Prasit Suwannalert

802 total citations
44 papers, 630 citations indexed

About

Prasit Suwannalert is a scholar working on Molecular Biology, Biochemistry and Nutrition and Dietetics. According to data from OpenAlex, Prasit Suwannalert has authored 44 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Biochemistry and 11 papers in Nutrition and Dietetics. Recurrent topics in Prasit Suwannalert's work include Phytochemicals and Antioxidant Activities (12 papers), melanin and skin pigmentation (6 papers) and Biochemical Analysis and Sensing Techniques (4 papers). Prasit Suwannalert is often cited by papers focused on Phytochemicals and Antioxidant Activities (12 papers), melanin and skin pigmentation (6 papers) and Biochemical Analysis and Sensing Techniques (4 papers). Prasit Suwannalert collaborates with scholars based in Thailand, Japan and Yemen. Prasit Suwannalert's co-authors include Chaiyavat Chaiyasut, Sartjin Peerajan, Bhagavathi Sundaram Sivamaruthi, Sasithorn Sirilun, Noppawat Pengkumsri, Sophon Sirisattha, Chalermpong Saenjum, Suda Riengrojpitak, Seiji Okada and Sarawoot Palipoch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Prasit Suwannalert

42 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prasit Suwannalert Thailand 14 204 172 164 128 119 44 630
Santwana Palai India 6 172 0.8× 195 1.1× 136 0.8× 89 0.7× 147 1.2× 26 737
Fuqiang Liang China 14 345 1.7× 128 0.7× 114 0.7× 112 0.9× 150 1.3× 27 714
Anna Merecz-Sadowska Poland 16 237 1.2× 164 1.0× 152 0.9× 65 0.5× 125 1.1× 50 737
Gao Zhou China 12 253 1.2× 191 1.1× 217 1.3× 55 0.4× 163 1.4× 27 708
Maria Claudia Lazzè Italy 11 322 1.6× 300 1.7× 135 0.8× 62 0.5× 98 0.8× 12 735
Rui Gonçalves Portugal 12 261 1.3× 258 1.5× 115 0.7× 146 1.1× 246 2.1× 15 714
Aleksandra Konić‐Ristić Serbia 17 222 1.1× 412 2.4× 206 1.3× 239 1.9× 160 1.3× 44 992
Yung‐Lin Chu Taiwan 17 331 1.6× 87 0.5× 157 1.0× 57 0.4× 144 1.2× 33 780
Abdulaziz Bin Dukhyil Saudi Arabia 7 171 0.8× 179 1.0× 119 0.7× 84 0.7× 131 1.1× 8 706
Zidan Khan Bangladesh 13 252 1.2× 96 0.6× 252 1.5× 66 0.5× 133 1.1× 17 835

Countries citing papers authored by Prasit Suwannalert

Since Specialization
Citations

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

Fields of papers citing papers by Prasit Suwannalert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasit Suwannalert

