Mikhail V. Gorshkov
- Spectroscopy top 0.2%
- Mass Spectrometry Techniques and Applications 90
- Advanced Proteomics Techniques and Applications 80
- Analytical Chemistry and Chromatography 39
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 37
- Protein purification and stability 14
- Machine Learning in Bioinformatics 8
- Analytical Chemistry top 2%
- Computational Mechanics top 5%
- Ion-surface interactions and analysis 11
- Radiation top 10%
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- Atomic and Molecular Physics 10
- Co-authors
- Mark V. IvanovLev I. LevitskyЕ. Н. НиколаевIrina A. TarasovaYury O. TsybinRichard SmithAnna A. LobasRoman A. Zubarev
- Journals
- Analytical Chemistry (15 papers)International Journal of Molecular Sciences (2 papers)Physical Review A (2 papers)
- Partner nations
- RussiaUnited StatesSwitzerland
In The Last Decade
Mikhail V. Gorshkov
134 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 127
- Spectroscopy 2.2k
- Molecular Biology 1.5k
- Analytical Chemistry 169
- Computational Mechanics 290
- Radiation 61
Countries citing papers authored by Mikhail V. Gorshkov
This map shows the geographic impact of Mikhail V. Gorshkov'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 Mikhail V. Gorshkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail V. Gorshkov more than expected).
Fields of papers citing papers by Mikhail V. Gorshkov
This network shows the impact of papers produced by Mikhail V. Gorshkov. 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 Mikhail V. Gorshkov. The network helps show where Mikhail V. Gorshkov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mikhail V. Gorshkov, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 7 | |
| 14 | 2018 | 10 | |
| 15 | 2010 | 13 | |
| 16 | 2008 | 20 | |
| 17 | 2001 | 101 | |
| 18 | 2001 | 11 | |
| 19 | Determination of the nuclear magnetic moment of a deuterium atom with an accuracy of 1.3·10 -9 | 1989 | 0 |
| 20 | Ion-cyclotron-resonance measurement of the mass difference between tritium and helium-3 | 1984 | 2 |
About Mikhail V. Gorshkov
Mikhail V. Gorshkov is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry, having authored 142 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (90 papers), Advanced Proteomics Techniques and Applications (80 papers), Analytical Chemistry and Chromatography (39 papers), Metabolomics and Mass Spectrometry Studies (37 papers), Protein purification and stability (14 papers), Ion-surface interactions and analysis (11 papers), Atomic and Molecular Physics (10 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Spectroscopy (2.2k citations), Molecular Biology (1.5k citations) and Analytical Chemistry (169 citations). Mikhail V. Gorshkov has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include Mark V. Ivanov, Lev I. Levitsky, Е. Н. Николаев, Irina A. Tarasova, Yury O. Tsybin, Richard Smith, Anna A. Lobas, Roman A. Zubarev, Frank Kjeldsen and Julia A. Bubis. Their work appears in journals such as Analytical Chemistry, International Journal of Molecular Sciences and Physical Review A.
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.