Atanas Chapkanov

453 total citations
13 papers, 328 citations indexed

About

Atanas Chapkanov is a scholar working on Computational Theory and Mathematics, Small Animals and Food Science. According to data from OpenAlex, Atanas Chapkanov has authored 13 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 4 papers in Small Animals and 4 papers in Food Science. Recurrent topics in Atanas Chapkanov's work include Computational Drug Discovery Methods (9 papers), Animal testing and alternatives (4 papers) and Chemistry and Chemical Engineering (3 papers). Atanas Chapkanov is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Animal testing and alternatives (4 papers) and Chemistry and Chemical Engineering (3 papers). Atanas Chapkanov collaborates with scholars based in Bulgaria, United States and Netherlands. Atanas Chapkanov's co-authors include Ovanes Mekenyan, Chanita Kuseva, Todor Pavlov, Tomasz Sobański, S. Dimitrov, Nevena Todorova, T.W. Schultz, Robert Diderich, Мarin Georgiev and Andrea Gissi and has published in prestigious journals such as Environmental Toxicology and Chemistry, Regulatory Toxicology and Pharmacology and Sexually Transmitted Diseases.

In The Last Decade

Atanas Chapkanov

12 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atanas Chapkanov Bulgaria 8 172 99 70 56 55 13 328
Robert Diderich France 4 150 0.9× 102 1.0× 59 0.8× 53 0.9× 55 1.0× 5 309
Yuki Sakuratani Japan 10 134 0.8× 145 1.5× 68 1.0× 49 0.9× 36 0.7× 23 360
Claire M. Ellison United Kingdom 11 242 1.4× 158 1.6× 77 1.1× 91 1.6× 55 1.0× 14 469
James W. Firman United Kingdom 14 216 1.3× 131 1.3× 117 1.7× 114 2.0× 71 1.3× 38 487
Mark Nelms United States 12 140 0.8× 106 1.1× 76 1.1× 80 1.4× 25 0.5× 29 321
Andrea Gissi Italy 12 189 1.1× 95 1.0× 63 0.9× 49 0.9× 47 0.9× 13 326
Prachi Pradeep United States 14 166 1.0× 192 1.9× 127 1.8× 60 1.1× 68 1.2× 23 442
Elton Zvinavashe Netherlands 8 170 1.0× 139 1.4× 48 0.7× 48 0.9× 44 0.8× 8 318
Arianna Bassan Italy 13 245 1.4× 135 1.4× 71 1.0× 96 1.7× 57 1.0× 30 501
Worth Andrew 15 152 0.9× 183 1.8× 94 1.3× 58 1.0× 44 0.8× 36 449

Countries citing papers authored by Atanas Chapkanov

Since Specialization
Citations

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

Fields of papers citing papers by Atanas Chapkanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atanas Chapkanov

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

All Works

13 of 13 papers shown
1.
Chapkanov, Atanas, et al.. (2023). Estimating uncertainty in LLNA EC3 data and its impact on regulatory classifications. Regulatory Toxicology and Pharmacology. 139. 105357–105357.
2.
Kuseva, Chanita, et al.. (2022). Predicting explosive properties of chemicals accounting for thermodynamic and kinetic factors. Computational Toxicology. 23. 100230–100230. 3 indexed citations
3.
Schultz, T.W., et al.. (2022). Assessment of uncertainty and credibility of predictions by the OECD QSAR Toolbox automated read-across workflow for predicting acute oral toxicity. Computational Toxicology. 22. 100219–100219. 2 indexed citations
4.
Georgiev, Мarin, et al.. (2021). Automated read-across workflow for predicting acute oral toxicity: I. The decision scheme in the QSAR toolbox. Regulatory Toxicology and Pharmacology. 125. 105015–105015. 21 indexed citations
5.
Patterson, Timothy, Colin M. North, Louise Camenzuli, et al.. (2021). Selection of Representative Constituents for Unknown, Variable, Complex, or Biological Origin Substance Assessment Based on Hierarchical Clustering. Environmental Toxicology and Chemistry. 40(11). 3205–3218. 4 indexed citations
6.
Schultz, T.W., et al.. (2021). The QSAR Toolbox automated read-across workflow for predicting acute oral toxicity: II. Verification and validation. Computational Toxicology. 20. 100194–100194. 17 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.
Kuseva, Chanita, Todor Pavlov, Atanas Chapkanov, et al.. (2019). Using metabolic information for categorization and read-across in the OECD QSAR Toolbox. Computational Toxicology. 12. 100102–100102. 16 indexed citations
9.
Kuseva, Chanita, T.W. Schultz, Todor Pavlov, et al.. (2019). The implementation of RAAF in the OECD QSAR Toolbox. Regulatory Toxicology and Pharmacology. 105. 51–61. 19 indexed citations
10.
Kuseva, Chanita, T.W. Schultz, Todor Pavlov, et al.. (2019). Category consistency in the OECD QSAR Toolbox: Assessment and reporting tool to justify read-across. Computational Toxicology. 11. 65–71. 15 indexed citations
11.
Dimitrov, S., Robert Diderich, Tomasz Sobański, et al.. (2016). QSAR Toolbox – workflow and major functionalities. SAR and QSAR in environmental research. 27(3). 203–219. 175 indexed citations
12.
Kolanczyk, Richard C., Patricia K. Schmieder, William Jones, et al.. (2012). MetaPath: An electronic knowledge base for collating, exchanging and analyzing case studies of xenobiotic metabolism. Regulatory Toxicology and Pharmacology. 63(1). 84–96. 20 indexed citations
13.
Chapkanov, Atanas, et al.. (2009). Gummatous Cutaneous Syphilis. Sexually Transmitted Diseases. 36(4). 239–240. 2 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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