Audesh Bhat

2.1k citations
70 papers · 1.7k · h-index 20

Impact in

    • Sperm and Testicular Function
    • Epigenetics and DNA Methylation
    • Mitochondrial Function and Pathology
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics

Papers in

Audesh Bhat

64 papers receiving 1.6k citations

Peers

Audesh Bhat
Comparison fields: 5 of 94
  • Reproductive Medicine 137
  • Molecular Biology 796
  • Genetics 296
  • Aging 10
  • Cardiology and Cardiovascular Medicine 125
Replace Sunshin Kim with:
Sunshin Kim South Korea
Heidi M. Dorward United States
Patrice M. Connell United States
Pia Höglund Finland
Tao Zhou China
Andrée Yeramian Spain
Yun Liu China
Jung Sun Park South Korea
Katsuhiko Yasuda Japan
Audesh Bhat relative to Sunshin Kim South Korea Sunshin Kim's profile →
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008316
2 2006142
3 2009101
4 200894
5 201374
6 202169
7 201867
8 200754
9 200952
10 202250
11 200644
12 200744
13 200834
14 201533
15 202332
16 202131
17 201926
18 202024
19 202124
20 202121

About Audesh Bhat

Audesh Bhat is a scholar working on Genetics, Reproductive Medicine, Cardiology and Cardiovascular Medicine, Nephrology and Cell Biology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), DNA Repair Mechanisms (9 papers), Chronic Kidney Disease and Diabetes (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Forensic and Genetic Research (5 papers), Mitochondrial Function and Pathology (4 papers), Sperm and Testicular Function (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). The work is most often cited by research in Reproductive Medicine (137 citations), Molecular Biology (796 citations), Genetics (296 citations), Aging (10 citations) and Cardiology and Cardiovascular Medicine (125 citations). Audesh Bhat has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Ramesh N K Bamezai, Arti Dhar, Swarkar Sharma, Ekta Rai, Katayoon Darvishi, Rakesh Kumar, Wei Xiao, Indu Dhar, Dharmarajan Sriram and Yi Zhang. Their work appears in journals such as Journal of Biochemical and Molecular Toxicology, Human Genetics, Life Sciences, Scientific Reports and European Journal of Pharmacology.

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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