Andreas Kukol

2.1k total citations
47 papers, 1.7k citations indexed

About

Andreas Kukol is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Andreas Kukol has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Spectroscopy. Recurrent topics in Andreas Kukol's work include Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (13 papers) and Lipid Membrane Structure and Behavior (13 papers). Andreas Kukol is often cited by papers focused on Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (13 papers) and Lipid Membrane Structure and Behavior (13 papers). Andreas Kukol collaborates with scholars based in United Kingdom, Germany and Estonia. Andreas Kukol's co-authors include Isaiah T. Arkin, Jaume Torres, Andrew J. Beevers, Luke M. Rice, Paul D. Adams, Axel T. Brünger, Lucy R. Forrest, Jonathan M. Goodman, Mark S.P. Sansom and Birgit Strodel and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Andreas Kukol

45 papers receiving 1.7k 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 Kukol United Kingdom 23 1.2k 293 202 187 180 47 1.7k
Pornthep Sompornpisut Thailand 24 1.3k 1.1× 158 0.5× 115 0.6× 228 1.2× 269 1.5× 78 1.9k
Dhilon S. Patel United States 24 1.3k 1.1× 115 0.4× 169 0.8× 152 0.8× 66 0.4× 37 2.1k
Gaetano Barbato Italy 23 1.6k 1.4× 398 1.4× 91 0.5× 402 2.1× 168 0.9× 53 2.4k
Vladimir Gelev United States 19 987 0.8× 264 0.9× 121 0.6× 150 0.8× 90 0.5× 30 1.4k
Gyula Batta Hungary 29 1.6k 1.3× 500 1.7× 107 0.5× 207 1.1× 132 0.7× 194 3.0k
Badry Bursulaya United States 31 1.5k 1.2× 186 0.6× 396 2.0× 287 1.5× 158 0.9× 57 3.4k
Ànna Pavlova United States 20 756 0.6× 195 0.7× 169 0.8× 188 1.0× 60 0.3× 44 1.4k
Renzo Bazzo Italy 19 1.3k 1.1× 280 1.0× 62 0.3× 141 0.8× 135 0.8× 38 1.9k
Thomas A. Frenkiel United Kingdom 25 1.3k 1.1× 691 2.4× 149 0.7× 303 1.6× 197 1.1× 39 2.6k
César Augusto F. de Oliveira United States 21 1.3k 1.1× 226 0.8× 252 1.2× 343 1.8× 53 0.3× 35 1.8k

Countries citing papers authored by Andreas Kukol

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kukol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Kukol

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Kukol. A scholar is included among the top collaborators of Andreas Kukol 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 Kukol. Andreas Kukol 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.
Kukol, Andreas, et al.. (2025). Harnessing viral internal proteins to combat flu and beyond. Virology. 604. 110414–110414.
2.
Rezaei, Zeinab, Hamid Moghimi, & Andreas Kukol. (2025). Comparison of Polyethylene Terephthalate (PET) Degrading Cutinases from Bacteria and Fungi: Structural Characterization and Molecular Docking Analysis. Applied Biochemistry and Biotechnology. 197(9). 5935–5955.
3.
Siddiqui, Shoib Sarwar, Andreas Kukol, George Ι. Lambrou, et al.. (2024). MicroRNA-Dependent Mechanisms Underlying the Function of a β-Amino Carbonyl Compound in Glioblastoma Cells. ACS Omega. 9(29). 31789–31802. 1 indexed citations
4.
Kukol, Andreas, et al.. (2020). Integrating molecular modelling methods to advance influenza A virus drug discovery. Drug Discovery Today. 26(2). 503–510. 25 indexed citations
5.
Kukol, Andreas, et al.. (2019). Prediction of ligands to universally conserved binding sites of the influenza a virus nuclear export protein. Virology. 537. 97–103. 10 indexed citations
7.
Kukol, Andreas, et al.. (2016). Evaluation of a novel virtual screening strategy using receptor decoy binding sites. Journal of Negative Results in BioMedicine. 15(1). 15–15. 5 indexed citations
8.
Kukol, Andreas & David J. Hughes. (2014). Large-scale analysis of influenza A virus nucleoprotein sequence conservation reveals potential drug-target sites. Virology. 454-455. 40–47. 32 indexed citations
9.
Kukol, Andreas. (2014). Lipid Membranes for Membrane Proteins. Methods in molecular biology. 1215. 73–90. 6 indexed citations
10.
Poojari, Chetan, Andreas Kukol, & Birgit Strodel. (2012). How the amyloid-β peptide and membranes affect each other: An extensive simulation study. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(2). 327–339. 62 indexed citations
11.
Kukol, Andreas. (2011). Consensus virtual screening approaches to predict protein ligands. European Journal of Medicinal Chemistry. 46(9). 4661–4664. 50 indexed citations
12.
Kukol, Andreas, et al.. (2009). Large-scale analysis of influenza A virus sequences reveals potential drug target sites of non-structural proteins. Journal of General Virology. 90(9). 2124–2133. 47 indexed citations
13.
Beevers, Andrew J. & Andreas Kukol. (2007). Phospholemman Transmembrane Structure Reveals Potential Interactions with Na+/K+-ATPase. Journal of Biological Chemistry. 282(45). 32742–32748. 11 indexed citations
14.
Kukol, Andreas, Peng Li, Pedro Estrela, Paul Ko Ferrigno, & P. Migliorato. (2007). Label-free electrical detection of DNA hybridization for the example of influenza virus gene sequences. Analytical Biochemistry. 374(1). 143–153. 48 indexed citations
15.
Beevers, Andrew J. & Andreas Kukol. (2006). The Transmembrane Domain of the Oncogenic Mutant ErbB-2 Receptor: A Structure Obtained from Site-specific Infrared Dichroism and Molecular Dynamics. Journal of Molecular Biology. 361(5). 945–953. 22 indexed citations
16.
Beevers, Andrew J. & Andreas Kukol. (2006). Systematic molecular dynamics searching in a lipid bilayer: Application to the glycophorin A and oncogenic ErbB-2 transmembrane domains. Journal of Molecular Graphics and Modelling. 25(2). 226–233. 18 indexed citations
17.
Torres, Jaume, Andreas Kukol, & Isaiah T. Arkin. (2001). Mapping the Energy Surface of Transmembrane Helix-Helix Interactions. Biophysical Journal. 81(5). 2681–2692. 24 indexed citations
18.
Forrest, Lucy R., Andreas Kukol, Isaiah T. Arkin, D. Peter Tieleman, & Mark S.P. Sansom. (2000). Exploring Models of the Influenza A M2 Channel: MD Simulations in a Phospholipid Bilayer. Biophysical Journal. 78(1). 55–69. 89 indexed citations
19.
Torres, Jaume, Andreas Kukol, & Isaiah T. Arkin. (2000). Use of a Single Glycine Residue to Determine the Tilt and Orientation of a Transmembrane Helix. A New Structural Label for Infrared Spectroscopy. Biophysical Journal. 79(6). 3139–3143. 47 indexed citations
20.
Kukol, Andreas & Isaiah T. Arkin. (1999). vpu Transmembrane Peptide Structure Obtained by Site-Specific Fourier Transform Infrared Dichroism and Global Molecular Dynamics Searching. Biophysical Journal. 77(3). 1594–1601. 81 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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