Evgeny Shlevkov

873 citations
10 papers · 631 · h-index 8

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 1
    • Hippo pathway signaling and YAP/TAZ 3
    • Endoplasmic Reticulum Stress and Disease 2

Evgeny Shlevkov

10 papers receiving 628 citations

Peers

Evgeny Shlevkov
Comparison fields: 5 of 76
  • Cell Biology 184
  • Aging 17
  • Neurology 110
  • Molecular Biology 429
  • Cellular and Molecular Neuroscience 113
Replace Chiu-Hui Huang with:
Chiu-Hui Huang Taiwan
Matthew D. Figley United States
Clémence Levet United Kingdom
Elaine Pirie United States
Minako Tateno Japan
Andria Apostolou United States
Joy S. Tea United States
Raffaella Calligaris Italy
Aitor Martinez United Kingdom
Elena Agostoni Italy
Evgeny Shlevkov relative to Chiu-Hui Huang Taiwan Chiu-Hui Huang's profile →
Citations per field
00.5×1.5×1.9×
Chiu-Hui Huang · 1×
Citations per year

Countries citing papers authored by Evgeny Shlevkov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Shlevkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009162
2 2016126
3 2011105
4 201178
5 202162
6 202044
7 201925
8 202119
9 20225
10 20235

About Evgeny Shlevkov

Evgeny Shlevkov is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Neurology and Paleontology, having authored 10 papers that have together received 631 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ubiquitin and proteasome pathways (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Protein Degradation and Inhibitors (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cell Biology (184 citations), Aging (17 citations), Neurology (110 citations), Molecular Biology (429 citations) and Cellular and Molecular Neuroscience (113 citations). Evgeny Shlevkov has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Ginés Morata, Ainhoa Pérez-Garijo, Thomas L. Schwarz, Matthew J. LaVoie, Jason Schapansky, Tal Kramer, Andreas Weihofen, Warren D. Hirst, Collin M. Bantle and Yi Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, iScience, ACS Medicinal Chemistry Letters, Frontiers in Cell and Developmental Biology and Cell Reports.

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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