Inna Tishchenko

456 total citations
5 papers, 125 citations indexed

About

Inna Tishchenko is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Inna Tishchenko has authored 5 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in Inna Tishchenko's work include Bioinformatics and Genomic Networks (2 papers), Breast Cancer Treatment Studies (2 papers) and Gene expression and cancer classification (2 papers). Inna Tishchenko is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Breast Cancer Treatment Studies (2 papers) and Gene expression and cancer classification (2 papers). Inna Tishchenko collaborates with scholars based in Australia and Brazil. Inna Tishchenko's co-authors include Carlos Riveros, Heloisa Milioli, Pablo Moscato and Regina Berretta and has published in prestigious journals such as PLoS ONE, BMC Medical Genomics and BioData Mining.

In The Last Decade

Inna Tishchenko

5 papers receiving 123 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inna Tishchenko Australia 4 77 59 42 14 12 5 125
Youting Sun United States 7 136 1.8× 71 1.2× 39 0.9× 17 1.2× 7 0.6× 8 204
Stéphane Wenric United States 7 151 2.0× 109 1.8× 37 0.9× 19 1.4× 9 0.8× 14 230
Sitanshu Gakkhar Canada 5 110 1.4× 49 0.8× 49 1.2× 6 0.4× 23 1.9× 6 172
Simona Migliozzi Italy 4 45 0.6× 33 0.6× 21 0.5× 16 1.1× 5 0.4× 7 94
José Ángel Díaz Arias Spain 9 99 1.3× 38 0.6× 29 0.7× 11 0.8× 16 1.3× 20 184
Jean-Jacques Lebrun Canada 7 123 1.6× 31 0.5× 73 1.7× 14 1.0× 9 0.8× 7 187
Alberto Sogari Italy 4 66 0.9× 68 1.2× 51 1.2× 24 1.7× 4 0.3× 7 133
De Luca Italy 7 75 1.0× 65 1.1× 17 0.4× 19 1.4× 11 0.9× 21 162
Abdelrahman Hosny United States 4 73 0.9× 59 1.0× 33 0.8× 17 1.2× 10 0.8× 8 158
Isabel Guerra Spain 5 152 2.0× 76 1.3× 31 0.7× 8 0.6× 7 0.6× 8 202

Countries citing papers authored by Inna Tishchenko

Since Specialization
Citations

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

Fields of papers citing papers by Inna Tishchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Tishchenko

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

All Works

5 of 5 papers shown
1.
Milioli, Heloisa, Inna Tishchenko, Carlos Riveros, Regina Berretta, & Pablo Moscato. (2017). Basal-like breast cancer: molecular profiles, clinical features and survival outcomes. BMC Medical Genomics. 10(1). 19–19. 73 indexed citations
2.
Milioli, Heloisa, et al.. (2016). Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset. BioData Mining. 9(1). 2–2. 15 indexed citations
3.
Tishchenko, Inna, Heloisa Milioli, Carlos Riveros, & Pablo Moscato. (2016). Extensive Transcriptomic and Genomic Analysis Provides New Insights about Luminal Breast Cancers. PLoS ONE. 11(6). e0158259–e0158259. 17 indexed citations
4.
5.
Milioli, Heloisa, et al.. (2015). The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set. PLoS ONE. 10(7). e0129711–e0129711. 19 indexed citations

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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2026