Vedat Durmaz

570 total citations
12 papers, 329 citations indexed

About

Vedat Durmaz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Vedat Durmaz has authored 12 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Vedat Durmaz's work include Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (2 papers). Vedat Durmaz is often cited by papers focused on Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (2 papers). Vedat Durmaz collaborates with scholars based in Germany, United States and Austria. Vedat Durmaz's co-authors include Marcus Weber, Giovanna Del Vecchio, Antonio Rodríguez‐Gaztelumendi, Christoph Stein, Halina Machelska, Nicolas Massaly, Viola Spahn, Marco Reidelbach, Julia Temp and Dominika Łabuz and has published in prestigious journals such as Science, Water Research and Journal of Agricultural and Food Chemistry.

In The Last Decade

Vedat Durmaz

12 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vedat Durmaz Germany 9 138 100 69 52 34 12 329
Anand Kumar Pandey India 13 120 0.9× 19 0.2× 38 0.6× 60 1.2× 60 1.8× 53 373
Gregory E. Garcia United States 14 139 1.0× 55 0.6× 69 1.0× 38 0.7× 226 6.6× 25 679
Sheikh Zahir Raihan Bangladesh 12 230 1.7× 81 0.8× 18 0.3× 10 0.2× 115 3.4× 35 471
Paula Kiuru Finland 15 184 1.3× 38 0.4× 15 0.2× 13 0.3× 13 0.4× 29 594
Jan Misík Czechia 15 74 0.5× 39 0.4× 26 0.4× 52 1.0× 309 9.1× 44 638
Nikola Pluym Germany 16 178 1.3× 40 0.4× 148 2.1× 28 0.5× 19 0.6× 51 601
Stephen C. Mitchell United Kingdom 13 232 1.7× 13 0.1× 83 1.2× 17 0.3× 57 1.7× 42 575
A. Santos-Fandila Spain 8 104 0.8× 33 0.3× 36 0.5× 23 0.4× 12 0.4× 11 356
Mohamed-Bassem A. Ashour Egypt 9 110 0.8× 22 0.2× 9 0.1× 40 0.8× 89 2.6× 19 332

Countries citing papers authored by Vedat Durmaz

Since Specialization
Citations

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

Fields of papers citing papers by Vedat Durmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vedat Durmaz

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

All Works

12 of 12 papers shown
1.
Durmaz, Vedat, A. Krassnigg, Martina Loibner, et al.. (2023). Identification and validation of fusidic acid and flufenamic acid as inhibitors of SARS-CoV-2 replication using DrugSolver CavitomiX. Scientific Reports. 13(1). 11783–11783. 16 indexed citations
2.
Durmaz, Vedat, A. Krassnigg, Alexander M. Korsunsky, et al.. (2022). Structural bioinformatics analysis of SARS-CoV-2 variants reveals higher hACE2 receptor binding affinity for Omicron B.1.1.529 spike RBD compared to wild type reference. Scientific Reports. 12(1). 14534–14534. 12 indexed citations
3.
Spahn, Viola, Giovanna Del Vecchio, Dominika Łabuz, et al.. (2017). A nontoxic pain killer designed by modeling of pathological receptor conformations. Science. 355(6328). 966–969. 174 indexed citations
4.
Eversloh, Christian Lütke, et al.. (2016). Effects of carbamazepine and two of its metabolites on the non-biting midge Chironomus riparius in a sediment full life cycle toxicity test. Water Research. 98. 19–27. 54 indexed citations
5.
Koschek, Katharina, Vedat Durmaz, Oxana Krylova, et al.. (2015). Peptide–polymer ligands for a tandem WW-domain, an adaptive multivalent protein–protein interaction: lessons on the thermodynamic fitness of flexible ligands. Beilstein Journal of Organic Chemistry. 11. 837–847. 8 indexed citations
6.
Merkel, Stefan, Vedat Durmaz, Konstantin Fackeldey, et al.. (2014). Investigation of the Ergopeptide Epimerization Process. Computation. 2(3). 102–111. 11 indexed citations
7.
Durmaz, Vedat, et al.. (2013). Medizin aus dem Computer. Zeitschrift für Rheumatologie. 72(8). 809–813. 1 indexed citations
8.
Durmaz, Vedat, et al.. (2013). Hands-off Linear Interaction Energy Approach to Binding Mode and Affinity Estimation of Estrogens. Journal of Chemical Information and Modeling. 53(10). 2681–2688. 11 indexed citations
9.
Köppen, Robert, et al.. (2012). Photochemical trans-/cis-Isomerization and Quantitation of Zearalenone in Edible Oils. Journal of Agricultural and Food Chemistry. 60(47). 11733–11740. 29 indexed citations
10.
Durmaz, Vedat, Marcus Weber, & Roland Becker. (2011). How to simulate affinities for host–guest systems lacking binding mode information: application to the liquid chromatographic separation of hexabromocyclododecane stereoisomers. Journal of Molecular Modeling. 18(6). 2399–2408. 3 indexed citations
11.
Weber, Marcus, Roland Becker, Vedat Durmaz, & Robert Köppen. (2008). Classical hybrid Monte-Carlo simulation of the interconversion of hexabromocyclododecane stereoisomers. Molecular Simulation. 34(7). 727–736. 9 indexed citations
12.
Weber, Marcus, Roland Becker, Robert Köppen, & Vedat Durmaz. (2007). Classical hybrid Monte-Carlo simulations of the interconversion of hexabromocyclododecane. 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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