Raisa N. Vasilenko

35 total papers · 531 total citations
19 papers, 412 citations indexed

About

Raisa N. Vasilenko is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Raisa N. Vasilenko has authored 19 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Food Science and 4 papers in Nutrition and Dietetics. Recurrent topics in Raisa N. Vasilenko's work include Probiotics and Fermented Foods (7 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Raisa N. Vasilenko is often cited by papers focused on Probiotics and Fermented Foods (7 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Microbial Metabolites in Food Biotechnology (3 papers). Raisa N. Vasilenko collaborates with scholars based in Russia, United States and United Kingdom. Raisa N. Vasilenko's co-authors include Vyacheslav M. Abramov, Vladimir N. Uversky, Anatoly M. Vasiliev, Anna V. Khodyakova, J. R. Gillespie, Anthony L. Fink, Ian S. Millett, Д. А. Долгих, Sebastian Doniach and В. С. Хлебников and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Raisa N. Vasilenko

17 papers receiving 403 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raisa N. Vasilenko 239 83 73 70 51 19 412
Michael J. Fiske 282 1.2× 35 0.4× 44 0.6× 39 0.6× 34 0.7× 14 470
Wan Seok Song 256 1.1× 35 0.4× 121 1.7× 37 0.5× 125 2.5× 31 472
Kei-ichi SHIMAZAKI 204 0.9× 66 0.8× 44 0.6× 88 1.3× 65 1.3× 29 396
Filo Silva 260 1.1× 34 0.4× 48 0.7× 36 0.5× 152 3.0× 16 379
Elżbieta Jagielska 225 0.9× 60 0.7× 33 0.5× 40 0.6× 61 1.2× 20 434
Manuela Dieckelmann 348 1.5× 25 0.3× 56 0.8× 22 0.3× 72 1.4× 10 478
Takehiro Nagatsuka 216 0.9× 37 0.4× 71 1.0× 24 0.3× 46 0.9× 19 397
S Z Hausman 151 0.6× 31 0.4× 40 0.5× 43 0.6× 80 1.6× 16 383
Philippe Dezélée 290 1.2× 32 0.4× 27 0.4× 39 0.6× 114 2.2× 24 438
Mireille Nishiyama 269 1.1× 69 0.8× 41 0.6× 16 0.2× 204 4.0× 9 483

Countries citing papers authored by Raisa N. Vasilenko

Since Specialization
Citations

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

Fields of papers citing papers by Raisa N. Vasilenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raisa N. Vasilenko. 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 Raisa N. Vasilenko. The network helps show where Raisa N. Vasilenko may publish in the future.

Co-authorship network of co-authors of Raisa N. Vasilenko

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

All Works

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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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