Prech Uapinyoying
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Muscle Physiology and Disorders 6
- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
- CRISPR and Genetic Engineering 1
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- Adipose Tissue and Metabolism 2
- Co-authors
- Nitish V. Thakor (1 shared paper)Suneil Hosmane (1 shared paper)Million Adane Tegenge (1 shared paper)Arun Venkatesan (1 shared paper)Nishant Ganesh Kumar (1 shared paper)Labchan Rajbhandari (1 shared paper)Jyoti K. Jaiswal (5 shared papers)Carsten G. Bönnemann (6 shared papers)
- Journals
- Scientific Reports (1 paper)Clinical Genetics (1 paper)iScience (1 paper)Aging Cell (1 paper)Annals of Clinical and Translational Neurology (1 paper)
- Partner nations
- United StatesSri LankaSwitzerland
In The Last Decade
Prech Uapinyoying
12 papers receiving 260 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 40
- Neurology 44
- Aging 5
- Genetics 21
- Molecular Biology 136
Countries citing papers authored by Prech Uapinyoying
This map shows the geographic impact of Prech Uapinyoying'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 Prech Uapinyoying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prech Uapinyoying more than expected).
Fields of papers citing papers by Prech Uapinyoying
This network shows the impact of papers produced by Prech Uapinyoying. 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 Prech Uapinyoying. The network helps show where Prech Uapinyoying may publish in the future.
Co-authors
The 25 scholars most cited alongside Prech Uapinyoying, 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 | 2012 | 79 | |
| 2 | 2014 | 71 | |
| 3 | 2020 | 29 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2022 | 1 |
About Prech Uapinyoying
Prech Uapinyoying is a scholar working on Molecular Biology, Physiology, Genetics, Organic Chemistry and Surgery, having authored 12 papers that have together received 260 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Neurogenetic and Muscular Disorders Research (2 papers), RNA modifications and cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Exercise and Physiological Responses (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Glycosylation and Glycoproteins Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (40 citations), Neurology (44 citations), Aging (5 citations), Genetics (21 citations) and Molecular Biology (136 citations). Prech Uapinyoying has collaborated with scholars based in United States, Sri Lanka and Switzerland. Frequent co-authors include Nitish V. Thakor, Suneil Hosmane, Million Adane Tegenge, Arun Venkatesan, Nishant Ganesh Kumar, Labchan Rajbhandari, Jyoti K. Jaiswal, Carsten G. Bönnemann, Dwight E. Bergles and Davi A. G. Mázala. Their work appears in journals such as Scientific Reports, Clinical Genetics, iScience, Aging Cell and Annals of Clinical and Translational Neurology.
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.