Padmashree C.G. Rida
- Cell Biology top 2%
- Microtubule and mitosis dynamics 24
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 17
- Breast Cancer Treatment Studies 13
- Cancer, Hypoxia, and Metabolism 4
- Oncology top 5%
- Cancer-related Molecular Pathways 11
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 4
- Pharmacology top 5%
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- BRCA gene mutations in cancer 4
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- Prostate Cancer Treatment and Research 4
- Co-authors
- Ritu AnejaAngela OgdenYun‐Jin JiangNguyet Le MinhMeenakshi V. GuptaMichelle D. ReidKaruna MittalJun Zhou
- Cited by
- Cell BiologyCancer ResearchOncology
- Journals
- Journal of Clinical Oncology (6 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Padmashree C.G. Rida
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 130
- Cell Biology 496
- Cancer Research 373
- Oncology 482
- Molecular Biology 881
- Pharmacology 107
Countries citing papers authored by Padmashree C.G. Rida
This map shows the geographic impact of Padmashree C.G. Rida'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 Padmashree C.G. Rida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmashree C.G. Rida more than expected).
Fields of papers citing papers by Padmashree C.G. Rida
This network shows the impact of papers produced by Padmashree C.G. Rida. 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 Padmashree C.G. Rida. The network helps show where Padmashree C.G. Rida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Padmashree C.G. Rida, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 9 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 38 | |
| 7 | 2019 | 33 | |
| 8 | 2018 | 59 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 36 | |
| 12 | 2017 | 16 | |
| 13 | 2016 | 46 | |
| 14 | 2016 | 2 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 66 | |
| 17 | 2015 | 11 | |
| 18 | 2011 | 103 | |
| 19 | 2009 | 55 | |
| 20 | 2006 | 44 |
About Padmashree C.G. Rida
Padmashree C.G. Rida is a scholar working on Cancer Research, Cell Biology and Oncology, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (24 papers), Cancer Genomics and Diagnostics (17 papers), Breast Cancer Treatment Studies (13 papers), Cancer-related Molecular Pathways (11 papers), BRCA gene mutations in cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Cell Biology (496 citations), Cancer Research (373 citations) and Oncology (482 citations). Padmashree C.G. Rida has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Ritu Aneja, Angela Ogden, Yun‐Jin Jiang, Nguyet Le Minh, Meenakshi V. Gupta, Michelle D. Reid, Karuna Mittal, Jun Zhou, Emad A. Rakha and Guilherme Cantuaria. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.