Atanas Chapkanov
- Computational Theory and Mathematics top 5%
- Health, Toxicology and Mutagenesis top 10%
- Small Animals top 5%
- Molecular Biology
- Environmental Chemistry top 10%
- Co-authors
- Ovanes MekenyanChanita KusevaTodor PavlovTomasz SobańskiRobert DiderichNevena TodorovaT.W. SchultzS. Dimitrov
- Topics
- Computational Drug Discovery Methods (9 papers)Animal testing and alternatives (4 papers)Chemistry and Chemical Engineering (3 papers)
- Journals
- Environmental Toxicology and ChemistryRegulatory Toxicology and PharmacologySexually Transmitted Diseases
- Partner nations
- BulgariaUnited StatesNetherlands
In The Last Decade
Atanas Chapkanov
12 papers receiving 317 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 172
- Health, Toxicology and Mutagenesis 99
- Small Animals 70
- Molecular Biology 56
- Environmental Chemistry 55
Countries citing papers authored by Atanas Chapkanov
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 19 | |
| 8 | 34 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 175 | |
| 12 | 20 | |
| 13 | 2 |
About Atanas Chapkanov
Atanas Chapkanov is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Small Animals, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Animal testing and alternatives (4 papers) and Chemistry and Chemical Engineering (3 papers). The work is most often cited by research in Chemical Health and Safety (9 citations), Computational Theory and Mathematics (172 citations) and Small Animals (70 citations). Atanas Chapkanov has collaborated with scholars based in Bulgaria, United States and Netherlands. Frequent co-authors include Ovanes Mekenyan, Chanita Kuseva, Todor Pavlov, Tomasz Sobański, Robert Diderich, Nevena Todorova, T.W. Schultz, S. Dimitrov, Мarin Georgiev and Andrea Gissi. Their work appears in journals such as Environmental Toxicology and Chemistry, Regulatory Toxicology and Pharmacology and Sexually Transmitted Diseases.
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.