Mikhail Arshinov

2.2k total citations
79 papers, 794 citations indexed

About

Mikhail Arshinov is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Mikhail Arshinov has authored 79 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Global and Planetary Change, 68 papers in Atmospheric Science and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Mikhail Arshinov's work include Atmospheric and Environmental Gas Dynamics (57 papers), Atmospheric chemistry and aerosols (44 papers) and Atmospheric Ozone and Climate (34 papers). Mikhail Arshinov is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (57 papers), Atmospheric chemistry and aerosols (44 papers) and Atmospheric Ozone and Climate (34 papers). Mikhail Arshinov collaborates with scholars based in Russia, Japan and France. Mikhail Arshinov's co-authors include B. D. Belan, Toshinobu Machida, Denis Davydov, Motoki Sasakawa, A. V. Fofonov, Jean-Daniel Paris, Philippe Nédélec, Shamil Maksyutov, Philippe Ciais and Oleg A. Krasnov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Climate Change.

In The Last Decade

Mikhail Arshinov

69 papers receiving 775 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mikhail Arshinov Russia 17 709 675 78 65 49 79 794
C. E. Johnson United Kingdom 8 627 0.9× 669 1.0× 94 1.2× 86 1.3× 40 0.8× 13 820
B. D. Belan Russia 18 637 0.9× 657 1.0× 52 0.7× 150 2.3× 34 0.7× 126 831
Duane Kitzis United States 6 655 0.9× 502 0.7× 23 0.3× 15 0.2× 40 0.8× 7 735
S. R. Kawa United States 16 801 1.1× 693 1.0× 15 0.2× 52 0.8× 28 0.6× 35 882
V. Y. Chow United States 9 692 1.0× 509 0.8× 24 0.3× 80 1.2× 106 2.2× 10 793
Rodrigo Jiménez United States 14 465 0.7× 497 0.7× 63 0.8× 68 1.0× 25 0.5× 34 632
Nicolas Bousserez United States 15 547 0.8× 506 0.7× 28 0.4× 67 1.0× 19 0.4× 31 618
Rolf Graul Germany 8 444 0.6× 384 0.6× 23 0.3× 28 0.4× 24 0.5× 9 494
Leonid Yurganov United States 16 816 1.2× 834 1.2× 34 0.4× 94 1.4× 16 0.3× 43 935
Brad Weir United States 12 557 0.8× 441 0.7× 12 0.2× 28 0.4× 32 0.7× 33 641

Countries citing papers authored by Mikhail Arshinov

Since Specialization
Citations

This map shows the geographic impact of Mikhail Arshinov'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 Arshinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Arshinov more than expected).

Fields of papers citing papers by Mikhail Arshinov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Arshinov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Arshinov. A scholar is included among the top collaborators of Mikhail Arshinov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Arshinov. Mikhail Arshinov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sasakawa, Motoki, Toshinobu Machida, Mikhail Arshinov, et al.. (2025). Revised methodology for CO 2 and CH 4 measurements at remote sites using a working standard-gas-saving system. Atmospheric measurement techniques. 18(8). 1717–1730. 1 indexed citations
2.
Garmаsh, Olga, Ekaterina Ezhova, Mikhail Arshinov, et al.. (2024). Heatwave reveals potential for enhanced aerosol formation in Siberian boreal forest. Environmental Research Letters. 19(1). 14047–14047. 2 indexed citations
3.
Чарыков, Н. А., et al.. (2024). A universal algorithm for the calculation of vapor-liquid equilibrium diagrams in quasi-simple multicomponent systems. SHILAP Revista de lepidopterología. 27(1). 67–85.
4.
5.
Berchet, Antoine, Isabelle Pison, Marielle Saunois, et al.. (2023). Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019. Atmospheric chemistry and physics. 23(11). 6457–6485. 6 indexed citations
6.
Kondo, Masayuki, Motoki Sasakawa, Toshinobu Machida, Mikhail Arshinov, & Tetsuya Hiyama. (2023). Autumn cooling paused increased CO2 release in central Eurasia. Nature Climate Change. 13(4). 334–337. 1 indexed citations
7.
Antokhin, P. N., Mikhail Arshinov, B. D. Belan, et al.. (2023). Air composition over the Russian sector of the Arctic in September 2020. 1. Methane. Optika atmosfery i okeana. 36(2). 100–110. 1 indexed citations
8.
Kontkanen, Jenni, Ilona Ylivinkka, Ekaterina Ezhova, et al.. (2021). Occurrence of new particle formation events in Siberian and Finnish boreal forest. 4 indexed citations
9.
Arnold, S. R., Richard J. Pope, Dominick V. Spracklen, et al.. (2021). Late-spring and summertime tropospheric ozone and NO 2 in western Siberia and the Russian Arctic: regional model evaluation and sensitivities. Atmospheric chemistry and physics. 21(6). 4677–4697. 10 indexed citations
10.
Ezhova, Ekaterina, Ilona Ylivinkka, Joel Kuusk, et al.. (2018). Direct effect of aerosols on solar radiation and gross primary production in boreal and hemiboreal forests. Atmospheric chemistry and physics. 18(24). 17863–17881. 54 indexed citations
11.
Paasonen, Pauli, Risto Makkonen, Mikhail Arshinov, et al.. (2018). Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions. Atmospheric chemistry and physics. 18(13). 10039–10054. 10 indexed citations
12.
Antokhin, P. N., Mikhail Arshinov, B. D. Belan, et al.. (2018). Distribution of Trace Gases and Aerosols in the Troposphere Over Siberia During Wildfires of Summer 2012. Journal of Geophysical Research Atmospheres. 123(4). 2285–2297. 12 indexed citations
13.
Ono, Akiko, Sachiko Hayashida, T. Sugita, et al.. (2015). Comparison of GOSAT SWIR and Aircraft Measurements of XCH<sub>4</sub> over West Siberia. SOLA. 11(0). 160–164. 2 indexed citations
14.
Makarova, Maria, Mikhail Arshinov, Б А Воронин, et al.. (2014). First results of ground-based Fourier Transform Infrared measurements of the H2O total column in the atmosphere over West Siberia. International Journal of Remote Sensing. 35(15). 5637–5650. 5 indexed citations
15.
Antokhin, P. N., Mikhail Arshinov, B. D. Belan, et al.. (2013). Optik TU-134 aircraft laboratory. EGU General Assembly Conference Abstracts. 7 indexed citations
16.
Saeki, Tazu, Shamil Maksyutov, Motoki Sasakawa, et al.. (2012). Carbon flux estimation for Siberia by inverse modeling constrained by aircraft and tower CO 2 measurements. AGUFM. 2012. 1 indexed citations
17.
Belan, B. D., et al.. (2010). Simulation of Long-term Changes in the Surface Ozone and Aerosol Concentrations Based on the Solar Activity Data. EGUGA. 3194. 1 indexed citations
18.
19.
An, Sergeev, А. С. Сафатов, А. П. Агафонов, et al.. (2009). The comparison of the presence of chemical and biological markers in the surface microlayer of water areas of health resort zones at Lake Baikal and aerosol of this region.. Atmospheric and Oceanic Optics. 22(6). 585–594. 1 indexed citations
20.
Arshinov, Mikhail, et al.. (1970). Study Of Aerosol Nano-Particles And Their Interaction With Ozone. WIT Transactions on Ecology and the Environment. 35. 1 indexed citations

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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