Candida Vaz
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 1
- NF-κB Signaling Pathways 1
- Genetics 3
- Mesenchymal stem cell research 3
- Co-authors
- Vivek Tanavde (18 shared papers)Alok Bhattacharya (6 shared papers)Shao Zhen Zhao (1 shared paper)Siew Kwan Koh (1 shared paper)Lei Zhou (1 shared paper)Liyan Chen (1 shared paper)Roger Wilmer Beuerman (1 shared paper)Xiao Rong Li (1 shared paper)
- Journals
- Scientific Reports (4 papers)PLoS ONE (4 papers)BMC Genomics (3 papers)BMC Bioinformatics (1 paper)Nature Communications (1 paper)
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Candida Vaz
31 papers receiving 1.4k citations
Candida Vaz's Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 144
- Geriatrics and Gerontology 33
- Molecular Biology 246
- Public Health, Environmental and Occupational Health 122
- Genetics 35
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 298 | |
| 2 | Mitochondrial oxidative capacity and NAD+ biosynthesis are reduced in human sarcopenia across ethnicities Hit paper breakdown → | 2019 | 288 |
| 3 | 2010 | 126 | |
| 4 | 2014 | 65 | |
| 5 | 2020 | 61 | |
| 6 | 2015 | 57 | |
| 7 | 2017 | 52 | |
| 8 | 2010 | 50 | |
| 9 | 2014 | 50 | |
| 10 | 2008 | 46 | |
| 11 | 2018 | 46 | |
| 12 | 2016 | 39 | |
| 13 | 2016 | 37 | |
| 14 | 2009 | 34 | |
| 15 | 2015 | 34 | |
| 16 | 2019 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2013 | 21 | |
| 19 | 2011 | 14 | |
| 20 | 2017 | 12 |
About Candida Vaz
Candida Vaz is a scholar working on Cancer Research, Genetics, Urology, Spectroscopy and Immunology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), RNA Research and Splicing (3 papers), Mesenchymal stem cell research (3 papers), Hair Growth and Disorders (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Pluripotent Stem Cells Research (1 paper), Cancer-related molecular mechanisms research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cancer Research (144 citations), Geriatrics and Gerontology (33 citations), Molecular Biology (246 citations), Public Health, Environmental and Occupational Health (122 citations) and Genetics (35 citations). Candida Vaz has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Vivek Tanavde, Alok Bhattacharya, Shao Zhen Zhao, Siew Kwan Koh, Lei Zhou, Liyan Chen, Roger Wilmer Beuerman, Xiao Rong Li, Ritu Kulshreshtha and Lalit Kumar. Their work appears in journals such as Scientific Reports, PLoS ONE, BMC Genomics, BMC Bioinformatics and Nature Communications.
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.