Polyxeni Bozatzi

518 citations
7 papers · 278 indexed · h-index 5
    • Wnt/β-catenin signaling in development and cancer 3
    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 2
    • Protein Kinase Regulation and GTPase Signaling 1
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Virus-based gene therapy research 1
    • Advanced Proteomics Techniques and Applications 1

Polyxeni Bozatzi

7 papers receiving 277 citations

Peers

Polyxeni Bozatzi
Comparison fields: 5 of 55
  • Molecular Biology 229
  • Cell Biology 50
  • Oncology 81
  • Cancer Research 26
  • Immunology 32
Replace Jordina Loubat‐Casanovas with:
Jordina Loubat‐Casanovas Spain
Malachia Hoover United States
Gal Haase Israel
Robert J. Nadeau United States
Sarah Morice France
Karen J. Dunbar United States
Alexandra Faustino Portugal
Hazel O’Sullivan Ireland
Candace J. Poole United States
Daniel S. J. Miller United Kingdom
Polyxeni Bozatzi relative to Jordina Loubat‐Casanovas Spain Jordina Loubat‐Casanovas's profile →
Citations per field
00.5×3.1×
Jordina Loubat‐Casanovas · 1×
Citations per year

Countries citing papers authored by Polyxeni Bozatzi

Since Specialization
Citations

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

Fields of papers citing papers by Polyxeni Bozatzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Polyxeni Bozatzi, 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 Polyxeni Bozatzi Line = papers co-authored together Polyxeni Bozatzi links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201849
2 201887
3 201828
4 20181
5 201842
6 20161
7 201670

About Polyxeni Bozatzi

Polyxeni Bozatzi is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Spectroscopy and Immunology, having authored 7 papers that have together received 278 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Virus-based gene therapy research (1 paper), Pluripotent Stem Cells Research (1 paper), CRISPR and Genetic Engineering (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (229 citations), Cell Biology (50 citations), Oncology (81 citations), Cancer Research (26 citations) and Immunology (32 citations). Polyxeni Bozatzi has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Gopal P. Sapkota, Thomas Macartney, Luke J. Fulcher, Alejandro Rojas‐Fernández, James C. Smith, David G. Campbell, Joby Varghese, Robert Gourlay, Timothy D. Cummins and Nicola T. Wood. Their work appears in journals such as Open Biology, Science Signaling, EMBO Reports, Journal of Cell Science and Biochemical Society Transactions.

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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