Milen Todorov

637 total citations
22 papers, 320 citations indexed

About

Milen Todorov is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Cancer Research. According to data from OpenAlex, Milen Todorov has authored 22 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 5 papers in Organic Chemistry and 5 papers in Cancer Research. Recurrent topics in Milen Todorov's work include Computational Drug Discovery Methods (13 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Milen Todorov is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Milen Todorov collaborates with scholars based in Bulgaria, United States and Japan. Milen Todorov's co-authors include Ovanes Mekenyan, Aynur O. Aptula, Elard Jacob, Gergana Dimitrova, S. Dimitrov, P. Petkov, Erica Donner, Grace Patlewicz, Todor Pavlov and Patricia K. Schmieder and has published in prestigious journals such as Chemical Research in Toxicology, Journal of Chemical Information and Modeling and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Milen Todorov

20 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milen Todorov Bulgaria 11 163 82 71 68 53 22 320
Michael C. Laufersweiler United States 10 82 0.5× 129 1.6× 59 0.8× 111 1.6× 44 0.8× 14 373
Jeremy Fitzpatrick United States 9 117 0.7× 89 1.1× 13 0.2× 48 0.7× 29 0.5× 14 297
Amanda Giddings United Kingdom 8 53 0.3× 65 0.8× 72 1.0× 45 0.7× 27 0.5× 10 198
Jessica Graham United States 8 30 0.2× 96 1.2× 13 0.2× 24 0.4× 17 0.3× 21 199
Michael R. Goldsmith United States 9 19 0.1× 123 1.5× 25 0.4× 52 0.8× 54 1.0× 12 338
Andreas Zeller Switzerland 11 16 0.1× 179 2.2× 225 3.2× 116 1.7× 84 1.6× 27 409
Misha Itkin United States 5 109 0.7× 96 1.2× 14 0.2× 49 0.7× 10 0.2× 6 238
V. Thybaud France 8 21 0.1× 165 2.0× 297 4.2× 171 2.5× 125 2.4× 8 438
F. Gautier France 4 76 0.5× 26 0.3× 16 0.2× 62 0.9× 29 0.5× 7 205
P. Kasper Germany 8 10 0.1× 91 1.1× 121 1.7× 58 0.9× 59 1.1× 21 261

Countries citing papers authored by Milen Todorov

Since Specialization
Citations

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

Fields of papers citing papers by Milen Todorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milen Todorov

This figure shows the co-authorship network connecting the top 25 collaborators of Milen Todorov. A scholar is included among the top collaborators of Milen Todorov 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 Milen Todorov. Milen Todorov 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.
Todorov, Milen, et al.. (2019). An application of Virtual Reality technology in Education. 1–7. 2 indexed citations
2.
Vaupel, Andrea, Philipp Holzer, Stéphane Ferretti, et al.. (2018). In vitro and in vivo characterization of a novel, highly potent p53-MDM2 inhibitor. Bioorganic & Medicinal Chemistry Letters. 28(20). 3404–3408. 16 indexed citations
3.
4.
Petkov, P., T.W. Schultz, Erica Donner, et al.. (2016). Integrated approach to testing and assessment for predicting rodent genotoxic carcinogenicity. Journal of Applied Toxicology. 36(12). 1536–1550. 8 indexed citations
5.
Todorov, Milen. (2015). COMPUTATIONAL TOOLS FOR PREDICTION OF NUCLEAR RECEPTOR MEDIATED EFFECTS. 1. 46–56. 5 indexed citations
6.
Todorov, Milen. (2015). IN SILICO IDENTIFICATION OF HUMAN PREGNANE X RECEPTOR ACTIVATORS. 9. 9–17. 2 indexed citations
7.
Petkov, P., Grace Patlewicz, T.W. Schultz, et al.. (2015). A feasibility study: Can information collected to classify for mutagenicity be informative in predicting carcinogenicity?. Regulatory Toxicology and Pharmacology. 72(1). 17–25. 18 indexed citations
8.
Todorov, Milen. (2014). A QSAR evaluation of glucocorticoid receptor binding. 1 indexed citations
9.
Mekenyan, Ovanes, et al.. (2012). Simulation of chemical metabolism for fate and hazard assessment. V. Mammalian hazard assessment. SAR and QSAR in environmental research. 23(5-6). 553–606. 33 indexed citations
10.
Todorov, Milen, Enrico Mombelli, Sélim Aı̈t-Aı̈ssa, & Ovanes Mekenyan. (2011). Androgen receptor binding affinity: a QSAR evaluation. SAR and QSAR in environmental research. 22(3-4). 265–291. 17 indexed citations
11.
Marrot, Laurent, et al.. (2010). Development of a mechanistic SAR model for the detection of phototoxic chemicals and use in an integrated testing strategy. Toxicology in Vitro. 25(1). 324–334. 23 indexed citations
12.
Patlewicz, Grace, Ovanes Mekenyan, Gergana Dimitrova, et al.. (2010). Can mutagenicity information be useful in an Integrated Testing Strategy (ITS) for skin sensitization?. SAR and QSAR in environmental research. 21(7-8). 619–656. 9 indexed citations
13.
Mekenyan, Ovanes, Grace Patlewicz, Gergana Dimitrova, et al.. (2010). Use of Genotoxicity Information in the Development of Integrated Testing Strategies (ITS) for Skin Sensitization. Chemical Research in Toxicology. 23(10). 1519–1540. 19 indexed citations
14.
Aladjov, Hristo, et al.. (2009). Strategic selection of chemicals for testing. Part I. Functionalities and performance of basic selection methods. SAR and QSAR in environmental research. 20(1-2). 159–183. 5 indexed citations
15.
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
16.
Pavlov, Todor, et al.. (2007). Conformational Coverage by a Genetic Algorithm:  Saturation of Conformational Space. Journal of Chemical Information and Modeling. 47(3). 851–863. 23 indexed citations
17.
18.
Mekenyan, Ovanes, et al.. (2007). Identifying the Structural Requirements for Chromosomal Aberration by Incorporating Molecular Flexibility and Metabolic Activation of Chemicals. Chemical Research in Toxicology. 20(12). 1927–1941. 31 indexed citations
19.
20.
Mekenyan, Ovanes, et al.. (2005). 2D-3D Migration of Large Chemical Inventories with Conformational Multiplication. Application of the Genetic Algorithm. Journal of Chemical Information and Modeling. 45(2). 283–292. 15 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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