Sofya V. Lushchekina
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Pharmacology 83
- Cholinesterase and Neurodegenerative Diseases 83
-
- Computational Drug Discovery Methods 78
- Co-authors
- Patrick Masson (37 shared papers)Галина Ф. Махаева (40 shared papers)Natalia P. Boltneva (36 shared papers)Елена В. Рудакова (31 shared papers)С. О. Бачурин (24 shared papers)N. V. Kovaleva (30 shared papers)Alexander V. Nemukhin (21 shared papers)Rudy J. Richardson (25 shared papers)
- Journals
- Chemico-Biological Interactions (12 papers)Molecules (9 papers)Bioorganic Chemistry (4 papers)Biomolecules (4 papers)Bioorganic & Medicinal Chemistry (4 papers)
- Partner nations
- RussiaUnited StatesFrance
In The Last Decade
Sofya V. Lushchekina
102 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Pharmacology 1.2k
- Computational Theory and Mathematics 924
- Organic Chemistry 766
- Complementary and alternative medicine 100
- Molecular Biology 598
Countries citing papers authored by Sofya V. Lushchekina
This map shows the geographic impact of Sofya V. Lushchekina'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 Sofya V. Lushchekina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofya V. Lushchekina more than expected).
Fields of papers citing papers by Sofya V. Lushchekina
This network shows the impact of papers produced by Sofya V. Lushchekina. 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 Sofya V. Lushchekina. The network helps show where Sofya V. Lushchekina may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofya V. Lushchekina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2015 | 76 | |
| 3 | 2016 | 55 | |
| 4 | 2019 | 55 | |
| 5 | 2017 | 53 | |
| 6 | 2013 | 52 | |
| 7 | 2019 | 47 | |
| 8 | 2019 | 44 | |
| 9 | 2017 | 44 | |
| 10 | 2016 | 42 | |
| 11 | 2022 | 41 | |
| 12 | 2008 | 41 | |
| 13 | 2021 | 39 | |
| 14 | 2020 | 38 | |
| 15 | 2020 | 37 | |
| 16 | 2016 | 37 | |
| 17 | 2015 | 37 | |
| 18 | 2016 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2016 | 32 |
About Sofya V. Lushchekina
Sofya V. Lushchekina is a scholar working on Pharmacology, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Plant Science, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (83 papers), Computational Drug Discovery Methods (78 papers), Pesticide Exposure and Toxicity (21 papers), Synthesis and biological activity (20 papers), Protein Structure and Dynamics (12 papers), Chemical Reaction Mechanisms (7 papers), Synthesis and bioactivity of alkaloids (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Pharmacology (1.2k citations), Computational Theory and Mathematics (924 citations), Organic Chemistry (766 citations), Complementary and alternative medicine (100 citations) and Molecular Biology (598 citations). Sofya V. Lushchekina has collaborated with scholars based in Russia, United States and France. Frequent co-authors include Patrick Masson, Галина Ф. Махаева, Natalia P. Boltneva, Елена В. Рудакова, С. О. Бачурин, N. V. Kovaleva, Alexander V. Nemukhin, Rudy J. Richardson, С. Д. Варфоломеев and Olga G. Serebryakova. Their work appears in journals such as Chemico-Biological Interactions, Molecules, Bioorganic Chemistry, Biomolecules and Bioorganic & Medicinal Chemistry.
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.