Parinya Noisa
Impact in
- Developmental Neuroscience top 5%
- Molecular Medicine top 10%
Papers in
-
- Pluripotent Stem Cells Research 18
- CRISPR and Genetic Engineering 10
- Protein Hydrolysis and Bioactive Peptides 8
- Developmental Biology and Gene Regulation 5
- Physiology 13
- Co-authors
- Nipha Chaicharoenaudomrung (27 shared papers)Phongsakorn Kunhorm (26 shared papers)Thiranut Jaroonwitchawan (7 shared papers)Taneli Raivio (7 shared papers)Wei Cui (6 shared papers)Jirawat Yongsawatdigul (8 shared papers)Kantapat Chansaenpak (8 shared papers)Anyanee Kamkaew (8 shared papers)
- Journals
- Scientific Reports (4 papers)BioMed Research International (3 papers)Journal of Functional Foods (3 papers)Foods (3 papers)RSC Advances (2 papers)
- Partner nations
- ThailandFinlandUnited Kingdom
In The Last Decade
Parinya Noisa
77 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Developmental Neuroscience 87
- Molecular Medicine 64
- Molecular Biology 817
- Genetics 111
- Pharmacology 144
Countries citing papers authored by Parinya Noisa
This map shows the geographic impact of Parinya Noisa'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 Parinya Noisa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parinya Noisa more than expected).
Fields of papers citing papers by Parinya Noisa
This network shows the impact of papers produced by Parinya Noisa. 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 Parinya Noisa. The network helps show where Parinya Noisa may publish in the future.
Co-authors
The 25 scholars most cited alongside Parinya Noisa, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 278 | |
| 2 | 2019 | 154 | |
| 3 | 2010 | 151 | |
| 4 | 2016 | 82 | |
| 5 | 2020 | 65 | |
| 6 | 2015 | 57 | |
| 7 | 2019 | 48 | |
| 8 | 2017 | 47 | |
| 9 | 2018 | 46 | |
| 10 | 2019 | 43 | |
| 11 | 2014 | 40 | |
| 12 | 2011 | 40 | |
| 13 | 2018 | 36 | |
| 14 | 2024 | 35 | |
| 15 | 2012 | 33 | |
| 16 | 2016 | 32 | |
| 17 | 2016 | 31 | |
| 18 | 2011 | 29 | |
| 19 | 2019 | 26 | |
| 20 | 2019 | 26 |
About Parinya Noisa
Parinya Noisa is a scholar working on Molecular Biology, Physiology, Biomedical Engineering, Pharmacology and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (10 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Nanoplatforms for cancer theranostics (7 papers), Autophagy in Disease and Therapy (6 papers), Developmental Biology and Gene Regulation (5 papers), Fungal Biology and Applications (5 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Developmental Neuroscience (87 citations), Molecular Medicine (64 citations), Molecular Biology (817 citations), Genetics (111 citations) and Pharmacology (144 citations). Parinya Noisa has collaborated with scholars based in Thailand, Finland and United Kingdom. Frequent co-authors include Nipha Chaicharoenaudomrung, Phongsakorn Kunhorm, Thiranut Jaroonwitchawan, Taneli Raivio, Wei Cui, Jirawat Yongsawatdigul, Kantapat Chansaenpak, Anyanee Kamkaew, Supon Ananta and Rung‐Yi Lai. Their work appears in journals such as Scientific Reports, BioMed Research International, Journal of Functional Foods, Foods and RSC Advances.
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.