Priya Pai
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 8
- Cytokine Signaling Pathways and Interactions 2
- HER2/EGFR in Cancer Research 2
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Surinder K. Batra (11 shared papers)Satyanarayana Rachagani (10 shared papers)Saraswati Sukumar (5 shared papers)Muzafar A. Macha (4 shared papers)Maneesh Jain (5 shared papers)Moorthy P. Ponnusamy (4 shared papers)Lynette M. Smith (5 shared papers)Shiv Ram Krishn (3 shared papers)
- Journals
- Carcinogenesis (2 papers)Oncotarget (2 papers)Molecular Oncology (1 paper)Neurochemical Research (1 paper)Aging (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Priya Pai
19 papers receiving 593 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 185
- Oncology 176
- Molecular Biology 368
- Immunology 90
- Pathology and Forensic Medicine 49
Countries citing papers authored by Priya Pai
This map shows the geographic impact of Priya Pai'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 Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Pai more than expected).
Fields of papers citing papers by Priya Pai
This network shows the impact of papers produced by Priya Pai. 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 Pai. The network helps show where Priya Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Priya Pai, 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 | 2013 | 69 | |
| 2 | 2014 | 66 | |
| 3 | 2013 | 56 | |
| 4 | 2016 | 54 | |
| 5 | 2020 | 51 | |
| 6 | 2020 | 45 | |
| 7 | 2015 | 44 | |
| 8 | 2011 | 40 | |
| 9 | 2013 | 29 | |
| 10 | 2015 | 26 | |
| 11 | 2020 | 21 | |
| 12 | 2016 | 19 | |
| 13 | 2016 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 12 | |
| 17 | Hepatoprotective activity of plectranthus amboinicus against paracetamol induced hepatotoxicity in rats | 2012 | 10 |
| 18 | 2022 | 7 | |
| 19 | 2016 | 3 |
About Priya Pai
Priya Pai is a scholar working on Molecular Biology, Oncology, Cancer Research, Small Animals and Pharmacology, having authored 19 papers that have together received 600 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), MicroRNA in disease regulation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Genetic factors in colorectal cancer (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (185 citations), Oncology (176 citations), Molecular Biology (368 citations), Immunology (90 citations) and Pathology and Forensic Medicine (49 citations). Priya Pai has collaborated with scholars based in United States, China and India. Frequent co-authors include Surinder K. Batra, Satyanarayana Rachagani, Saraswati Sukumar, Muzafar A. Macha, Maneesh Jain, Moorthy P. Ponnusamy, Lynette M. Smith, Shiv Ram Krishn, Punita Dhawan and Suprit Gupta. Their work appears in journals such as Carcinogenesis, Oncotarget, Molecular Oncology, Neurochemical Research and Aging.
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.