Alla P. Toropova

292 papers and 5.1k indexed citations i.

About

Alla P. Toropova is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Alla P. Toropova has authored 292 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 244 papers in Computational Theory and Mathematics, 93 papers in Organic Chemistry and 74 papers in Materials Chemistry. Recurrent topics in Alla P. Toropova’s work include Computational Drug Discovery Methods (244 papers), Analytical Chemistry and Chromatography (54 papers) and Machine Learning in Materials Science (41 papers). Alla P. Toropova is often cited by papers focused on Computational Drug Discovery Methods (244 papers), Analytical Chemistry and Chromatography (54 papers) and Machine Learning in Materials Science (41 papers). Alla P. Toropova collaborates with scholars based in Italy, United States and Serbia. Alla P. Toropova's co-authors include Andrey A. Toropov, Emilio Benfenati, Jerzy Leszczyński, Danuta Leszczyńska, Giuseppina Gini, Aleksandar M. Veselinović, Jovana B. Veselinović, Alessandra Roncaglioni, Ivan Raška and P. Ganga Raju Achary and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Alla P. Toropova i

Fields of papers citing papers by Alla P. Toropova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alla P. Toropova. 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 Alla P. Toropova. The network helps show where Alla P. Toropova may publish in the future.

Countries citing papers authored by Alla P. Toropova

Since Specialization
Citations

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