Vassilis Bitsikas

427 citations
7 papers · 293 · h-index 6

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Caveolin-1 and cellular processes
    • Lipid Membrane Structure and Behavior
    • Glycosylation and Glycoproteins Research
    • RNA Interference and Gene Delivery

Papers in

    • Cellular transport and secretion 4
    • Caveolin-1 and cellular processes 3
    • Endoplasmic Reticulum Stress and Disease 1
    • Glycosylation and Glycoproteins Research 1
    • Pluripotent Stem Cells Research 1
    • Fungal and yeast genetics research 1

Vassilis Bitsikas

7 papers receiving 291 citations

Peers

Vassilis Bitsikas
Comparison fields: 5 of 60
  • Cell Biology 189
  • Molecular Biology 178
  • Physiology 57
  • Immunology and Allergy 11
  • Physiology 8
Replace Iwona Pranke with:
Iwona Pranke France
Fidel‐Nicolás Lolo Spain
Meritxell B. Cutrona Italy
Emi Tokuda Japan
Karolien Van Den Bossche Belgium
Chun-Chun Li Taiwan
J.C. Jeanny France
Regina Pacitto United States
Azzurra Margiotta Norway
Erpan Ahat United States
Vassilis Bitsikas relative to Iwona Pranke France Iwona Pranke's profile →
Citations per field
00.5×1.5×1.8×
Iwona Pranke · 1×
Citations per year

Countries citing papers authored by Vassilis Bitsikas

Since Specialization
Citations

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

Fields of papers citing papers by Vassilis Bitsikas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Vassilis Bitsikas, 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 Vassilis Bitsikas Line = papers co-authored together Vassilis Bitsikas links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Vassilis Bitsikas

Vassilis Bitsikas is a scholar working on Cell Biology, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 7 papers that have together received 293 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Caveolin-1 and cellular processes (3 papers), Circadian rhythm and melatonin (1 paper), Glycosylation and Glycoproteins Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Pluripotent Stem Cells Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Cell Biology (189 citations), Molecular Biology (178 citations), Physiology (57 citations), Immunology and Allergy (11 citations) and Physiology (8 citations). Vassilis Bitsikas has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Benjamin J. Nichols, Ivan R. Corrêa, Elena Shvets, Gillian Howard, Carsten Gram Hansen, Jonathan D. Howe, Nicholas P. Barry, Kirsi Riento, Michaela Schwaiger and Dietmar Schreiner. Their work appears in journals such as eLife, PLoS ONE, Nature Communications, Current Biology and Nature.

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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