A.I. Archakov
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
- Advanced Proteomics Techniques and Applications
Papers in
-
- Metabolomics and Mass Spectrometry Studies 5
- Pharmacology 16
- Pharmacogenetics and Drug Metabolism 15
- Co-authors
- G.I. Bachmanova (5 shared papers)Victoria V. Shumyantseva (12 shared papers)Tatiana V. Bulko (8 shared papers)Žilvinas Anusevičius (1 shared paper)Daiva Bironaitė (1 shared paper)Karin Öllinger (1 shared paper)Irina P. Kanaeva (4 shared papers)Alexey V. Kuzikov (7 shared papers)
In The Last Decade
A.I. Archakov
43 papers receiving 362 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 138
- Spectroscopy 73
- Electrochemistry 24
- Toxicology 13
- Computational Theory and Mathematics 56
Countries citing papers authored by A.I. Archakov
This map shows the geographic impact of A.I. Archakov'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 A.I. Archakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.I. Archakov more than expected).
Fields of papers citing papers by A.I. Archakov
This network shows the impact of papers produced by A.I. Archakov. 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 A.I. Archakov. The network helps show where A.I. Archakov may publish in the future.
Co-authors
The 25 scholars most cited alongside A.I. Archakov, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 54 | |
| 2 | 2006 | 40 | |
| 3 | 1991 | 33 | |
| 4 | 2009 | 24 | |
| 5 | 1992 | 19 | |
| 6 | 1994 | 13 | |
| 7 | 2017 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2010 | 10 | |
| 10 | 2010 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 1986 | 8 | |
| 13 | 1987 | 8 | |
| 14 | 2015 | 8 | |
| 15 | 1999 | 8 | |
| 16 | 2013 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 1975 | 6 | |
| 20 | 2011 | 6 |
About A.I. Archakov
A.I. Archakov is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Spectroscopy and Oncology, having authored 45 papers that have together received 370 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Electrochemical sensors and biosensors (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Pharmacology (138 citations), Spectroscopy (73 citations), Electrochemistry (24 citations), Toxicology (13 citations) and Computational Theory and Mathematics (56 citations). A.I. Archakov has collaborated with scholars based in Russia, Belarus and Germany. Frequent co-authors include G.I. Bachmanova, Victoria V. Shumyantseva, Tatiana V. Bulko, Žilvinas Anusevičius, Daiva Bironaitė, Karin Öllinger, Irina P. Kanaeva, Alexey V. Kuzikov, Г.П. Кузнецова and O. Ristau. Their work appears in journals such as Archives of Biochemistry and Biophysics, Xenobiotica, Biochemical and Biophysical Research Communications, Russian Chemical Reviews and IUBMB Life.
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.