Deepa Pookot
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 10%
- Genetics top 10%
- Immunology
- Co-authors
- Robert F. PlaceRajvir DahiyaLong‐Cheng LiEmily J. NoonanShinji UrakamiSteven T. OkinoHideki EnokidaHong Zhao
- Topics
- Epigenetics and DNA Methylation (9 papers)MicroRNA in disease regulation (5 papers)Prostate Cancer Treatment and Research (5 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Deepa Pookot
23 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.4k
- Cancer Research 1.5k
- Oncology 268
- Genetics 218
- Immunology 195
Countries citing papers authored by Deepa Pookot
This map shows the geographic impact of Deepa Pookot'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 Deepa Pookot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Pookot more than expected).
Fields of papers citing papers by Deepa Pookot
This network shows the impact of papers produced by Deepa Pookot. 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 Deepa Pookot. The network helps show where Deepa Pookot may publish in the future.
Co-authorship network of co-authors of Deepa Pookot
This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Pookot. A scholar is included among the top collaborators of Deepa Pookot 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 Deepa Pookot. Deepa Pookot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 91 | |
| 2 | 125 | |
| 3 | 29 | |
| 4 | 312 | |
| 5 | 1 | |
| 6 | 40 | |
| 7 | MicroRNA-373 induces expression of genes with complementary promoter sequencesbreakdown → | 978 |
| 8 | 79 | |
| 9 | 102 | |
| 10 | 74 | |
| 11 | 156 | |
| 12 | 19 | |
| 13 | 20 | |
| 14 | 56 | |
| 15 | Small dsRNAs induce transcriptional activation in human cellsbreakdown → | 600 |
| 16 | 7 | |
| 17 | 27 | |
| 18 | 14 | |
| 19 | 75 | |
| 20 | The human T-cell factor-4 gene splicing isoforms, Wnt signal pathway, and apoptosis in renal cell carcinoma. | 63 |
About Deepa Pookot
Deepa Pookot is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 2.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), MicroRNA in disease regulation (5 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.4k citations) and Geriatrics and Gerontology (41 citations). Deepa Pookot has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Robert F. Place, Rajvir Dahiya, Long‐Cheng Li, Emily J. Noonan, Shinji Urakami, Steven T. Okino, Hideki Enokida, Hong Zhao, Hiroshi Hirata and Shashwati Basak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.
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.