Kruttika Bhat
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer, Hypoxia, and Metabolism 5
- Cancer, Lipids, and Metabolism 3
- Oncology 7
- Cancer Cells and Metastasis 4
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Erxi Wu (7 shared papers)Qingyong Ma (4 shared papers)Fengfei Wang (3 shared papers)Frank Pajonk (13 shared papers)Qinhong Xu (1 shared paper)Han Liu (1 shared paper)Zheng Wang (1 shared paper)Wanxing Duan (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
22 papers receiving 900 citations
Peers
Comparison fields: 5 of 85
- Genetics 206
- Cancer Research 231
- Oncology 302
- Molecular Biology 378
- Immunology 108
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 288 | |
| 2 | 2012 | 163 | |
| 3 | 2018 | 57 | |
| 4 | 2012 | 57 | |
| 5 | 2017 | 42 | |
| 6 | 2011 | 42 | |
| 7 | 2020 | 40 | |
| 8 | CA 19-9 and pancreatic cancer. | 2013 | 32 |
| 9 | 2011 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2014 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2020 | 9 | |
| 18 | 2018 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2019 | 3 |
About Kruttika Bhat
Kruttika Bhat is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 909 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Cancer, Lipids, and Metabolism (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Genetics (206 citations), Cancer Research (231 citations), Oncology (302 citations), Molecular Biology (378 citations) and Immunology (108 citations). Kruttika Bhat has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Erxi Wu, Qingyong Ma, Fengfei Wang, Frank Pajonk, Qinhong Xu, Han Liu, Zheng Wang, Wanxing Duan, Xuqi Li and Jianjun Lei. 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.