Milen Todorov

41 total papers · 625 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 Free Radicals and Antioxidants (4 papers). Milen Todorov is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Free Radicals and Antioxidants (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, Patricia K. Schmieder and Todor Pavlov 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Milen Todorov 164 82 71 68 54 22 320
Yuki Sakuratani 134 0.8× 49 0.6× 32 0.5× 145 2.1× 32 0.6× 22 358
Christina Grindon 104 0.6× 48 0.6× 63 0.9× 144 2.1× 35 0.6× 24 366
Kristie Sullivan 76 0.5× 51 0.6× 21 0.3× 84 1.2× 30 0.6× 26 313
Manton R. Frierson 111 0.7× 92 1.1× 119 1.7× 45 0.7× 29 0.5× 13 315
Esther Vock 58 0.4× 130 1.6× 150 2.1× 79 1.2× 38 0.7× 16 333
Jeremy Fitzpatrick 116 0.7× 89 1.1× 13 0.2× 48 0.7× 29 0.5× 14 295
Atanas Chapkanov 167 1.0× 54 0.7× 25 0.4× 98 1.4× 53 1.0× 13 322
Marleen Pauwels 35 0.2× 79 1.0× 47 0.7× 67 1.0× 24 0.4× 24 305
Alina Efremenko 52 0.3× 72 0.9× 91 1.3× 171 2.5× 52 1.0× 20 314
Robert W. Rees 40 0.2× 152 1.9× 191 2.7× 95 1.4× 75 1.4× 17 342

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

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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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