Kruttika Bhat
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
- Oncology 10
- Cancer Cells and Metastasis 7
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- Cancer, Hypoxia, and Metabolism 5
- Cancer, Lipids, and Metabolism 3
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Erxi Wu (5 shared papers)Qingyong Ma (2 shared papers)Fengfei Wang (2 shared papers)Qinhong Xu (1 shared paper)Wanxing Duan (1 shared paper)Han Liu (1 shared paper)Zheng Wang (1 shared paper)Xuqi Li (1 shared paper)
- Journals
- Radiotherapy and Oncology (3 papers)Cancer Letters (2 papers)Neuro-Oncology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kruttika Bhat
20 papers receiving 798 citations
Peers
Comparison fields: 5 of 88
- Genetics 238
- Cancer Research 239
- Oncology 289
- Molecular Biology 393
- Immunology 114
Countries citing papers authored by Kruttika Bhat
This map shows the geographic impact of Kruttika Bhat'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 Kruttika Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kruttika Bhat more than expected).
Fields of papers citing papers by Kruttika Bhat
This network shows the impact of papers produced by Kruttika Bhat. 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 Kruttika Bhat. The network helps show where Kruttika Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Kruttika Bhat, 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 | 2009 | 285 | |
| 2 | 2012 | 162 | |
| 3 | 2018 | 56 | |
| 4 | 2017 | 42 | |
| 5 | 2011 | 42 | |
| 6 | 2020 | 39 | |
| 7 | 2011 | 29 | |
| 8 | 2021 | 24 | |
| 9 | 2014 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2019 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2010 | 1 |
About Kruttika Bhat
Kruttika Bhat is a scholar working on Oncology, Cancer Research, Genetics, Molecular Biology and Psychiatry and Mental health, having authored 21 papers that have together received 806 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Glioma Diagnosis and Treatment (7 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Genetics (238 citations), Cancer Research (239 citations), Oncology (289 citations), Molecular Biology (393 citations) and Immunology (114 citations). Kruttika Bhat has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Erxi Wu, Qingyong Ma, Fengfei Wang, Qinhong Xu, Wanxing Duan, Han Liu, Zheng Wang, Xuqi Li, Jianjun Lei and Frank Pajonk. Their work appears in journals such as Radiotherapy and Oncology, Cancer Letters, Neuro-Oncology, Proceedings of the National Academy of Sciences and Cancer Research.
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.