A. V. Alessenko

755 citations
35 papers · 585 · h-index 13

Impact in

  • Biochemistry top 10%
    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Sphingolipid Metabolism and Signaling 26
    • Lipid Membrane Structure and Behavior 7
    • Cell death mechanisms and regulation 4
    • Alzheimer's disease research and treatments 5

A. V. Alessenko

32 papers receiving 572 citations

Peers

A. V. Alessenko
Comparison fields: 5 of 79
  • Biochemistry 54
  • Molecular Biology 438
  • Cell Biology 103
  • Physiology 146
  • Biological Psychiatry 14
Replace Ruth A. Valero with:
Ruth A. Valero Spain
Qiuhong Duan China
Birgit Honrath Germany
Ismail Kaddour‐Djebbar United States
Irina Alecu Switzerland
Matthew Redmann United States
Bonnie C. Miller United States
Uzma Saeed India
Shuvadeep Maity India
Joo Young Im South Korea
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Citations per field
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Citations per year

Countries citing papers authored by A. V. Alessenko

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Alessenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. V. Alessenko, 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 A. V. Alessenko Line = papers co-authored together A. V. Alessenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 200474
3 199267
4 199552
5 200239
6 199739
7 199234
8 201830
9 200518
10 200115
11 201314
12 200113
13 200212
14 201912
15 201811
16 19999
17 20118
18 20208
19 20225
20 19974

About A. V. Alessenko

A. V. Alessenko is a scholar working on Molecular Biology, Physiology, Neurology, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 35 papers that have together received 585 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (26 papers), Lipid Membrane Structure and Behavior (7 papers), Alzheimer's disease research and treatments (5 papers), Neonatal Health and Biochemistry (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Biochemistry (54 citations), Molecular Biology (438 citations), Cell Biology (103 citations), Physiology (146 citations) and Biological Psychiatry (14 citations). A. V. Alessenko has collaborated with scholars based in Russia, United States and Italy. Frequent co-authors include Elisabetta Albi, А. Е. Бугрова, Subroto Chatterjee, Yusuf A. Hannun, E. B. Burlakova, Alexey Khrenov, W A Khan, N Sahyoun, Sabine Grösch and William C. Wetsel. Their work appears in journals such as FEBS Letters, Biochemical Society Transactions, Bioelectrochemistry, Atherosclerosis and International Journal of Molecular Sciences.

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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