Krishna Bhat

12.9k citations
72 papers · 5.7k · h-index 33

Impact in

Papers in

    • Bioactive natural compounds 5
    • Ubiquitin and proteasome pathways 4
    • RNA Research and Splicing 4
    • Cancer Cells and Metastasis 5
    • Cancer-related Molecular Pathways 5

Krishna Bhat

67 papers receiving 5.5k citations

Peers

Krishna Bhat
Comparison fields: 5 of 144
  • Geriatrics and Gerontology 600
  • Genetics 597
  • Oncology 1.4k
  • Cancer Research 757
  • Biochemistry 293
Replace Qingyong Ma with:
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Marie‐Véronique Clement Singapore
Ramzi M. Mohammad United States
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Krishna Bhat relative to Qingyong Ma China Qingyong Ma's profile →
Citations per field
00.5×3.9×
Qingyong Ma · 1×
Citations per year

Countries citing papers authored by Krishna Bhat

Since Specialization
Citations

This map shows the geographic impact of Krishna 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 Krishna Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Bhat more than expected).

Fields of papers citing papers by Krishna Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna 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 Krishna Bhat. The network helps show where Krishna Bhat may publish in the future.

Co-authors

The 25 scholars most cited alongside Krishna 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 Krishna Bhat Line = papers co-authored together Krishna Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003468
2 2001441
3 2003381
4 2001348
5 2002331
6 2011305
7
Estrogenic and antiestrogenic properties of resveratrol in mammary tumor models.
2001298
8 2007258
9 2004217
10 2007195
11 2005186
12 2010178
13 2015148
14 2019148
15 2014142
16 2001141
17 2004136
18 2011123
19 2016121
20
Resveratrol exhibits cytostatic and antiestrogenic properties with human endometrial adenocarcinoma (Ishikawa) cells.
2001107

About Krishna Bhat

Krishna Bhat is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 5.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Cancer Cells and Metastasis (5 papers), Ferroptosis and cancer prognosis (5 papers), Cancer-related Molecular Pathways (5 papers), Bioactive natural compounds (5 papers), Ubiquitin and proteasome pathways (4 papers), Immune cells in cancer (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Geriatrics and Gerontology (600 citations), Genetics (597 citations), Oncology (1.4k citations), Cancer Research (757 citations) and Biochemistry (293 citations). Krishna Bhat has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include John M. Pezzuto, Aiwen Jin, Yanping Zhang, Jerome W. Kosmeder, Koji Itahana, Sheila A. Dugan, Yoko Itahana, Theresa Allio, William Burkhart and Yue Xiong. Their work appears in journals such as Neuro-Oncology, Oncotarget, Frontiers in Oncology, Cancer Cell and Journal of Clinical Oncology.

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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