Inna Kuperstein

22 papers and 2.1k indexed citations i.

About

Inna Kuperstein is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Inna Kuperstein has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 4 papers in Physiology. Recurrent topics in Inna Kuperstein’s work include Bioinformatics and Genomic Networks (13 papers), Computational Drug Discovery Methods (10 papers) and Gene Regulatory Network Analysis (6 papers). Inna Kuperstein is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Computational Drug Discovery Methods (10 papers) and Gene Regulatory Network Analysis (6 papers). Inna Kuperstein collaborates with scholars based in France, United Kingdom and Luxembourg. Inna Kuperstein's co-authors include Andreï Zinovyev, Maria Kondratova, Vassili Soumelis, Floriane Pelon, Yann Kieffer, Laetitia Fuhrmann, Anne Vincent‐Salomon, Ana Costa, Fatima Mechta‐Grigoriou and Ilaria Magagna and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of Inna Kuperstein i

Fields of papers citing papers by Inna Kuperstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inna Kuperstein

Since Specialization
Citations

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

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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