Decha Pinkaew

995 total citations
39 papers, 784 citations indexed

About

Decha Pinkaew is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Decha Pinkaew has authored 39 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Biotechnology. Recurrent topics in Decha Pinkaew's work include Pharmacological Effects of Natural Compounds (5 papers), Biological Activity of Diterpenoids and Biflavonoids (5 papers) and Phytochemistry and Bioactivity Studies (4 papers). Decha Pinkaew is often cited by papers focused on Pharmacological Effects of Natural Compounds (5 papers), Biological Activity of Diterpenoids and Biflavonoids (5 papers) and Phytochemistry and Bioactivity Studies (4 papers). Decha Pinkaew collaborates with scholars based in Thailand, United States and Canada. Decha Pinkaew's co-authors include Ken Fujise, Ken Fujise, Jiraporn Tocharus, Nongporn Hutadilok‐Towatana, Chainarong Tocharus, Zhihe Liu, Mingyao Liu, Sung‐Gook Cho, Tingfang Yi and Weijing Qu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Decha Pinkaew

37 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Decha Pinkaew Thailand 18 342 103 90 80 79 39 784
Xiaolin Yang China 17 440 1.3× 115 1.1× 76 0.8× 47 0.6× 71 0.9× 81 1.0k
Myeong Sook Cheon Austria 17 431 1.3× 148 1.4× 156 1.7× 60 0.8× 53 0.7× 27 837
Taesook Yoon South Korea 16 379 1.1× 225 2.2× 54 0.6× 48 0.6× 67 0.8× 30 790
Yu Dong China 18 456 1.3× 100 1.0× 85 0.9× 59 0.7× 92 1.2× 56 1.1k
Ryotaro Saiki Japan 18 415 1.2× 43 0.4× 100 1.1× 47 0.6× 66 0.8× 31 761
Xi Peng China 16 182 0.5× 111 1.1× 56 0.6× 32 0.4× 36 0.5× 46 619
Tânia Longo Mazzuco Brazil 21 320 0.9× 119 1.2× 90 1.0× 24 0.3× 57 0.7× 44 1.5k
Kang Pa Lee South Korea 19 368 1.1× 96 0.9× 85 0.9× 77 1.0× 98 1.2× 64 879
Sharadha Dayalan Naidu United Kingdom 16 673 2.0× 47 0.5× 79 0.9× 78 1.0× 90 1.1× 23 872
Spandana Rajendra Kopalli South Korea 17 324 0.9× 50 0.5× 62 0.7× 33 0.4× 57 0.7× 50 713

Countries citing papers authored by Decha Pinkaew

Since Specialization
Citations

This map shows the geographic impact of Decha Pinkaew'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 Decha Pinkaew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Decha Pinkaew more than expected).

Fields of papers citing papers by Decha Pinkaew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Decha Pinkaew. 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 Decha Pinkaew. The network helps show where Decha Pinkaew may publish in the future.

