A. V. Alessenko

764 citations
37 papers · 637 · h-index 14

Impact in

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

Papers in

    • Sphingolipid Metabolism and Signaling 27
    • Lipid Membrane Structure and Behavior 7
    • Cell death mechanisms and regulation 4

A. V. Alessenko

33 papers receiving 613 citations

Peers

A. V. Alessenko
Comparison fields: 5 of 78
  • Biochemistry 58
  • Molecular Biology 464
  • Cell Biology 107
  • Physiology 131
  • Biological Psychiatry 9
Replace Aftabul Haque with:
Aftabul Haque United States
Francesco Napoletano Italy
Ruth Ana Valero Spain
Birgit Honrath Germany
Irina Alecu Switzerland
Uzma Saeed India
Museer A. Lone Switzerland
Joo Young Im South Korea
Daan M. van den Brink Netherlands
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Citations per field
00.5×1.6×
Aftabul Haque · 1×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 200476
3 199275
4 199556
5 199740
6 200239
7 199235
8 201832
9 200519
10 201816
11 200116
12 201916
13 201314
14 200114
15 201812
16 200212
17 199910
18 20209
19 20118
20 20225

About A. V. Alessenko

A. V. Alessenko is a scholar working on Molecular Biology, Biochemistry, Physiology, Neurology and Cell Biology, having authored 37 papers that have together received 637 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (27 papers), Lipid Membrane Structure and Behavior (7 papers), Alzheimer's disease research and treatments (5 papers), Cell death mechanisms and regulation (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Biochemistry (58 citations), Molecular Biology (464 citations), Cell Biology (107 citations), Physiology (131 citations) and Biological Psychiatry (9 citations). A. V. Alessenko has collaborated with scholars based in Russia, Germany and Italy. Frequent co-authors include Elisabetta Albi, Subroto B. Chatterjee, А. Е. Бугрова, Yusuf Awni Hannun, Elena B. Burlakova, Sabine Groesch, Alexey V. Khrenov, Naji E. Sahyoun, W A Khan and William C. Wetsel. Their work appears in journals such as FEBS Letters, Journal of Biological Chemistry, Frontiers in Neurology, Biochemical and Biophysical Research Communications and Bioelectrochemistry.

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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