Csaba Pazmany
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- 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
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- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Advanced Biosensing Techniques and Applications 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Dina Wassaf (1 shared paper)Qilong Wu (1 shared paper)Que Thanh Thanh Nguyen (1 shared paper)Shannon Hogan (1 shared paper)Jérémy Lambert (1 shared paper)Robert C. Ladner (1 shared paper)Andrew E. Nixon (1 shared paper)Guannan Kuang (1 shared paper)
- Journals
- Protein Expression and Purification (1 paper)Analytical Biochemistry (1 paper)BioTechniques (1 paper)Humana Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Csaba Pazmany
4 papers receiving 130 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 62
- Molecular Biology 107
- Biomedical Engineering 33
- Immunology 14
- Biotechnology 6
Countries citing papers authored by Csaba Pazmany
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 114 | |
| 2 | 1998 | 20 | |
| 3 | 2000 | 3 | |
| 4 | 2003 | 2 |
About Csaba Pazmany
Csaba Pazmany is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Biomedical Engineering, having authored 4 papers that have together received 139 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Nanofabrication and Lithography Techniques (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Galectins and Cancer Biology (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (62 citations), Molecular Biology (107 citations), Biomedical Engineering (33 citations), Immunology (14 citations) and Biotechnology (6 citations). Csaba Pazmany has collaborated with scholars based in United States. Frequent co-authors include Dina Wassaf, Qilong Wu, Que Thanh Thanh Nguyen, Shannon Hogan, Jérémy Lambert, Robert C. Ladner, Andrew E. Nixon, Guannan Kuang, Daniel J. Sexton and Kevin P. Murphy. Their work appears in journals such as Protein Expression and Purification, Analytical Biochemistry, BioTechniques and Humana Press eBooks.
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.