Parinya Noisa

2.2k total citations
77 papers, 1.7k citations indexed

About

Parinya Noisa is a scholar working on Molecular Biology, Physiology and Biomedical Engineering. According to data from OpenAlex, Parinya Noisa has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 14 papers in Physiology and 13 papers in Biomedical Engineering. Recurrent topics in Parinya Noisa's work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (10 papers) and Protein Hydrolysis and Bioactive Peptides (8 papers). Parinya Noisa is often cited by papers focused on Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (10 papers) and Protein Hydrolysis and Bioactive Peptides (8 papers). Parinya Noisa collaborates with scholars based in Thailand, Finland and United Kingdom. Parinya Noisa's co-authors include Nipha Chaicharoenaudomrung, Phongsakorn Kunhorm, Thiranut Jaroonwitchawan, Taneli Raivio, Wei Cui, Jirawat Yongsawatdigul, Anyanee Kamkaew, Kantapat Chansaenpak, Jeeranan Nonkumwong and Laongnuan Srisombat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Parinya Noisa

75 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Parinya Noisa Thailand 23 853 389 158 152 143 77 1.7k
Yijie Shi China 33 1.6k 1.9× 421 1.1× 216 1.4× 164 1.1× 132 0.9× 70 3.1k
Buddhadev Layek United States 25 966 1.1× 360 0.9× 118 0.7× 183 1.2× 52 0.4× 41 2.1k
Wei Shao China 23 1.3k 1.5× 342 0.9× 216 1.4× 180 1.2× 197 1.4× 58 2.4k
Aiping Wang China 28 767 0.9× 457 1.2× 120 0.8× 97 0.6× 69 0.5× 71 2.3k
Chao Yan China 26 844 1.0× 326 0.8× 113 0.7× 190 1.3× 134 0.9× 76 2.0k
Chunhui Sun China 26 675 0.8× 507 1.3× 139 0.9× 111 0.7× 192 1.3× 84 1.8k
Shuo Liu China 26 844 1.0× 348 0.9× 300 1.9× 107 0.7× 212 1.5× 80 2.3k
Siwei Wang China 27 1.1k 1.3× 203 0.5× 83 0.5× 158 1.0× 120 0.8× 92 2.4k
Guangfan Chi China 23 980 1.1× 370 1.0× 117 0.7× 196 1.3× 121 0.8× 49 1.9k
Ye Xu China 32 1.3k 1.5× 249 0.6× 178 1.1× 276 1.8× 102 0.7× 77 2.5k

Countries citing papers authored by Parinya Noisa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Parinya Noisa

This figure shows the co-authorship network connecting the top 25 collaborators of Parinya Noisa. A scholar is included among the top collaborators of Parinya Noisa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Parinya Noisa. Parinya Noisa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Buranrat, Benjaporn, et al.. (2025). Oroxylum indicum (L.) Leaf Extract Attenuates β-Amyloid-Induced Neurotoxicity in SH-SY5Y Cells. International Journal of Molecular Sciences. 26(7). 2917–2917. 2 indexed citations
2.
Kunhorm, Phongsakorn, et al.. (2025). Development of CRISRP/Cas9-based TP53-knockout pig muscle stem cells for use in the cultured meat industry. 3 Biotech. 15(4). 92–92. 4 indexed citations
3.
4.
Chansaenpak, Kantapat, et al.. (2024). Cannabidiol and Aza-BODIPY Coencapsulation for Photodynamic Therapy Enhancement in Liver Cancer Cells. ACS Applied Bio Materials. 7(6). 3890–3899. 4 indexed citations
5.
Kunhorm, Phongsakorn, et al.. (2024). Rapid induction of dopaminergic neuron-like cells from human fibroblasts by autophagy activation with only 2-small molecules. 3 Biotech. 14(4). 115–115. 1 indexed citations
6.
Noisa, Parinya, et al.. (2023). Effect of ultrasound and thermal pretreatments on antioxidant activity of egg white hydrolysate. Journal of Food Science. 89(1). 356–369. 1 indexed citations
7.
Kunhorm, Phongsakorn, et al.. (2023). Cordycepin EnhancesSIRT1Expression and Maintains Stemness of Human Mesenchymal Stem Cells. In Vivo. 37(2). 596–610. 3 indexed citations
8.
Kunhorm, Phongsakorn, Nipha Chaicharoenaudomrung, & Parinya Noisa. (2023). Cordycepin-induced Keratinocyte Secretome Promotes Skin Cell Regeneration. In Vivo. 37(2). 574–590. 6 indexed citations
9.
Chaicharoenaudomrung, Nipha, et al.. (2023). Encapsulation of HaCaT Secretome for Enhanced Wound Healing Capacity on Human Dermal Fibroblasts. Molecular Biotechnology. 66(1). 44–55. 4 indexed citations
10.
Noisa, Parinya, et al.. (2022). Prolyl oligopeptidase inhibition and cellular antioxidant activities of a corn gluten meal hydrolysate. Cereal Chemistry. 99(6). 1183–1195. 8 indexed citations
11.
Wangngae, Sirilak, Kantapat Chansaenpak, Rung‐Yi Lai, et al.. (2022). Indomethacin-based near-infrared photosensitizer for targeted photodynamic cancer therapy. Bioorganic Chemistry. 122. 105758–105758. 10 indexed citations
12.
Chaicharoenaudomrung, Nipha, et al.. (2021). Transgenic Immortalization of Human Dermal Fibroblasts Mediated Through the MicroRNA/SIRT1 Pathway. In Vivo. 36(1). 140–152. 3 indexed citations
13.
Sotthibundhu, Areechun, et al.. (2021). Combination of Melatonin and Small Molecules Improved Reprogramming Neural Cell Fates via Autophagy Activation. Neurochemical Research. 47(9). 2580–2590. 9 indexed citations
14.
Sotthibundhu, Areechun, et al.. (2021). Autophagy Promoted Neural Differentiation of Human Placenta-derived Mesenchymal Stem Cells. In Vivo. 35(5). 2609–2620. 9 indexed citations
15.
Chaicharoenaudomrung, Nipha, Phongsakorn Kunhorm, & Parinya Noisa. (2019). Three-dimensional cell culture systems as an in vitro platform for cancer and stem cell modeling. World Journal of Stem Cells. 11(12). 1065–1083. 271 indexed citations
16.
Chaicharoenaudomrung, Nipha, et al.. (2019). Transcriptomic Profiling of 3D Glioblastoma Tumoroids for the Identification of Mechanisms Involved in Anticancer Drug Resistance. In Vivo. 34(1). 199–211. 16 indexed citations
17.
Sotthibundhu, Areechun, et al.. (2018). Roles of autophagy in controlling stem cell identity: a perspective of self-renewal and differentiation. Cell and Tissue Research. 374(2). 205–216. 46 indexed citations
18.
Jaroonwitchawan, Thiranut, et al.. (2018). Combined effects of curcumin and doxorubicin on cell death and cell migration of SH-SY5Y human neuroblastoma cells. In Vitro Cellular & Developmental Biology - Animal. 54(9). 629–639. 34 indexed citations
19.
Wu, Jia Qian, Lukas Habegger, Parinya Noisa, et al.. (2010). Dynamic transcriptomes during neural differentiation of human embryonic stem cells revealed by short, long, and paired-end sequencing. Proceedings of the National Academy of Sciences. 107(11). 5254–5259. 150 indexed citations
20.
Noisa, Parinya, et al.. (2010). Generation of Human Embryonic Stem Cells Carrying Lineage Specific Reporters. Methods in molecular biology. 690. 95–106. 1 indexed citations

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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