Radmila Moudry
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
Papers in
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- Glycosylation and Glycoproteins Research 3
- Ion channel regulation and function 1
- Lipid Membrane Structure and Behavior 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Hanspeter Amstutz (3 shared papers)James E. Bailey (1 shared paper)Pablo Umaña (1 shared paper)M. Spycher (1 shared paper)Doran Je (1 shared paper)María De Jesús (2 shared papers)H. Porzig (3 shared papers)Igor Fisch (2 shared papers)
- Journals
- British Journal of Haematology (2 papers)Journal of Cellular Physiology (1 paper)Experimental Cell Research (1 paper)Shock (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- SwitzerlandCroatiaUnited States
In The Last Decade
Radmila Moudry
10 papers receiving 660 citations
Radmila Moudry's Hit Papers
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 455
- Immunology 243
- Biotechnology 95
- Molecular Biology 534
- Hematology 45
Countries citing papers authored by Radmila Moudry
This map shows the geographic impact of Radmila Moudry'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 Radmila Moudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radmila Moudry more than expected).
Fields of papers citing papers by Radmila Moudry
This network shows the impact of papers produced by Radmila Moudry. 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 Radmila Moudry. The network helps show where Radmila Moudry may publish in the future.
Co-authors
The 21 scholars most cited alongside Radmila Moudry, 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 | Engineered glycoforms of an antineuroblastoma IgG1 with optimized antibody-dependent cellular cytotoxic activity Hit paper breakdown → | 1999 | 576 |
| 2 | 1997 | 42 | |
| 3 | 2000 | 38 | |
| 4 | 2000 | 17 | |
| 5 | 1997 | 16 | |
| 6 | 1991 | 5 | |
| 7 | 1990 | 4 | |
| 8 | 2015 | 1 | |
| 9 | Regulation of beta-adrenergic responsiveness during erythroid differentiation of Friend erythroleukemia cells. | 1990 | 1 |
| 10 | 2013 | 1 |
About Radmila Moudry
Radmila Moudry is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Physiology and Pharmacology, having authored 10 papers that have together received 701 indexed citations. Recurring topics across this work include Blood groups and transfusion (3 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Metabolism and Genetic Disorders (1 paper), Ion channel regulation and function (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (455 citations), Immunology (243 citations), Biotechnology (95 citations), Molecular Biology (534 citations) and Hematology (45 citations). Radmila Moudry has collaborated with scholars based in Switzerland, Croatia and United States. Frequent co-authors include Hanspeter Amstutz, James E. Bailey, Pablo Umaña, M. Spycher, Doran Je, María De Jesús, H. Porzig, Igor Fisch, Michel Kobr and Florian Μ. Wurm. Their work appears in journals such as British Journal of Haematology, Journal of Cellular Physiology, Experimental Cell Research, Shock and Nature Biotechnology.
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.