Marcel Roza
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 2
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- Herpesvirus Infections and Treatments 3
- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Ger J. Strous (3 shared papers)Peter van Kerkhof (2 shared papers)Guojun Bu (1 shared paper)Rob N. de Jong (1 shared paper)Tom Vink (1 shared paper)Paul W.H.I. Parren (1 shared paper)Marije B. Overdijk (1 shared paper)Jeroen Lammerts van Bueren (1 shared paper)
- Journals
- Biochemical Journal (2 papers)Methods (1 paper)PLoS Biology (1 paper)Veterinary Microbiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- NetherlandsArgentinaUnited States
In The Last Decade
Marcel Roza
10 papers receiving 534 citations
Peers
Comparison fields: 5 of 68
- Hematology 142
- Endocrinology, Diabetes and Metabolism 105
- Physiology 28
- Oncology 156
- Immunology 116
Countries citing papers authored by Marcel Roza
This map shows the geographic impact of Marcel Roza'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 Marcel Roza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Roza more than expected).
Fields of papers citing papers by Marcel Roza
This network shows the impact of papers produced by Marcel Roza. 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 Marcel Roza. The network helps show where Marcel Roza may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel Roza, 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 | 2002 | 150 | |
| 2 | 2014 | 135 | |
| 3 | 2013 | 102 | |
| 4 | 2019 | 62 | |
| 5 | 2003 | 30 | |
| 6 | 2001 | 28 | |
| 7 | 2004 | 16 | |
| 8 | 2004 | 14 | |
| 9 | Virus herpes equino tipo 1 (EHV-1): patrones de restricción de ADN, perfiles proteicos y estudio de patogenicidad en ratones | 1998 | 3 |
| 10 | [Indirect ELISA for the rapid diagnosis of Equine Influenza]. | 2000 | 1 |
About Marcel Roza
Marcel Roza is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Genetics, having authored 10 papers that have together received 541 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Virus-based gene therapy research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Hematology (142 citations), Endocrinology, Diabetes and Metabolism (105 citations), Physiology (28 citations), Oncology (156 citations) and Immunology (116 citations). Marcel Roza has collaborated with scholars based in Netherlands, Argentina and United States. Frequent co-authors include Ger J. Strous, Peter van Kerkhof, Guojun Bu, Rob N. de Jong, Tom Vink, Paul W.H.I. Parren, Marije B. Overdijk, Jeroen Lammerts van Bueren, Antonio Ortiz Buijsse and Marleen Voorhorst. Their work appears in journals such as Biochemical Journal, Methods, PLoS Biology, Veterinary Microbiology and Proceedings of the National Academy of Sciences.
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.