Co-authorship network of co-authors of Decha Pinkaew

This figure shows the co-authorship network connecting the top 25 collaborators of Decha Pinkaew. A scholar is included among the top collaborators of Decha Pinkaew 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 Decha Pinkaew. Decha Pinkaew 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.
2.
Pinkaew, Decha, Preedakorn Chunhacha, Hasseri Halim, et al.. (2025). Fortilin deficiency induces anti-atherosclerotic phenotypes in macrophages and protects hypercholesterolemic mice against atherosclerosis. Communications Biology. 8(1). 1040–1040.
3.
Chunhacha, Preedakorn, et al.. (2021). Fortilin inhibits p53, halts cardiomyocyte apoptosis, and protects the heart against heart failure. Cell Death Discovery. 7(1). 310–310. 10 indexed citations
4.
Pinkaew, Decha, et al.. (2021). The antiaging property of aqueous extract of Millingtonia hortensis flowers in aging neuron. Journal of Advanced Pharmaceutical Technology amp Research. 12(1). 14–21. 4 indexed citations
5.
Tubsuwan, Alisa, et al.. (2021). GRP78/BiP determines senescence evasion cell fate after cisplatin-based chemotherapy. Scientific Reports. 11(1). 22448–22448. 14 indexed citations
6.
Halim, Hasseri, et al.. (2019). Ticagrelor induces paraoxonase-1 (PON1) and better protects hypercholesterolemic mice against atherosclerosis compared to clopidogrel. PLoS ONE. 14(6). e0218934–e0218934. 15 indexed citations
7.
8.
Pinkaew, Decha, et al.. (2019). Phonophoresis of Phyllanthus amarus nanoparticle gel improves functional capacity in individuals with knee osteoarthritis: A randomized controlled trial. Journal of Bodywork and Movement Therapies. 24(1). 15–18. 11 indexed citations
9.
Pinkaew, Decha, Abhijnan Chattopadhyay, Matthew D. King, et al.. (2017). Fortilin binds IRE1α and prevents ER stress from signaling apoptotic cell death. Nature Communications. 8(1). 18–18. 63 indexed citations
10.
Pinkaew, Decha, et al.. (2016). Effects of L-Carnitine Supplementation on Metabolic Utilization of Oxygen and Lipid Profile among Trained and Untrained Humans. Asian Journal of Sports Medicine. 8(1). 5 indexed citations
11.
Govitrapong, Piyarat, et al.. (2015). Melatonin Protects Methamphetamine-Induced Neuroinflammation Through NF-κB and Nrf2 Pathways in Glioma Cell Line. Neurochemical Research. 40(7). 1448–1456. 46 indexed citations
12.
Pinkaew, Decha, Chatchawan Changtam, Chainarong Tocharus, et al.. (2015). Association of Neuroprotective Effect of Di-O-Demethylcurcumin on Aβ25–35-Induced Neurotoxicity with Suppression of NF-κB and Activation of Nrf2. Neurotoxicity Research. 29(1). 80–91. 20 indexed citations
13.
Tocharus, Chainarong, et al.. (2014). Neuroprotective effect of purple rice extract and its constituent against amyloid beta-induced neuronal cell death in SK-N-SH cells. NeuroToxicology. 45. 149–158. 37 indexed citations
14.
Pinkaew, Decha, et al.. (2014). Elevation of serum fortilin levels is specific for apoptosis and signifies cell death in vivo. SHILAP Revista de lepidopterología. 2. 103–111. 15 indexed citations
15.
Pinkaew, Decha, et al.. (2014). Di-O-demethylcurcumin protects SK-N-SH cells against mitochondrial and endoplasmic reticulum-mediated apoptotic cell death induced by Aβ25-35. Neurochemistry International. 80. 110–119. 33 indexed citations
16.
Danwisetkanjana, Kannawat, et al.. (2013). Insights into the Prostanoid Pathway in the Ovary Development of the Penaeid Shrimp Penaeus monodon. PLoS ONE. 8(10). e76934–e76934. 52 indexed citations
17.
Hutadilok‐Towatana, Nongporn, et al.. (2010). Morelloflavone from Garcinia dulcis as a Novel Biflavonoid Inhibitor of HMG‐CoA Reductase. Phytotherapy Research. 25(3). 424–428. 27 indexed citations
18.
Koide, Yuichi, Tomomi Kiyota, Decha Pinkaew, et al.. (2009). Embryonic lethality of fortilin-null mutant mice by BMP-pathway overactivation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1790(5). 326–338. 30 indexed citations
19.
Hutadilok‐Towatana, Nongporn, et al.. (2008). Ant-Altherogenic Effects of Morelloflavone from Garcinia dulcis Leaves in Cholesterol Fed Rabbits. Journal of Natural Remedies. 8(2). 151–159. 5 indexed citations
20.
Pinkaew, Decha, Sung‐Gook Cho, David Y. Hui, et al.. (2008). Morelloflavone blocks injury-induced neointimal formation by inhibiting vascular smooth muscle cell migration. Biochimica et Biophysica Acta (BBA) - General Subjects. 1790(1). 31–39. 26 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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