Csaba Pazmany

512 citations
3 papers · 116 · h-index 3

Impact in

    • Monoclonal and Polyclonal Antibodies Research
    • Advanced Biosensing Techniques and Applications
    • Advanced biosensing and bioanalysis techniques
    • Glycosylation and Glycoproteins Research
    • Protein purification and stability
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Glycosylation and Glycoproteins Research 1
    • Advanced Biosensing Techniques and Applications 1
    • Galectins and Cancer Biology 1
    • Toxin Mechanisms and Immunotoxins 1
    • Immune Response and Inflammation 1

Csaba Pazmany

3 papers receiving 110 citations

Peers

Csaba Pazmany
Comparison fields: 5 of 44
  • Radiology, Nuclear Medicine and Imaging 54
  • Molecular Biology 93
  • Biomedical Engineering 26
  • Biotechnology 5
  • Immunology 11
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Csaba Pazmany relative to Shoukai Kang United States Shoukai Kang's profile →
Citations per field
00.5×1.5×
Shoukai Kang · 1×
Citations per year

Countries citing papers authored by Csaba Pazmany

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Pazmany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Csaba Pazmany, 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 Csaba Pazmany Line = papers co-authored together Csaba Pazmany links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Csaba Pazmany

Csaba Pazmany is a scholar working on Molecular Biology, Immunology, Oncology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 3 papers that have together received 116 indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Galectins and Cancer Biology (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (54 citations), Molecular Biology (93 citations), Biomedical Engineering (26 citations), Biotechnology (5 citations) and Immunology (11 citations). Csaba Pazmany has collaborated with scholars based in United States. Frequent co-authors include Dina Wassaf, Guannan Kuang, Qilong Wu, Shannon Hogan, Que Thanh Thanh Nguyen, Jérémy Lambert, Robert C. Ladner, Daniel J. Sexton, Andrew E. Nixon and Kevin P. Murphy. Their work appears in journals such as Analytical Biochemistry, Protein Expression and Purification and BioTechniques.

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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