Vikash Reebye
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
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- RNA Interference and Gene Delivery 6
- Advanced biosensing and bioanalysis techniques 5
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- MicroRNA in disease regulation 8
- Co-authors
- Nagy Habib (28 shared papers)John J. Rossi (18 shared papers)Kai‐Wen Huang (15 shared papers)Pål Sætrom (9 shared papers)Paul J. Mintz (9 shared papers)Mikael H. Sodergren (11 shared papers)David C. Blakey (9 shared papers)Robert Habib (9 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (6 papers)Molecular Therapy (4 papers)Cancer Research (3 papers)Oncogene (3 papers)Cellular Signalling (3 papers)
- Partner nations
- United KingdomUnited StatesTaiwan
In The Last Decade
Vikash Reebye
35 papers receiving 812 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 169
- Molecular Biology 513
- Pharmacology 61
- Immunology 75
- Hepatology 26
Countries citing papers authored by Vikash Reebye
This map shows the geographic impact of Vikash Reebye'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 Vikash Reebye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikash Reebye more than expected).
Fields of papers citing papers by Vikash Reebye
This network shows the impact of papers produced by Vikash Reebye. 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 Vikash Reebye. The network helps show where Vikash Reebye may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikash Reebye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2006 | 73 | |
| 3 | 2018 | 73 | |
| 4 | 2021 | 69 | |
| 5 | 2016 | 69 | |
| 6 | 2016 | 61 | |
| 7 | 2019 | 57 | |
| 8 | 2007 | 34 | |
| 9 | 2012 | 34 | |
| 10 | 2019 | 31 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2011 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2010 | 16 | |
| 16 | 2012 | 16 | |
| 17 | 2006 | 15 | |
| 18 | 2012 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2013 | 10 |
About Vikash Reebye
Vikash Reebye is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 822 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Prostate Cancer Treatment and Research (4 papers), Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (3 papers), Pancreatic function and diabetes (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cancer Research (169 citations), Molecular Biology (513 citations), Pharmacology (61 citations), Immunology (75 citations) and Hepatology (26 citations). Vikash Reebye has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Nagy Habib, John J. Rossi, Kai‐Wen Huang, Pål Sætrom, Paul J. Mintz, Mikael H. Sodergren, David C. Blakey, Robert Habib, Isabella Reccia and Pinelopi Andrikakou. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Molecular Therapy, Cancer Research, Oncogene and Cellular Signalling.
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.