Carlos P. Rubbi
- Oncology top 5%
- Cancer-related Molecular Pathways 14
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 5
- DNA Repair Mechanisms 4
- Advanced biosensing and bioanalysis techniques 4
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
- Biotechnology top 10%
- Cancer Research and Treatments 3
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Jo MilnerNikolina VlatkovićMark T. BoydAndrei L. OkorokovMing JiangJason L. ParsonsRachel CarterJoseph R. Slupsky
- Partner nations
- United KingdomArgentinaUnited States
In The Last Decade
Carlos P. Rubbi
29 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 594
- Molecular Biology 1.3k
- Cancer Research 219
- Aging 15
- Biotechnology 71
Countries citing papers authored by Carlos P. Rubbi
This map shows the geographic impact of Carlos P. Rubbi'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 Carlos P. Rubbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos P. Rubbi more than expected).
Fields of papers citing papers by Carlos P. Rubbi
This network shows the impact of papers produced by Carlos P. Rubbi. 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 Carlos P. Rubbi. The network helps show where Carlos P. Rubbi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos P. Rubbi, 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 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2015 | 72 | |
| 4 | 2013 | 45 | |
| 5 | 2011 | 6 | |
| 6 | 2011 | 23 | |
| 7 | 2010 | 54 | |
| 8 | 2010 | 20 | |
| 9 | 2004 | 37 | |
| 10 | 2003 | 17 | |
| 11 | Disruption of the nucleolus mediates stabilization of p53 in response to DNA damage and other stressesbreakdown → | 2003 | 646 |
| 12 | 2003 | 181 | |
| 13 | 2001 | 38 | |
| 14 | 2000 | 68 | |
| 15 | 1996 | 7 | |
| 16 | 1995 | 13 | |
| 17 | 1994 | 15 | |
| 18 | Light Microscopy: Essential Data | 1994 | 2 |
| 19 | 1993 | 6 | |
| 20 | 1993 | 12 |
About Carlos P. Rubbi
Carlos P. Rubbi is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biotechnology and Small Animals, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), Epigenetics and DNA Methylation (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA modifications and cancer (5 papers), DNA Repair Mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer Research and Treatments (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Oncology (594 citations), Molecular Biology (1.3k citations), Cancer Research (219 citations), Aging (15 citations) and Biotechnology (71 citations). Carlos P. Rubbi has collaborated with scholars based in United Kingdom, Argentina and United States. Frequent co-authors include Jo Milner, Nikolina Vlatković, Mark T. Boyd, Andrei L. Okorokov, Ming Jiang, Jason L. Parsons, Rachel Carter, Joseph R. Slupsky, Su Metcalfe and D. Rickwood. Their work appears in journals such as Oncogene, Journal of Immunological Methods, Carcinogenesis, The EMBO Journal and Cancer Letters.
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.