N K Bhat

1.2k citations
22 papers · 1.1k · h-index 16

Impact in

    • MicroRNA in disease regulation
    • NF-κB Signaling Pathways
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Ubiquitin and proteasome pathways 6
    • RNA modifications and cancer 3
    • Glutathione Transferases and Polymorphisms 2
    • RNA and protein synthesis mechanisms 2
    • DNA Repair Mechanisms 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Cancer-related Molecular Pathways 4

N K Bhat

21 papers receiving 1.1k citations

Peers

N K Bhat
Comparison fields: 5 of 83
  • Cancer Research 229
  • Immunology 291
  • Molecular Biology 762
  • Oncology 201
  • Immunology and Allergy 35
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N K Bhat relative to Edgar Grinstein Germany Edgar Grinstein's profile →
Citations per field
00.5×1.5×
Edgar Grinstein · 1×
Citations per year

Countries citing papers authored by N K Bhat

Since Specialization
Citations

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

Fields of papers citing papers by N K Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987181
2 2013174
3 1990126
4 1989113
5 199277
6 199364
7 201145
8
Human ERG-2 protein is a phosphorylated DNA-binding protein--a distinct member of the ets family.
199341
9 198837
10 199536
11 199235
12 199535
13 199033
14 199926
15 199225
16 200015
17 198913
18 200412
19 19918
20 19936

About N K Bhat

N K Bhat is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA modifications and cancer (3 papers), Glutathione Transferases and Polymorphisms (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA Repair Mechanisms (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Cancer Research (229 citations), Immunology (291 citations), Molecular Biology (762 citations), Oncology (201 citations) and Immunology and Allergy (35 citations). N K Bhat has collaborated with scholars based in United States, Pakistan and Cameroon. Frequent co-authors include Shigeyoshi Fujiwara, Robert J. Fisher, Bhupendra Singh, Takis S. Papas, Richard Ascione, T S Papas, Anwesha Chatterjee, Amruta Ronghe, Shigeki Koizumi and T S Papas. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Biological Chemistry and Carcinogenesis.

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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