Danuta Leszczyńska

144 papers and 3.7k indexed citations i.

About

Danuta Leszczyńska is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Danuta Leszczyńska has authored 144 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Materials Chemistry, 56 papers in Computational Theory and Mathematics and 38 papers in Organic Chemistry. Recurrent topics in Danuta Leszczyńska’s work include Computational Drug Discovery Methods (56 papers), Machine Learning in Materials Science (14 papers) and Chemistry and Chemical Engineering (13 papers). Danuta Leszczyńska is often cited by papers focused on Computational Drug Discovery Methods (56 papers), Machine Learning in Materials Science (14 papers) and Chemistry and Chemical Engineering (13 papers). Danuta Leszczyńska collaborates with scholars based in United States, Italy and Ukraine. Danuta Leszczyńska's co-authors include Jerzy Leszczyński, Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati, Tomasz Puzyn, Bakhtiyor Rasulev, Giuseppina Gini, T. C. Dinadayalane, Hrvoje Kušić and Melánia Babincová and has published in prestigious journals such as Journal of the American Chemical Society, Environmental Science & Technology and The Journal of Physical Chemistry B.

In The Last Decade

Co-authorship network of co-authors of Danuta Leszczyńska i

Fields of papers citing papers by Danuta Leszczyńska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danuta Leszczyńska

Since Specialization
Citations

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