M. A. Kisel

671 citations
37 papers · 563 · h-index 10

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Protein Kinase Regulation and GTPase Signaling 4
    • Metabolomics and Mass Spectrometry Studies 3
    • Mitochondrial Function and Pathology 3
    • Free Radicals and Antioxidants 12

M. A. Kisel

32 papers receiving 539 citations

Peers

M. A. Kisel
Comparison fields: 5 of 88
  • Pharmaceutical Science 83
  • Biochemistry 68
  • Organic Chemistry 193
  • Biophysics 33
  • Biochemistry 31
Replace Kiyoshi Iwamoto with:
Kiyoshi Iwamoto Japan
M. Laura Dántola Argentina
Chikara Fukaya Japan
J.G. Westra Netherlands
Jeffrey C. Baker United States
Mario Anastasia Italy
Reza Sedaghat‐Herati United States
Olivier Duval France
Júlia Visy Hungary
Ruchi Pandey India
M. A. Kisel relative to Kiyoshi Iwamoto Japan Kiyoshi Iwamoto's profile →
Citations per field
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Kiyoshi Iwamoto · 1×
Citations per year

Countries citing papers authored by M. A. Kisel

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Kisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Kisel. 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 M. A. Kisel. The network helps show where M. A. Kisel may publish in the future.

Co-authors

The 25 scholars most cited alongside M. A. Kisel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. A. Kisel Line = papers co-authored together M. A. Kisel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001120
2 2002103
3 200471
4 200442
5 200435
6 200828
7 198925
8 200323
9 200520
10 200418
11 20069
12 20108
13 20068
14 20046
15 20045
16 20035
17 20065
18 20114
19 20013
20 20013

About M. A. Kisel

M. A. Kisel is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Biophysics and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 563 indexed citations. Recurring topics across this work include Free Radicals and Antioxidants (12 papers), Lipid Membrane Structure and Behavior (8 papers), Biochemical effects in animals (4 papers), Electron Spin Resonance Studies (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Pharmaceutical Science (83 citations), Biochemistry (68 citations), Organic Chemistry (193 citations), Biophysics (33 citations) and Biochemistry (31 citations). M. A. Kisel has collaborated with scholars based in Belarus, Germany and Russia. Frequent co-authors include О. И. Шадыро, Irina Yurkova, Juergen Arnhold, O. Brede, Jürgen Arnhold, Iosif S. Tsybovsky, Liudmila Kulik, А П Власов, Dominik Hüster and Mariya Zhukova. Their work appears in journals such as Chemistry and Physics of Lipids, Bioorganic & Medicinal Chemistry Letters, International Journal of Radiation Biology, International Journal of Pharmaceutics and FEBS Letters.

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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