Danuta Leszczyńska
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 59
- Materials Chemistry top 2%
- Carbon Nanotubes in Composites 14
- Machine Learning in Materials Science 14
- Nanoparticles: synthesis and applications 11
- Environmental Chemistry top 2%
- Chemistry and Chemical Engineering 13
- Electrochemistry top 5%
- Water Science and Technology top 5%
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- Analytical Chemistry and Chromatography 13
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- Fullerene Chemistry and Applications 12
- Free Radicals and Antioxidants 9
- Co-authors
- Jerzy LeszczyńskiAndrey A. ToropovAlla P. ToropovaEmilio BenfenatiTomasz PuzynBakhtiyor RasulevGiuseppina GiniHrvoje Kušić
- Journals
- Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (1 paper)Environmental Science & Technology (1 paper)
- Partner nations
- United StatesItalyUkraine
In The Last Decade
Danuta Leszczyńska
147 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 147
- Computational Theory and Mathematics 1.5k
- Materials Chemistry 1.7k
- Environmental Chemistry 312
- Electrochemistry 174
- Water Science and Technology 392
Countries citing papers authored by Danuta Leszczyńska
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).
Fields of papers citing papers by Danuta Leszczyńska
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.
Co-authorship network
The 25 scholars most cited alongside Danuta Leszczyńska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2019 | 3 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 23 | |
| 5 | 2016 | 13 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 17 | |
| 8 | 2016 | 23 | |
| 9 | 2015 | 13 | |
| 10 | 2015 | 2 | |
| 11 | 2015 | 5 | |
| 12 | 2013 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2012 | 12 | |
| 15 | 2011 | 48 | |
| 16 | 2011 | 87 | |
| 17 | 2009 | 121 | |
| 18 | 2003 | 3 | |
| 19 | Picosecond laser pulses mediated drug release from magnetoliposomes | 1999 | 4 |
| 20 | Topical drug release from liposomes using laser pulses | 1999 | 1 |
About Danuta Leszczyńska
Danuta Leszczyńska is a scholar working on Computational Theory and Mathematics, Environmental Chemistry and Organic Chemistry, having authored 148 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (59 papers), Carbon Nanotubes in Composites (14 papers), Machine Learning in Materials Science (14 papers), Analytical Chemistry and Chromatography (13 papers), Chemistry and Chemical Engineering (13 papers), Fullerene Chemistry and Applications (12 papers), Nanoparticles: synthesis and applications (11 papers) and Free Radicals and Antioxidants (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Materials Chemistry (1.7k citations) and Environmental Chemistry (312 citations). Danuta Leszczyńska has collaborated with scholars based in United States, Italy and Ukraine. Frequent co-authors include Jerzy Leszczyński, Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati, Tomasz Puzyn, Bakhtiyor Rasulev, Giuseppina Gini, Hrvoje Kušić, T. C. Dinadayalane and Melánia Babincová. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.