Kruttika Bhat

1.1k citations
21 papers · 806 indexed · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Glioma Diagnosis and Treatment 7
    • Cancer, Hypoxia, and Metabolism 5
    • Cancer, Lipids, and Metabolism 3
    • MicroRNA in disease regulation 2

Kruttika Bhat

20 papers receiving 798 citations

Peers

Kruttika Bhat
Comparison fields: 5 of 88
  • Genetics 238
  • Cancer Research 239
  • Oncology 289
  • Molecular Biology 393
  • Immunology 114
Replace Fatima W. Khwaja with:
Fatima W. Khwaja United States
Trevor Price United States
Avadhut D. Joshi United States
Yoshihiro Otani Japan
Yeri Lee South Korea
Kenichiro Matsuda Japan
Jin‐Kyoung Shim South Korea
Alexandra Borodovsky United States
Violaine Goidts Germany
Nazanin Majd United States
Kruttika Bhat relative to Fatima W. Khwaja United States Fatima W. Khwaja's profile →
Citations per field
00.5×1.5×2.1×
Fatima W. Khwaja · 1×
Citations per year

Countries citing papers authored by Kruttika Bhat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kruttika Bhat Line = papers co-authored together Kruttika Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202124
4 202115
5 202039
6 20209
7 20207
8 201913
9 201915
10 201912
11 201856
12 20187
13 201742
14 201722
15 201422
16 2012162
17 201142
18 201129
19 20101
20 2009285

About Kruttika Bhat

Kruttika Bhat is a scholar working on Genetics, Cancer Research, Developmental Neuroscience, Oncology and Psychiatry and Mental health, having authored 21 papers that have together received 806 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Cancer Cells and Metastasis (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers), Cancer, Lipids, and Metabolism (3 papers), Hedgehog Signaling Pathway Studies (2 papers), MicroRNA in disease regulation (2 papers) and Cancer-related Molecular Pathways (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, Wanxing Duan, Frank Pajonk, Qinhong Xu, Xuqi Li, Zheng Wang, Jianjun Lei and Han Liu. 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.

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