N S Paranka
- Pharmacology top 1%
- Genetics top 5%
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Rifat PamukcuGary A. PiazzaKlaus BrendelPaul H. GrossDavid S. AlbertsRandall W. BurtGerhard SperlDennis J. Ahnen
- Topics
- Inflammatory mediators and NSAID effects (7 papers)Estrogen and related hormone effects (5 papers)Genomics, phytochemicals, and oxidative stress (3 papers)
- Cited by
- PharmacologyGeneticsCancer Research
- Journals
- GastroenterologyJournal of Cellular BiochemistryJournal of Pharmaceutical and Biomedical Analysis
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
N S Paranka
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Pharmacology 766
- Genetics 425
- Molecular Biology 334
- Oncology 253
- Cancer Research 211
Countries citing papers authored by N S Paranka
This map shows the geographic impact of N S Paranka'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 N S Paranka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N S Paranka more than expected).
Fields of papers citing papers by N S Paranka
This network shows the impact of papers produced by N S Paranka. 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 N S Paranka. The network helps show where N S Paranka may publish in the future.
Co-authorship network of co-authors of N S Paranka
This figure shows the co-authorship network connecting the top 25 collaborators of N S Paranka. A scholar is included among the top collaborators of N S Paranka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N S Paranka. N S Paranka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sulindac sulfone inhibits azoxymethane-induced colon carcinogenesis in rats without reducing prostaglandin levels. | 315 |
| 2 | Sulfone metabolite of sulindac inhibits mammary carcinogenesis. | 180 |
| 3 | 3 | |
| 4 | 84 | |
| 5 | 11 | |
| 6 | Antineoplastic drugs sulindac sulfide and sulfone inhibit cell growth by inducing apoptosis. | 378 |
| 7 | Inhibition of mammary carcinogenesis in rats by sulfone metabolite of sulindac. | 63 |
| 8 | Effect of doxorubicin on glutathione and glutathione-dependent enzymes in cultured rat heart cells. | 18 |
| 9 | 2 | |
| 10 | Antiproliferative effect of nonsteroidal antiinflammatory drugs against human colon cancer cells. | 90 |
About N S Paranka
N S Paranka is a scholar working on Pharmacology, Genetics and Biophysics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Estrogen and related hormone effects (5 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Pharmacology (766 citations), Genetics (425 citations) and Cancer Research (211 citations). N S Paranka has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Rifat Pamukcu, Gary A. Piazza, Klaus Brendel, Paul H. Gross, David S. Alberts, Randall W. Burt, Gerhard Sperl, Dennis J. Ahnen, Mary F. Krutzsch and Lee J. Hixson. Their work appears in journals such as Gastroenterology, Journal of Cellular Biochemistry and Journal of Pharmaceutical and Biomedical Analysis.
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.