Ovanes Mekenyan

6.4k total citations
173 papers, 4.6k citations indexed

About

Ovanes Mekenyan is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ovanes Mekenyan has authored 173 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Computational Theory and Mathematics, 46 papers in Organic Chemistry and 43 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ovanes Mekenyan's work include Computational Drug Discovery Methods (114 papers), Free Radicals and Antioxidants (36 papers) and Analytical Chemistry and Chromatography (29 papers). Ovanes Mekenyan is often cited by papers focused on Computational Drug Discovery Methods (114 papers), Free Radicals and Antioxidants (36 papers) and Analytical Chemistry and Chromatography (29 papers). Ovanes Mekenyan collaborates with scholars based in Bulgaria, United States and Japan. Ovanes Mekenyan's co-authors include S. Dimitrov, Gilman D. Veith, Gerald T. Ankley, Danail Bonchev, Todor Pavlov, Daniel J. Call, Steven P. Bradbury, John D. Walker, Stoyan Karabunarliev and Nadezhda Dimitrova and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Ovanes Mekenyan

169 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ovanes Mekenyan Bulgaria 39 2.2k 1.6k 860 759 702 173 4.6k
Joanna Jaworska Poland 30 2.0k 0.9× 990 0.6× 577 0.7× 607 0.8× 1.0k 1.5× 76 4.7k
T.W. Schultz United States 48 2.8k 1.2× 2.6k 1.6× 1.4k 1.6× 1.2k 1.6× 1.5k 2.2× 231 7.5k
Judith C. Madden United Kingdom 32 1.2k 0.6× 740 0.5× 373 0.4× 363 0.5× 627 0.9× 104 3.0k
Romualdo Benigni Italy 37 2.9k 1.3× 950 0.6× 271 0.3× 835 1.1× 1.6k 2.3× 148 5.5k
Grace Patlewicz United States 46 2.5k 1.1× 2.4k 1.5× 527 0.6× 617 0.8× 1.2k 1.7× 172 7.7k
Gilman D. Veith United States 34 1.3k 0.6× 2.2k 1.3× 940 1.1× 659 0.9× 411 0.6× 76 4.1k
Steven J. Enoch United Kingdom 31 1.2k 0.5× 720 0.4× 236 0.3× 328 0.4× 573 0.8× 79 2.7k
Kamel Mansouri United States 25 1.7k 0.7× 1.5k 0.9× 492 0.6× 215 0.3× 1.1k 1.6× 52 4.0k
Ann M. Richard United States 50 3.9k 1.7× 4.1k 2.5× 938 1.1× 498 0.7× 2.9k 4.1× 116 10.2k
Chihae Yang United States 25 1.9k 0.8× 653 0.4× 168 0.2× 343 0.5× 1.2k 1.7× 71 3.4k

Countries citing papers authored by Ovanes Mekenyan

Since Specialization
Citations

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

Fields of papers citing papers by Ovanes Mekenyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ovanes Mekenyan

This figure shows the co-authorship network connecting the top 25 collaborators of Ovanes Mekenyan. A scholar is included among the top collaborators of Ovanes Mekenyan 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 Ovanes Mekenyan. Ovanes Mekenyan 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.
Chapkanov, Atanas, et al.. (2023). Estimating uncertainty in LLNA EC3 data and its impact on regulatory classifications. Regulatory Toxicology and Pharmacology. 139. 105357–105357.
3.
Kuseva, Chanita, et al.. (2022). Predicting explosive properties of chemicals accounting for thermodynamic and kinetic factors. Computational Toxicology. 23. 100230–100230. 3 indexed citations
4.
Dimitrova, Nadezhda, et al.. (2022). Estimating the reliability of simulated metabolism using documented data and theoretical knowledge. QSAR application. Computational Toxicology. 22. 100218–100218. 1 indexed citations
5.
Dimitrova, Gergana, et al.. (2020). Modeling hazard assessment of chemicals based on adducts formation. I. A basis for inclusion of kinetic factors in simulating skin sensitization. Computational Toxicology. 15. 100130–100130. 6 indexed citations
6.
Petkov, P., et al.. (2020). Criteria for assessing the reliability of toxicity predictions: I. TIMES Ames mutagenicity model. Computational Toxicology. 17. 100143–100143. 8 indexed citations
7.
Schultz, T.W., Chanita Kuseva, Todor Pavlov, et al.. (2019). Automated and standardized workflows in the OECD QSAR Toolbox. Computational Toxicology. 10. 89–104. 34 indexed citations
8.
Lindim, C., et al.. (2017). Model-predicted occurrence of multiple pharmaceuticals in Swedish surface waters and their flushing to the Baltic Sea. Environmental Pollution. 223. 595–604. 22 indexed citations
9.
Lindim, C., et al.. (2016). Evaluation of human pharmaceutical emissions and concentrations in Swedish river basins. The Science of The Total Environment. 572. 508–519. 73 indexed citations
10.
Petkov, P., et al.. (2009). Mechanism-based categorization of aromatase inhibitors: a potential discovery and screening tool. SAR and QSAR in environmental research. 20(7-8). 657–678. 15 indexed citations
11.
Todorov, Milen, et al.. (2007). QSAR and mechanistic interpretation of estrogen receptor binding. SAR and QSAR in environmental research. 18(3-4). 389–421. 25 indexed citations
12.
Patlewicz, Grace, S. Dimitrov, Lawrence K. Low, et al.. (2007). TIMES-SS—A promising tool for the assessment of skin sensitization hazard. A characterization with respect to the OECD validation principles for (Q)SARs and an external evaluation for predictivity. Regulatory Toxicology and Pharmacology. 48(2). 225–239. 78 indexed citations
13.
Roberts, David W., Grace Patlewicz, S. Dimitrov, et al.. (2007). TIMES-SS—A Mechanistic Evaluation of an External Validation Study Using Reaction Chemistry Principles. Chemical Research in Toxicology. 20(9). 1321–1330. 48 indexed citations
14.
15.
Mekenyan, Ovanes, S. Dimitrov, P. Schmieder, & Gabriel M. Veith. (2003). In silicomodelling of hazard endpoints: current problems and perspectives. SAR and QSAR in environmental research. 14(5-6). 361–371. 15 indexed citations
16.
Mekenyan, Ovanes. (2000). A Computationally Based Identification Algorithm for Estrogen Receptor Ligands: Part 2. Evaluation of a hERalpha Binding Affinity Model. Toxicological Sciences. 58(2). 270–281. 33 indexed citations
17.
Mekenyan, Ovanes, et al.. (1996). Estimating one-electron Reduction Potentials of Quinones. SAR and QSAR in environmental research. 5(4). 255–268. 3 indexed citations
18.
Mekenyan, Ovanes & Gilman D. Veith. (1993). Relationships Between Descriptors for Hydrophobicity and Soft Electrophilicity in Predicting Toxicity. SAR and QSAR in environmental research. 1(4). 335–344. 53 indexed citations
19.
Mekenyan, Ovanes, Stoyan Karabunarliev, & Danail Bonchev. (1990). The microcomputer OASIS system for predicting the biological activity of chemical compounds. Computers & Chemistry. 14(3). 193–200. 46 indexed citations
20.
Bonchev, Danail, Alexandrù T. Balaban, & Ovanes Mekenyan. (1980). Generalization of the Graph Center Concept, and Derived Topological Centric Indexes. Journal of Chemical Information and Computer Sciences. 20(2). 106–113. 64 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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