Priya Vasa
Impact in
- Gender Studies top 2%
- Demographic Trends and Gender Preferences
- Cancer Research top 5%
Papers in
-
- Gene expression and cancer classification 1
- RNA modifications and cancer 1
-
- Chronic Kidney Disease and Diabetes 1
- Co-authors
- Wing Hung Wong (1 shared paper)Matthew Meyerson (1 shared paper)Massimo Loda (1 shared paper)William G. Richards (1 shared paper)Stefano Monti (1 shared paper)Christine Ladd (1 shared paper)Jane Staunton (1 shared paper)Javad Beheshti (1 shared paper)
- Journals
- Systematic Reviews (2 papers)Proceedings of the National Academy of Sciences (1 paper)Developmental Biology (1 paper)The Lancet (1 paper)The Lancet Infectious Diseases (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Priya Vasa
7 papers receiving 2.6k citations
Priya Vasa's Hit Papers
Peers
Comparison fields: 5 of 140
- Gender Studies 238
- Cancer Research 312
- Molecular Biology 1.4k
- Nephrology 121
- Oncology 327
Countries citing papers authored by Priya Vasa
This map shows the geographic impact of Priya Vasa'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 Priya Vasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Vasa more than expected).
Fields of papers citing papers by Priya Vasa
This network shows the impact of papers produced by Priya Vasa. 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 Priya Vasa. The network helps show where Priya Vasa may publish in the future.
Co-authors
The 25 scholars most cited alongside Priya Vasa, 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 | Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses Hit paper breakdown → | 2001 | 2095 |
| 2 | 2006 | 288 | |
| 3 | 2013 | 244 | |
| 4 | 2013 | 81 | |
| 5 | 2003 | 30 | |
| 6 | 2022 | 12 | |
| 7 | 2024 | 7 |
About Priya Vasa
Priya Vasa is a scholar working on Molecular Biology, Nephrology, Cellular and Molecular Neuroscience, Neurology and Clinical Psychology, having authored 7 papers that have together received 2.8k indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (1 paper), Gene expression and cancer classification (1 paper), Lung Cancer Treatments and Mutations (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Neurobiology and Insect Physiology Research (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Gender Studies (238 citations), Cancer Research (312 citations), Molecular Biology (1.4k citations), Nephrology (121 citations) and Oncology (327 citations). Priya Vasa has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Wing Hung Wong, Matthew Meyerson, Massimo Loda, William G. Richards, Stefano Monti, Christine Ladd, Jane Staunton, Javad Beheshti, Bruce E. Johnson and Raphael Bueno. Their work appears in journals such as Systematic Reviews, Proceedings of the National Academy of Sciences, Developmental Biology, The Lancet and The Lancet Infectious Diseases.
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.