Chanita Kuseva
- Computational Theory and Mathematics top 2%
- Small Animals top 2%
- Health, Toxicology and Mutagenesis top 5%
- Dermatology top 5%
- Plant Science
- Co-authors
- Ovanes MekenyanTodor PavlovT.W. SchultzRobert DiderichAtanas ChapkanovGrace PatlewiczTomasz SobańskiDavid W. Roberts
- Topics
- Computational Drug Discovery Methods (11 papers)Animal testing and alternatives (9 papers)Pesticide Exposure and Toxicity (6 papers)
- Journals
- Chemical Research in ToxicologyRegulatory Toxicology and PharmacologyMethods in molecular biology
- Partner nations
- BulgariaUnited StatesFrance
In The Last Decade
Chanita Kuseva
19 papers receiving 566 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 262
- Small Animals 164
- Health, Toxicology and Mutagenesis 151
- Dermatology 118
- Plant Science 104
Countries citing papers authored by Chanita Kuseva
This map shows the geographic impact of Chanita Kuseva'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 Chanita Kuseva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanita Kuseva more than expected).
Fields of papers citing papers by Chanita Kuseva
This network shows the impact of papers produced by Chanita Kuseva. 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 Chanita Kuseva. The network helps show where Chanita Kuseva may publish in the future.
Co-authorship network of co-authors of Chanita Kuseva
This figure shows the co-authorship network connecting the top 25 collaborators of Chanita Kuseva. A scholar is included among the top collaborators of Chanita Kuseva 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 Chanita Kuseva. Chanita Kuseva 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 | 5 | |
| 4 | 13 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 34 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 69 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 175 | |
| 16 | 32 | |
| 17 | 83 | |
| 18 | 33 | |
| 19 | 9 | |
| 20 | 19 |
About Chanita Kuseva
Chanita Kuseva is a scholar working on Chemical Health and Safety, Small Animals and Computational Theory and Mathematics, having authored 20 papers that have together received 582 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Animal testing and alternatives (9 papers) and Pesticide Exposure and Toxicity (6 papers). The work is most often cited by research in Chemical Health and Safety (16 citations), Small Animals (164 citations) and Computational Theory and Mathematics (262 citations). Chanita Kuseva has collaborated with scholars based in Bulgaria, United States and France. Frequent co-authors include Ovanes Mekenyan, Todor Pavlov, T.W. Schultz, Robert Diderich, Atanas Chapkanov, Grace Patlewicz, Tomasz Sobański, David W. Roberts, S. Dimitrov and Nevena Todorova. Their work appears in journals such as Chemical Research in Toxicology, Regulatory Toxicology and Pharmacology and Methods in molecular biology.
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.