Narayanappa Gayathri
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 28
- Neurology top 5%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 37
- Muscle Physiology and Disorders 27
- ATP Synthase and ATPases Research 16
- Nuclear Structure and Function 12
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research 13
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- Genetic Neurodegenerative Diseases 12
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- Cardiomyopathy and Myosin Studies 12
- Co-authors
- Atchayaram NaliniM. M. Srinivas BharathSanjib SinhaArun B. TalyParayil Sankaran BinduT.C. YashaS. ThilagarD. Kumar
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (6 papers)PLoS ONE (2 papers)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Narayanappa Gayathri
129 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Clinical Biochemistry 211
- Neurology 202
- Molecular Biology 872
- Genetics 132
- Cellular and Molecular Neuroscience 212
Countries citing papers authored by Narayanappa Gayathri
This map shows the geographic impact of Narayanappa Gayathri'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 Narayanappa Gayathri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narayanappa Gayathri more than expected).
Fields of papers citing papers by Narayanappa Gayathri
This network shows the impact of papers produced by Narayanappa Gayathri. 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 Narayanappa Gayathri. The network helps show where Narayanappa Gayathri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Narayanappa Gayathri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 10 | |
| 7 | 2017 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 22 | |
| 12 | 2014 | 2 | |
| 13 | 2014 | 23 | |
| 14 | 2013 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2012 | 2 | |
| 17 | Familial amyloidotic polyneuropathy with muscle, vitreous, leptomeningeal, and cardiac involvement: Phenotypic, pathological, and MRI description | 2010 | 1 |
| 18 | 2010 | 15 | |
| 19 | 2008 | 1 | |
| 20 | Metabolic Disorders Presenting as Vacuolar Myopathy | 1999 | 2 |
About Narayanappa Gayathri
Narayanappa Gayathri is a scholar working on Clinical Biochemistry, Rheumatology and Genetics, having authored 136 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (37 papers), Metabolism and Genetic Disorders (28 papers), Muscle Physiology and Disorders (27 papers), ATP Synthase and ATPases Research (16 papers), Neurogenetic and Muscular Disorders Research (13 papers), Genetic Neurodegenerative Diseases (12 papers), Nuclear Structure and Function (12 papers) and Cardiomyopathy and Myosin Studies (12 papers). The work is most often cited by research in Clinical Biochemistry (211 citations), Neurology (202 citations) and Molecular Biology (872 citations). Narayanappa Gayathri has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Atchayaram Nalini, M. M. Srinivas Bharath, Sanjib Sinha, Arun B. Taly, Parayil Sankaran Bindu, T.C. Yasha, S. Thilagar, D. Kumar, R. Karthik and Kumarasamy Thangaraj. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.