Gregory Szép

400 citations
6 papers · 251 · h-index 5

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gene Regulatory Network Analysis 2
    • Gut microbiota and health 1
    • Cell Image Analysis Techniques 2
    • Advanced Fluorescence Microscopy Techniques 1

Gregory Szép

6 papers receiving 251 citations

Peers

Gregory Szép
Comparison fields: 5 of 46
  • Cell Biology 155
  • Biophysics 38
  • Structural Biology 8
  • Immunology and Allergy 20
  • Atomic and Molecular Physics, and Optics 64
Replace Malti Vaghela with:
Malti Vaghela United Kingdom
Luyan Cao France
Nikolas Hundt Germany
Jeffrey P. Bibeau United States
Patrick M. McCall United States
Erin Craig United States
Sergey V. Mikhailenko Japan
Calina Copos United States
Karen Daugherty-Clarke United States
Rachel M. Brunetti United States
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Citations per field
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Citations per year

Countries citing papers authored by Gregory Szép

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Szép

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2017173
2 201832
3 202123
4 202017
5 20245
6 20241

About Gregory Szép

Gregory Szép is a scholar working on Molecular Biology, Biophysics, Atomic and Molecular Physics, and Optics, Cell Biology and Condensed Matter Physics, having authored 6 papers that have together received 251 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (2 papers), Cellular Mechanics and Interactions (2 papers), Cell Image Analysis Techniques (2 papers), Gut microbiota and health (1 paper), Force Microscopy Techniques and Applications (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Cell Biology (155 citations), Biophysics (38 citations), Structural Biology (8 citations), Immunology and Allergy (20 citations) and Atomic and Molecular Physics, and Optics (64 citations). Gregory Szép has collaborated with scholars based in United Kingdom, Austria and Hungary. Frequent co-authors include Christian Schmeiser, Robert Hauschild, Ingrid de Vries, J. Victor Small, Jan Mueller, Maria Némethová, Arnon D. Lieber, Christoph K. Winkler, Karsten Kruse and Kinneret Keren. Their work appears in journals such as Nature Communications, Nature Physics, PRX Quantum, Natural Computing and Frontiers in Immunology.

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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