Daksh Thaper
Impact in
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- Prostate Cancer Treatment and Research
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in ⓘ
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- Prostate Cancer Treatment and Research 13
- Oncology 9
- PARP inhibition in cancer therapy 3
- Lung Cancer Research Studies 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Amina Zoubeidi (19 shared papers)Jennifer L. Bishop (9 shared papers)Sepideh Vahid (13 shared papers)Ladan Fazli (4 shared papers)Martin Gleave (5 shared papers)Alastair Davies (2 shared papers)Ka Mun Nip (3 shared papers)Soojin Kim (6 shared papers)
- Journals
- Scientific Reports (3 papers)Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)Molecular Cancer Therapeutics (1 paper)Cancer Discovery (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Daksh Thaper
21 papers receiving 771 citations
Peers
Comparison fields: 5 of 64
- Pulmonary and Respiratory Medicine 471
- Cancer Research 207
- Oncology 241
- Molecular Biology 465
- Cell Biology 77
Countries citing papers authored by Daksh Thaper
This map shows the geographic impact of Daksh Thaper'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 Daksh Thaper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daksh Thaper more than expected).
Fields of papers citing papers by Daksh Thaper
This network shows the impact of papers produced by Daksh Thaper. 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 Daksh Thaper. The network helps show where Daksh Thaper may publish in the future.
Co-authors
The 25 scholars most cited alongside Daksh Thaper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 263 | |
| 2 | 2014 | 120 | |
| 3 | 2013 | 115 | |
| 4 | 2022 | 68 | |
| 5 | 2016 | 42 | |
| 6 | 2017 | 30 | |
| 7 | 2019 | 28 | |
| 8 | 2018 | 25 | |
| 9 | 2014 | 25 | |
| 10 | 2016 | 19 | |
| 11 | 2014 | 15 | |
| 12 | 2013 | 12 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2015 | 1 |
About Daksh Thaper
Daksh Thaper is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Cell Biology, having authored 21 papers that have together received 779 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Protein Degradation and Inhibitors (3 papers), Cancer, Lipids, and Metabolism (3 papers), PARP inhibition in cancer therapy (3 papers), Heat shock proteins research (3 papers), Lung Cancer Research Studies (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (471 citations), Cancer Research (207 citations), Oncology (241 citations), Molecular Biology (465 citations) and Cell Biology (77 citations). Daksh Thaper has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Amina Zoubeidi, Jennifer L. Bishop, Sepideh Vahid, Ladan Fazli, Martin Gleave, Alastair Davies, Ka Mun Nip, Soojin Kim, Eliana Beraldi and Kirsi Ketola. Their work appears in journals such as Scientific Reports, Cancer Research, Journal of Clinical Oncology, Molecular Cancer Therapeutics and Cancer Discovery.
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.