis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Tsoumanis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Tsoumanis. A scholar is included among the top collaborators of Andreas Tsoumanis 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 Andreas Tsoumanis. Andreas Tsoumanis 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.
Varsou, Dimitra‐Danai, Panagiotis D. Kolokathis, Andreas Tsoumanis, et al.. (2025). LungDepo: modelling the regional particle deposition in the human lung via the Enalos Cloud platform. Environmental Science Nano. 12(8). 3921–3937. 1 indexed citations
2.
Tsoumanis, Andreas, Iseult Lynch, Stefan Krause, et al.. (2025). MicroPlasticFate web application: Multimedia environmental fate modelling of microplastic particles via the Enalos Cloud Platform. Bioresource Technology Reports. 30. 102157–102157. 3 indexed citations
3.
Serra, Angela, Michele Fratello, Laura Aliisa Saarimäki, et al.. (2025). BMDx2: A Tool for Integrating Toxicogenomics‐Based Dose‐Dependency Analysis and AOP‐Based Mechanistic Insights. Small Methods. 9(12). e01728–e01728.
4.
Cheimarios, Nikolaos, Andreas Tsoumanis, Haralambos Sarimveis, et al.. (2025). Optimizing nanoparticle-mediated drug delivery: insights from compartmental modeling via the CompSafeNano cloud platform. RSC Sustainability. 3(3). 1494–1506. 2 indexed citations
6.
Αντωνίου, Μαρία, Dimitra‐Danai Varsou, Konstantinos D. Papavasileiou, et al.. (2025). Titania: an integrated tool for in silico molecular property prediction and NAM-based modeling. Molecular Diversity. 29(4). 3555–3573. 1 indexed citations
7.
Subbotina, Julia, Panagiotis D. Kolokathis, Andreas Tsoumanis, et al.. (2025). UANanoDock: A Web-Based UnitedAtom Multiscale Nanodocking Tool for Predicting Protein Adsorption onto Nanoparticles. Journal of Chemical Information and Modeling. 65(7). 3142–3153. 2 indexed citations
8.
Varsou, Dimitra‐Danai, Panagiotis D. Kolokathis, Μαρία Αντωνίου, et al.. (2025). SbD4Skin by EosCloud: Integrating multi-view molecular representation for predicting skin sensitization, irritation, and acute dermal toxicity. Computational and Structural Biotechnology Journal. 29. 222–235.
9.
Αντωνίου, Μαρία, Konstantinos D. Papavasileiou, Andreas Tsoumanis, Georgia Melagraki, & Antreas Afantitis. (2025). Predicting peroxisome proliferator-activated receptor gamma potency of small molecules: a synergistic consensus model and deep learning binding affinity approach powered by Enalos Cloud Platform. Molecular Diversity.
10.
Cheimarios, Nikolaos, Andreas Tsoumanis, Anastasios G. Papadiamantis, et al.. (2024). NanoBioAccumulate: Modelling the uptake and bioaccumulation of nanomaterials in soil and aquatic invertebrates via the Enalos DIAGONAL Cloud Platform. Computational and Structural Biotechnology Journal. 25. 243–255. 2 indexed citations
11.
Papavasileiou, Konstantinos D., Andreas Tsoumanis, Panagiotis Lagarias, et al.. (2024). PFAS-Biomolecule Interactions: Case Study Using Asclepios Nodes and Automated Workflows in KNIME for Drug Discovery and Toxicology. Methods in molecular biology. 2834. 393–441. 1 indexed citations
12.
Kolokathis, Panagiotis D., Evangelos Voyiatzis, Andreas Tsoumanis, et al.. (2024). ASCOT: A web tool for the digital construction of energy minimized Ag, CuO, TiO2 spherical nanoparticles and calculation of their atomistic descriptors. Computational and Structural Biotechnology Journal. 25. 34–46. 9 indexed citations
13.
Kolokathis, Panagiotis D., et al.. (2024). NanoTube Construct: A web tool for the digital construction of nanotubes of single-layer materials and the calculation of their atomistic descriptors powered by Enalos Cloud Platform. Computational and Structural Biotechnology Journal. 25. 230–242. 2 indexed citations
14.
Kolokathis, Panagiotis D., Evangelos Voyiatzis, Andreas Tsoumanis, et al.. (2024). NanoConstruct: A web application builder of ellipsoidal nanoparticles for the investigation of their crystal growth, stability, and the calculation of atomistic descriptors. Computational and Structural Biotechnology Journal. 25. 81–90. 6 indexed citations
15.
Varsou, Dimitra‐Danai, Panagiotis D. Kolokathis, Μαρία Αντωνίου, et al.. (2024). In silico assessment of nanoparticle toxicity powered by the Enalos Cloud Platform: Integrating automated machine learning and synthetic data for enhanced nanosafety evaluation. Computational and Structural Biotechnology Journal. 25. 47–60. 18 indexed citations
16.
Papadiamantis, Anastasios G., Antreas Afantitis, Andreas Tsoumanis, et al.. (2021). Computational enrichment of physicochemical data for the development of a ζ-potential read-across predictive model with Isalos Analytics Platform. NanoImpact. 22. 100308–100308. 18 indexed citations
17.
Saarimäki, Laura Aliisa, Antonio Federico, Iseult Lynch, et al.. (2021). Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials. Scientific Data. 8(1). 18 indexed citations
18.
Papadiamantis, Anastasios G., Jaak Jänes, Evangelos Voyiatzis, et al.. (2020). Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform. Nanomaterials. 10(10). 2017–2017. 40 indexed citations
19.
Varsou, Dimitra‐Danai, et al.. (2018). Enalos+ KNIME Nodes: New Cheminformatics Tools for Drug Discovery. Methods in molecular biology. 1824. 113–138. 11 indexed citations
20.
Tsoumanis, Andreas, et al.. (2009). Coarse-grained bifurcation analysis and detection of criticalities of an individual-based epidemiological network model with infection control. Applied Mathematical Modelling. 34(3). 552–560. 9 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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