Alla Toropova

319 papers receiving 6.0k citations

Peers

Alla Toropova
Comparison fields: 5 of 142
  • Computational Theory and Mathematics 4.4k
  • Environmental Chemistry 644
  • Organic Chemistry 1.3k
  • Spectroscopy 661
  • Health, Toxicology and Mutagenesis 523
Replace Andrey Andreevich Toropov with:
Andrey Andreevich Toropov Italy
Supratik Kar United States
Romualdo Benigni Italy
Alexander Golbraikh United States
Ester Papa Italy
James F. Rathman United States
David W. Roberts United Kingdom
Rudra Narayan Das India
Chihae Yang United States
Gilles Marcou France
Alla Toropova relative to Andrey Andreevich Toropov Italy Andrey Andreevich Toropov's profile →
Citations per field
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Andrey Andreevich Toropov · 1×
Citations per year

Countries citing papers authored by Alla Toropova

Since Specialization
Citations

This map shows the geographic impact of Alla 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 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 Toropova more than expected).

Fields of papers citing papers by Alla Toropova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alla Toropova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alla Toropova Line = papers co-authored together Alla Toropova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 326 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013130
2 2017108
3 2017101
4 201299
5 201192
6 201486
7 201383
8 202076
9 201375
10 201372
11 201470
12 201568
13 201161
14 201361
15 201760
16 201458
17 202058
18 201457
19 201356
20 201155

About Alla Toropova

Alla Toropova is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Spectroscopy, Environmental Chemistry and Materials Chemistry, having authored 326 papers that have together received 6.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (262 papers), Analytical Chemistry and Chromatography (56 papers), Machine Learning in Materials Science (49 papers), Free Radicals and Antioxidants (40 papers), Chemical Thermodynamics and Molecular Structure (33 papers), Chemistry and Chemical Engineering (32 papers), Thermal and Kinetic Analysis (24 papers) and Pesticide Residue Analysis and Safety (23 papers). The work is most often cited by research in Computational Theory and Mathematics (4.4k citations), Environmental Chemistry (644 citations), Organic Chemistry (1.3k citations), Spectroscopy (661 citations) and Health, Toxicology and Mutagenesis (523 citations). Alla Toropova has collaborated with scholars based in Italy, United States and Uzbekistan. Frequent co-authors include Andrey Andreevich Toropov, Emilio Benfenati, Jerzy Leszczyński, Danuta Leszczyńska, Giuseppina C. Gini, Aleksandar M. Veselinović, Alessandra Roncaglioni, Jovana B. Veselinović, Ivan Raška and Patnala Ganga Raju Achary. Their work appears in journals such as SAR and QSAR in environmental research, Chemosphere, Chemometrics and Intelligent Laboratory Systems, European Journal of Medicinal Chemistry and Chemical Physics Letters.

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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