Robert Radeke
Impact in
- Genetics top 10%
- Virus-based gene therapy research
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- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in ⓘ
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- CRISPR and Genetic Engineering 4
- Glycosylation and Glycoproteins Research 2
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- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Richard C. Gehrz (3 shared papers)B. Kari (2 shared papers)Michael T. Kelly (1 shared paper)Jinping Song (1 shared paper)Luigi Naldini (1 shared paper)Ryan McGuinness (1 shared paper)Antonín Bukovský (1 shared paper)Antonella Consiglio (1 shared paper)
- Journals
- Molecular Therapy (4 papers)Journal of General Virology (2 papers)Molecular Genetics and Metabolism (2 papers)Human Gene Therapy (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Robert Radeke
11 papers receiving 398 citations
Peers
Comparison fields: 5 of 46
- Genetics 188
- Epidemiology 148
- Virology 19
- Parasitology 25
- Molecular Biology 252
Countries citing papers authored by Robert Radeke
This map shows the geographic impact of Robert Radeke'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 Robert Radeke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Radeke more than expected).
Fields of papers citing papers by Robert Radeke
This network shows the impact of papers produced by Robert Radeke. 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 Robert Radeke. The network helps show where Robert Radeke may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Radeke, 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 | 2001 | 117 | |
| 2 | 1986 | 92 | |
| 3 | 2018 | 91 | |
| 4 | 2018 | 64 | |
| 5 | 1994 | 22 | |
| 6 | 1992 | 20 | |
| 7 | Establishment of a highly sensitive Taqman-based assay for non-invasively detecting biomarkers expressed in circulating tumor cells in human and mouse whole blood. | 2007 | 2 |
| 8 | 2016 | 1 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 1 |
About Robert Radeke
Robert Radeke is a scholar working on Molecular Biology, Epidemiology, Physiology, Genetics and Genetics, having authored 11 papers that have together received 412 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (4 papers), CRISPR and Genetic Engineering (4 papers), Lysosomal Storage Disorders Research (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Cancer Genomics and Diagnostics (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Genetics (188 citations), Epidemiology (148 citations), Virology (19 citations), Parasitology (25 citations) and Molecular Biology (252 citations). Robert Radeke has collaborated with scholars based in United States and Italy. Frequent co-authors include Richard C. Gehrz, B. Kari, Michael T. Kelly, Jinping Song, Luigi Naldini, Ryan McGuinness, Antonín Bukovský, Antonella Consiglio, Deborah Farson and Rochelle M. Witt. Their work appears in journals such as Molecular Therapy, Journal of General Virology, Molecular Genetics and Metabolism, Human Gene Therapy and Cancer Research.
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.