Alexander V. Dmitriev
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 26
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- Computational Drug Discovery Methods 36
- Toxicology top 10%
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 11
- Microbiology top 10%
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- Metabolomics and Mass Spectrometry Studies 17
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- Streptococcal Infections and Treatments 14
- Neonatal and Maternal Infections 10
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- Antimicrobial Resistance in Staphylococcus 9
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- Bacterial Identification and Susceptibility Testing 5
- Co-authors
- Vladimir PoroikovAnastasia V. RudikAlexey A. LaguninDmitry FilimonovPavel V. PogodinD.S. DruzhilovskiyTatyana A. GloriozovaSergey M. Ivanov
- Journals
- SHILAP Revista de lepidopterología (2 papers)Bioinformatics (1 paper)PLoS ONE (1 paper)
- Partner nations
- RussiaSlovakiaUnited States
In The Last Decade
Alexander V. Dmitriev
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Pharmacology 303
- Computational Theory and Mathematics 505
- Toxicology 27
- Spectroscopy 130
- Microbiology 47
Countries citing papers authored by Alexander V. Dmitriev
This map shows the geographic impact of Alexander V. Dmitriev'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 Alexander V. Dmitriev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander V. Dmitriev more than expected).
Fields of papers citing papers by Alexander V. Dmitriev
This network shows the impact of papers produced by Alexander V. Dmitriev. 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 Alexander V. Dmitriev. The network helps show where Alexander V. Dmitriev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander V. Dmitriev, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 38 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 36 | |
| 11 | 2016 | 24 | |
| 12 | 2014 | 41 | |
| 13 | 2007 | 33 | |
| 14 | 2006 | 10 | |
| 15 | 2006 | 8 | |
| 16 | 2004 | 4 | |
| 17 | 2004 | 7 | |
| 18 | Listeria monocytogenes in raw milk and dairy products | 2000 | 1 |
| 19 | 2000 | 2 | |
| 20 | 1997 | 3 |
About Alexander V. Dmitriev
Alexander V. Dmitriev is a scholar working on Pharmacology, Computational Theory and Mathematics and Clinical Biochemistry, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (36 papers), Pharmacogenetics and Drug Metabolism (26 papers), Metabolomics and Mass Spectrometry Studies (17 papers), Streptococcal Infections and Treatments (14 papers), Analytical Chemistry and Chromatography (11 papers), Neonatal and Maternal Infections (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Pharmacology (303 citations), Computational Theory and Mathematics (505 citations) and Toxicology (27 citations). Alexander V. Dmitriev has collaborated with scholars based in Russia, Slovakia and United States. Frequent co-authors include Vladimir Poroikov, Anastasia V. Rudik, Alexey A. Lagunin, Dmitry Filimonov, Pavel V. Pogodin, D.S. Druzhilovskiy, Tatyana A. Gloriozova, Sergey M. Ivanov, Olga Tarasova and Michael S. Chaussee. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.