This figure shows the co-authorship network connecting the top 25 collaborators of Prasit Suwannalert. A scholar is included among the top collaborators of Prasit Suwannalert 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 Prasit Suwannalert. Prasit Suwannalert 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.
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Suwannalert, Prasit, et al.. (2024). 17-AAG Induces Endoplasmic Reticulum Stress-mediated Apoptosis in Breast Cancer Cells, Possibly Through PERK/eIF2α Up-regulation. In Vivo. 38(5). 2228–2238. 1 indexed citations
3.
Suwannalert, Prasit, et al.. (2023). N-acetylcysteine improves the inhibitory effect of Quercetin-rich onion extract on HT-29 and HCT-116 colorectal cancer migration and invasion through iNOS suppression. International Journal of Medical Sciences. 20(9). 1123–1134. 4 indexed citations
4.
Palipoch, Sarawoot, et al.. (2023). RED RICE BRAN EXTRACT SUPPRESSES COLON CANCER CELLS VIA APOPTOSIS INDUCTION/CELL CYCLE ARREST AND EXERTS ANTIMUTAGENIC ACTIVITY. Experimental Oncology. 45(2). 220–230. 3 indexed citations
5.
Worawichawong, Suchin, et al.. (2023). Role of Oxidative Stress-Dependent C/EBPβ Expression on CAF Transformation Inducing HCT116 Colorectal Cancer Cell Progression; Migration and Invasion. Asian Pacific Journal of Cancer Prevention. 24(11). 3825–3835. 1 indexed citations
6.
7.
Suwannalert, Prasit, et al.. (2022). YAP, a novel target regulates F-actin rearrangement-associated CAFs transformation and promotes colorectal cancer cell progression. Biomedicine & Pharmacotherapy. 155. 113757–113757. 14 indexed citations
8.
Suwannalert, Prasit, et al.. (2021). Onion Peel Extract Inhibits Cancer Cell Growth and Progression through the Roles of L1CAM, NF-κB, and Angiogenesis in HT-29 Colorectal Cancer Cells. Preventive Nutrition and Food Science. 26(3). 330–337. 7 indexed citations
9.
Poungvarin, Naravat, et al.. (2019). The roles of p53 and XPO1 on colorectal cancer progression in Yemeni patients. Journal of Gastrointestinal Oncology. 10(3). 437–444. 11 indexed citations
10.
Suwannalert, Prasit, et al.. (2018). Nymphaea pubescens Induces Apoptosis, Suppresses Cellular Oxidants-Related Cell Invasion in B16 Melanoma Cells. Pharmaceutical Sciences. 24(3). 199–206. 7 indexed citations
11.
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Pattananandecha, Thanawat, Sasithorn Sirilun, Bhagavathi Sundaram Sivamaruthi, et al.. (2016). Hydrolysed inulin alleviates the azoxymethane-induced preneoplastic aberrant crypt foci by altering selected intestinal microbiota in Sprague–Dawley rats. Pharmaceutical Biology. 54(9). 1596–1605. 31 indexed citations
13.
Pengkumsri, Noppawat, Chaiyavat Chaiyasut, Chalermpong Saenjum, et al.. (2015). Physicochemical and antioxidative properties of black, brown and red rice varieties of northern Thailand. Food Science and Technology. 35(2). 331–338. 122 indexed citations
14.
Limpaiboon, Temduang, et al.. (2014). Cytotoxic Effects of Phytophenolics from Caesalpinia mimosoides Lamk on Cervical Carcinoma Cell Lines through an Apoptotic Pathway. Asian Pacific Journal of Cancer Prevention. 15(1). 449–454. 25 indexed citations
15.
Palipoch, Sarawoot, Chuchard Punsawad, & Prasit Suwannalert. (2013). Thunbergia laurifolia , a new choice of natural antioxidant to prevent oxidative stress-related pathology: A review. Journal of Medicinal Plants Research. 7(12). 698–701. 5 indexed citations
16.
Palipoch, Sarawoot, et al.. (2013). Histopathology of Small Intestine Induced by Cisplatin in Male Wistar Rats. SHILAP Revista de lepidopterología. 5 indexed citations
17.
Chaiyasut, Chaiyavat, et al.. (2012). Red Strain Oryza Sativa-Unpolished Thai Rice Prevents Oxidative Stress and Colorectal Aberrant Crypt Foci Formation in Rats. Asian Pacific Journal of Cancer Prevention. 13(5). 1929–1933. 9 indexed citations
18.
Suwannalert, Prasit, et al.. (2010). High levels of 25-hydroxyvitamin D3 [25(OH)D3] and α-tocopherol prevent oxidative stress in rats that consume Thai brown rice. Journal of Medicinal Plants Research. 4(2). 120–124. 13 indexed citations
19.
Suwannalert, Prasit, et al.. (2010). Phenolic content and antioxidant activities in red unpolished Thai rice prevents oxidative stress in rats. Journal of Medicinal Plants Research. 4(9). 796–801. 52 indexed citations
20.
Suwannalert, Prasit, et al.. (2007). The levels of lycopene, alpha-tocopherol and a marker of oxidative stress in healthy northeast Thai elderly.. PubMed. 16 Suppl 1. 27–30. 21 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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