Shiny Thomas
Impact in
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- Neurogenetic and Muscular Disorders Research
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- Autism Spectrum Disorder Research
Papers in
- Genetics 7
- Neurogenetic and Muscular Disorders Research 7
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- Muscle Physiology and Disorders 13
- Co-authors
- Chami Arumughan (2 shared papers)Chidambaram Balachandran (2 shared papers)Brian K. Lee (2 shared papers)Mary E. Hovinga (1 shared paper)Dheeraj Rai (1 shared paper)Emma Ciafaloni (8 shared papers)Christina P. Westfield (6 shared papers)Kristin M. Caspers Conway (7 shared papers)
- Journals
- Muscle & Nerve (6 papers)Birth Defects Research (2 papers)Journal of Child Neurology (2 papers)LWT (1 paper)Neuromuscular Disorders (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Shiny Thomas
27 papers receiving 426 citations
Peers
Comparison fields: 5 of 82
- Genetics 40
- Cognitive Neuroscience 47
- Molecular Biology 125
- Organic Chemistry 60
- Food Science 35
Countries citing papers authored by Shiny Thomas
This map shows the geographic impact of Shiny Thomas'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 Shiny Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiny Thomas more than expected).
Fields of papers citing papers by Shiny Thomas
This network shows the impact of papers produced by Shiny Thomas. 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 Shiny Thomas. The network helps show where Shiny Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiny Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 83 | |
| 2 | 2007 | 61 | |
| 3 | 2016 | 59 | |
| 4 | 2022 | 46 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 28 | |
| 7 | 2018 | 16 | |
| 8 | 2019 | 16 | |
| 9 | 2024 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2013 | 10 | |
| 13 | 2018 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Shiny Thomas
Shiny Thomas is a scholar working on Genetics, Molecular Biology, Plant Science, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 31 papers that have together received 441 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Neurogenetic and Muscular Disorders Research (7 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Biosensors and Analytical Detection (2 papers), Natural Antidiabetic Agents Studies (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Phase Equilibria and Thermodynamics (1 paper). The work is most often cited by research in Genetics (40 citations), Cognitive Neuroscience (47 citations), Molecular Biology (125 citations), Organic Chemistry (60 citations) and Food Science (35 citations). Shiny Thomas has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Chami Arumughan, Chidambaram Balachandran, Brian K. Lee, Mary E. Hovinga, Dheeraj Rai, Emma Ciafaloni, Christina P. Westfield, Kristin M. Caspers Conway, Arnab Sen and INGUDAM SHAKUNTALA. Their work appears in journals such as Muscle & Nerve, Birth Defects Research, Journal of Child Neurology, LWT and Neuromuscular Disorders.
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.