Ivanka Tsakovska

1.7k citations
53 papers · 1.2k indexed · h-index 18

Ivanka Tsakovska

51 papers receiving 1.2k citations

Peers

Ivanka Tsakovska
Comparison fields: 5 of 116
  • Computational Theory and Mathematics 411
  • Chemical Health and Safety 15
  • Pharmaceutical Science 111
  • Small Animals 89
  • Biochemistry 64
Replace Andreas Czich with:
Andreas Czich Germany
Ilza Pajeva Bulgaria
Alexander Sedykh United States
Krista L. Dobo United States
David J. Snodin United Kingdom
Cecilia Bossa Italy
Zhiyan Xiao China
Zhengyin Yan United States
Bernhard H. Monien Germany
Patric Stenberg Sweden
Ivanka Tsakovska relative to Andreas Czich Germany Andreas Czich's profile →
Citations per field
00.5×6.4×
Andreas Czich · 1×
Citations per year

Countries citing papers authored by Ivanka Tsakovska

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ivanka Tsakovska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivanka Tsakovska Line = papers co-authored together Ivanka Tsakovska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20224
2 202118
3 20212
4 202012
5
Estimation of structural similarity between plant-derived phenolic compounds and drug molecules by virtual screening of DrugBank
20201
6 2020235
7 202067
8 20192
9 201712
10 201772
11 201619
12 20164
13 20141
14
The use of Computational Methods for the Assessment of Chemicals in REACH
20095
15 200722
16 200721
17
Review of Quantitative Structure - Activity Relationships for Acute Mammalian Toxicity
20061
18 200616
19 200558
20 200317

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), Drug Transport and Resistance Mechanisms (7 papers), Free Radicals and Antioxidants (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Synthesis and Characterization of Heterocyclic Compounds (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 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.

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