Tatiana Kalinovsky

2.1k citations
79 papers · 1.7k indexed · 1 hit paper · h-index 21
Topics
Protease and Inhibitor Mechanisms (23 papers)Tea Polyphenols and Effects (23 papers)Tannin, Tannase and Anticancer Activities (18 papers)

In The Last Decade

Tatiana Kalinovsky

77 papers receiving 1.4k citations

Hit Papers

Anticancer Efficacy of Polyphenols and Their Combinations20162026201920222016100200300400

Peers

Tatiana Kalinovsky
Comparison fields: 5 of 121
  • Molecular Biology 564
  • Pathology and Forensic Medicine 427
  • Biochemistry 299
  • Cancer Research 298
  • Nutrition and Dietetics 255
Replace Matthias Rath with:
Matthias Rath Germany
Piwen Wang United States
Komal Raina United States
Yohei Shirakami Japan
Federica Rizzi Italy
Saleh A. Almatroodi Saudi Arabia
Sujit Nair India
Mou-Tuan Huang United States
Y R Lou United States
Darren N. Seril United States
Tatiana Kalinovsky relative to Matthias Rath Germany Matthias Rath's profile →
Citations per field
00.5×1.5×
Matthias Rath · 1×
Citations per year

Countries citing papers authored by Tatiana Kalinovsky

Since Specialization
Citations

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

Fields of papers citing papers by Tatiana Kalinovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatiana Kalinovsky

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 45
2 12
3 12
4 9
5 13
6 9
7 3
8 9
9 12
10 10
11 13
12 23
13 1
14 42
15 6
16 9
17 11
18 23
19 30
20 11

About Tatiana Kalinovsky

Tatiana Kalinovsky is a scholar working on Applied Microbiology and Biotechnology, Biochemistry and Cancer Research, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (23 papers), Tea Polyphenols and Effects (23 papers) and Tannin, Tannase and Anticancer Activities (18 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (137 citations), Biochemistry (299 citations) and Pathology and Forensic Medicine (427 citations). Frequent co-authors include Matthias Rath, Aleksandra Niedzwiecki, Vadim Ivanov, M. Waheed Roomi, M. Waheed Roomi, Aleksandra Niedzwiecki, John Cha, Matthias Rath, R J Jariwalla and P. G. Deryabin. Their work appears in journals such as Nutrients, Cancer and Metastasis Reviews and Breast Cancer Research.

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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