Robert Drakas
Impact in
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- RNA Research and Splicing
- RNA regulation and disease
- RNA and protein synthesis mechanisms
- Metabolism, Diabetes, and Cancer
- RNA modifications and cancer
- CRISPR and Genetic Engineering
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- RNA Research and Splicing 5
- Ubiquitin and proteasome pathways 3
- RNA and protein synthesis mechanisms 3
- DNA Repair Mechanisms 2
- Cancer-related gene regulation 2
- RNA regulation and disease 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Renato Baserga (6 shared papers)Kazuko Nishikura (2 shared papers)Fang Lai (1 shared paper)Marco di Prisco (4 shared papers)Xiao Tu (2 shared papers)Anguo Wu (2 shared papers)Guissou A. Dabiri (1 shared paper)Fan Lai (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (1 paper)Genetics (1 paper)mAbs (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Robert Drakas
15 papers receiving 558 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 489
- Endocrinology, Diabetes and Metabolism 77
- Cancer Research 43
- Oncology 74
- Cardiology and Cardiovascular Medicine 39
Countries citing papers authored by Robert Drakas
This map shows the geographic impact of Robert Drakas'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 Drakas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Drakas more than expected).
Fields of papers citing papers by Robert Drakas
This network shows the impact of papers produced by Robert Drakas. 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 Drakas. The network helps show where Robert Drakas may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Drakas, 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 | 1995 | 134 | |
| 2 | 2005 | 87 | |
| 3 | 2002 | 70 | |
| 4 | 1996 | 70 | |
| 5 | 2004 | 69 | |
| 6 | 2004 | 47 | |
| 7 | 2012 | 20 | |
| 8 | 2002 | 19 | |
| 9 | 1999 | 13 | |
| 10 | 2005 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2012 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 |
About Robert Drakas
Robert Drakas is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Pharmacology, having authored 15 papers that have together received 563 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), DNA Repair Mechanisms (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Molecular Biology (489 citations), Endocrinology, Diabetes and Metabolism (77 citations), Cancer Research (43 citations), Oncology (74 citations) and Cardiology and Cardiovascular Medicine (39 citations). Robert Drakas has collaborated with scholars based in United States and Germany. Frequent co-authors include Renato Baserga, Kazuko Nishikura, Fang Lai, Marco di Prisco, Xiao Tu, Anguo Wu, Guissou A. Dabiri, Fan Lai, Mingli Liu and Cecilia Garofalo. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Genetics and mAbs.
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.