Ivanka Tsakovska
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Oncology
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Ilza PajevaPetko AlovAndrew WorthTatiana I. NetzevaManuela PavanSabrina DallavalleMiguel MachuqueiroLoretta Lazzarato
- Topics
- Computational Drug Discovery Methods (27 papers)Cancer therapeutics and mechanisms (7 papers)Drug Transport and Resistance Mechanisms (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesMolecules
- Partner nations
- BulgariaItalyUnited Kingdom
In The Last Decade
Ivanka Tsakovska
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 434
- Computational Theory and Mathematics 411
- Organic Chemistry 240
- Oncology 149
- Health, Toxicology and Mutagenesis 132
Countries citing papers authored by Ivanka Tsakovska
This map shows the geographic impact of Ivanka Tsakovska'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 Ivanka Tsakovska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivanka Tsakovska more than expected).
Fields of papers citing papers by Ivanka Tsakovska
This network shows the impact of papers produced by Ivanka Tsakovska. 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 Ivanka Tsakovska. The network helps show where Ivanka Tsakovska may publish in the future.
Co-authorship network of co-authors of Ivanka Tsakovska
This figure shows the co-authorship network connecting the top 25 collaborators of Ivanka Tsakovska. A scholar is included among the top collaborators of Ivanka Tsakovska 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 Ivanka Tsakovska. Ivanka Tsakovska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | Estimation of structural similarity between plant-derived phenolic compounds and drug molecules by virtual screening of DrugBank | 1 |
| 6 | 235 | |
| 7 | 67 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 72 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | The use of Computational Methods for the Assessment of Chemicals in REACH | 5 |
| 15 | 22 | |
| 16 | 21 | |
| 17 | Review of Quantitative Structure - Activity Relationships for Acute Mammalian Toxicity | 1 |
| 18 | 16 | |
| 19 | 58 | |
| 20 | 17 |
About Ivanka Tsakovska
Ivanka Tsakovska is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Biochemistry, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Cancer therapeutics and mechanisms (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (411 citations), Chemical Health and Safety (15 citations) and Pharmaceutical Science (111 citations). Ivanka Tsakovska has collaborated with scholars based in Bulgaria, Italy and United Kingdom. Frequent co-authors include Ilza Pajeva, Petko Alov, Andrew Worth, Tatiana I. Netzeva, Manuela Pavan, Sabrina Dallavalle, Miguel Machuqueiro, Loretta Lazzarato, Vladimir Dobričić and Elena Gazzano. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.
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.