Candida Vaz
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Ophthalmology top 5%
- Glaucoma and retinal disorders
Papers in
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- RNA modifications and cancer 8
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 3
- Pluripotent Stem Cells Research 2
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Vivek Tanavde (16 shared papers)Alok Bhattacharya (6 shared papers)Shao Zhao (1 shared paper)Liyan Chen (1 shared paper)Roger W. Beuerman (1 shared paper)Lei Zhou (1 shared paper)Xiao Rong Li (1 shared paper)Siew Kwan Koh (1 shared paper)
- Journals
- PLoS ONE (4 papers)Scientific Reports (3 papers)BMC Genomics (3 papers)Poultry Science (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Candida Vaz
25 papers receiving 943 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 314
- Ophthalmology 119
- Molecular Biology 510
- Public Health, Environmental and Occupational Health 180
- Aging 9
Countries citing papers authored by Candida Vaz
This map shows the geographic impact of Candida Vaz'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 Candida Vaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candida Vaz more than expected).
Fields of papers citing papers by Candida Vaz
This network shows the impact of papers produced by Candida Vaz. 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 Candida Vaz. The network helps show where Candida Vaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Candida Vaz, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 269 | |
| 2 | 2010 | 119 | |
| 3 | 2014 | 57 | |
| 4 | 2015 | 55 | |
| 5 | 2017 | 53 | |
| 6 | 2010 | 47 | |
| 7 | 2014 | 47 | |
| 8 | 2018 | 44 | |
| 9 | 2008 | 43 | |
| 10 | 2016 | 35 | |
| 11 | 2015 | 32 | |
| 12 | 2009 | 30 | |
| 13 | 2015 | 22 | |
| 14 | 2019 | 20 | |
| 15 | 2013 | 19 | |
| 16 | 2011 | 14 | |
| 17 | 2017 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2019 | 9 |
About Candida Vaz
Candida Vaz is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Genetics, having authored 25 papers that have together received 957 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers), MicroRNA in disease regulation (7 papers), RNA Research and Splicing (5 papers), Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), RNA and protein synthesis mechanisms (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cancer Research (314 citations), Ophthalmology (119 citations), Molecular Biology (510 citations), Public Health, Environmental and Occupational Health (180 citations) and Aging (9 citations). Candida Vaz has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Vivek Tanavde, Alok Bhattacharya, Shao Zhao, Liyan Chen, Roger W. Beuerman, Lei Zhou, Xiao Rong Li, Siew Kwan Koh, Ritu Kulshreshtha and Hafiz M. Ahmad. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Genomics, Poultry Science and Journal of Chemical Information and Modeling.
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.