Audesh Bhat

2.1k citations
68 papers · 1.6k · h-index 20

Impact in

    • Epigenetics and DNA Methylation
    • Mitochondrial Function and Pathology
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • CRISPR and Genetic Engineering

Papers in

    • DNA Repair Mechanisms 10
    • RNA regulation and disease 7
    • Genomics and Chromatin Dynamics 6
    • Metabolism, Diabetes, and Cancer 5
    • Epigenetics and DNA Methylation 4
    • Mitochondrial Function and Pathology 4
    • Forensic and Genetic Research 4

Audesh Bhat

64 papers receiving 1.6k citations

Peers

Audesh Bhat
Comparison fields: 5 of 114
  • Molecular Biology 1.1k
  • Clinical Biochemistry 98
  • Reproductive Medicine 90
  • Cancer Research 145
  • Genetics 236
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Joan Blanchette‐Mackie United States
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Citations per field
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Citations per year

Countries citing papers authored by Audesh Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Audesh Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008310
2 2006143
3 200996
4 200894
5 201373
6 202167
7 201863
8 200754
9 200953
10 200746
11 202244
12 200643
13 200834
14 202330
15 201530
16 202128
17 201925
18 202024
19 202122
20 201520

About Audesh Bhat

Audesh Bhat is a scholar working on Molecular Biology, Genetics, Oncology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), RNA regulation and disease (7 papers), Genomics and Chromatin Dynamics (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Pancreatic function and diabetes (4 papers), Forensic and Genetic Research (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Clinical Biochemistry (98 citations), Reproductive Medicine (90 citations), Cancer Research (145 citations) and Genetics (236 citations). Audesh Bhat has collaborated with scholars based in India, United States and Canada. Frequent co-authors include R. Bamezai, Swarkar Sharma, Arti Dhar, Ekta Rai, Katayoon Darvishi, Wei Xiao, Rakesh Kumar, Indu Dhar, Dharmarajan Sriram and Hong Lei. Their work appears in journals such as Human Genetics, Journal of Biochemical and Molecular Toxicology, Life Sciences, Biochemical Pharmacology and Molecular and Cellular Biology.

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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