Preecha Phuwapraisirisan

2.0k total citations
93 papers, 1.5k citations indexed

About

Preecha Phuwapraisirisan is a scholar working on Molecular Biology, Plant Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Preecha Phuwapraisirisan has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 34 papers in Plant Science and 26 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Preecha Phuwapraisirisan's work include Natural Antidiabetic Agents Studies (26 papers), Bee Products Chemical Analysis (15 papers) and Phytochemicals and Antioxidant Activities (12 papers). Preecha Phuwapraisirisan is often cited by papers focused on Natural Antidiabetic Agents Studies (26 papers), Bee Products Chemical Analysis (15 papers) and Phytochemicals and Antioxidant Activities (12 papers). Preecha Phuwapraisirisan collaborates with scholars based in Thailand, Indonesia and Japan. Preecha Phuwapraisirisan's co-authors include Santi Tip‐pyang, Chanpen Chanchao, Sumrit Wacharasindhu, Songchan Puthong, Rico Ramadhan, Udom Kokpol, Pongpun Siripong, Nobuhiro Fusetani, Sirichai Adisakwattana and Masayuki Okuyama and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Molecules and Organic Letters.

In The Last Decade

Preecha Phuwapraisirisan

83 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preecha Phuwapraisirisan Thailand 24 476 428 364 280 275 93 1.5k
Byong Won Lee South Korea 25 882 1.9× 754 1.8× 262 0.7× 108 0.4× 217 0.8× 81 2.0k
Mohd Rais Mustafa Malaysia 16 396 0.8× 308 0.7× 120 0.3× 174 0.6× 205 0.7× 18 1.4k
A. Trovato Italy 24 503 1.1× 679 1.6× 303 0.8× 140 0.5× 167 0.6× 38 1.7k
M.T. Monforte Italy 25 395 0.8× 728 1.7× 315 0.9× 120 0.4× 230 0.8× 39 1.9k
Lalith Jayasinghe Sri Lanka 22 546 1.1× 424 1.0× 251 0.7× 49 0.2× 307 1.1× 88 1.4k
Majekodunmi O. Fatope Oman 19 404 0.8× 656 1.5× 200 0.5× 83 0.3× 158 0.6× 42 1.3k
Ivo José Curcino Vieira Brazil 23 929 2.0× 841 2.0× 243 0.7× 98 0.3× 334 1.2× 130 2.1k
Ana Paula Murray Argentina 18 270 0.6× 513 1.2× 210 0.6× 224 0.8× 350 1.3× 70 1.2k
Takahiro Hosoya Japan 25 719 1.5× 265 0.6× 387 1.1× 120 0.4× 275 1.0× 76 1.6k
J. Fausto Rivero‐Cruz Mexico 20 319 0.7× 410 1.0× 159 0.4× 131 0.5× 175 0.6× 36 1.1k

Countries citing papers authored by Preecha Phuwapraisirisan

Since Specialization
Citations

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

Fields of papers citing papers by Preecha Phuwapraisirisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preecha Phuwapraisirisan

This figure shows the co-authorship network connecting the top 25 collaborators of Preecha Phuwapraisirisan. A scholar is included among the top collaborators of Preecha Phuwapraisirisan 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 Preecha Phuwapraisirisan. Preecha Phuwapraisirisan 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.
Sompornpisut, Pornthep, et al.. (2025). α-Glucosidase Inhibitors from the Leaves of Cannabis sativa: Structure–Activity Relationship, Kinetic Investigation, and Molecular Docking. Journal of Agricultural and Food Chemistry. 73(33). 20900–20915.
2.
Phuwapraisirisan, Preecha, et al.. (2025). A mild synthesis of o-ureidobenzonitrile derivatives via iodide-mediated electrolysis from 2-aminobenzamides. Organic & Biomolecular Chemistry. 23(33). 7643–7650.
3.
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Phuwapraisirisan, Preecha, et al.. (2024). Exploring the Relationships Between Bacterial Community, Taste-Enhancing Peptides and Aroma in Thai Fermented Fish (Pla-ra). Journal of Agricultural and Food Chemistry. 72(18). 10558–10569. 9 indexed citations
6.
Puthong, Songchan, et al.. (2024). Anti-tyrosinase and anti-melanogenic effects of piperine isolated from Piper nigrum on B16F10 mouse melanoma cells. Heliyon. 10(12). e33423–e33423. 6 indexed citations
7.
Phuwapraisirisan, Preecha, et al.. (2023). Garcowacinols A-J, cytotoxic polyprenylated benzoylphloroglucinol derivatives from the twigs of Garcinia cowa. Phytochemistry. 209. 113622–113622. 3 indexed citations
8.
9.
Puthong, Songchan, et al.. (2023). Antiproliferative and Anti-Tyrosinase Activities of Propolis from Tetragonula laeviceps and Tetragonula pegdeni in Thailand. Sains Malaysiana. 52(4). 1145–1160. 3 indexed citations
10.
Ramadhan, Rico, et al.. (2023). Phytochemical analysis in conjunction with in vitro a-glucosidase inhibitory and antioxidant activities of three Diospyros species from East Kalimantan, Indonesia. Biodiversitas Journal of Biological Diversity. 24(9). 1 indexed citations
11.
Phuwapraisirisan, Preecha, et al.. (2022). Phytochemical content, especially spermidine derivatives, presenting antioxidant and antilipoxygenase activities in Thai bee pollens. PeerJ. 10. e13506–e13506. 7 indexed citations
12.
Phuwapraisirisan, Preecha, et al.. (2022). First report of fatty acids in Mimosadiplotricha bee pollen with in vitro lipase inhibitory activity. PeerJ. 10. e12722–e12722. 6 indexed citations
13.
Sillapaprayoon, Siwapech, et al.. (2022). Developmental effects of sesamolin on zebrafish (Danio rerio) embryos. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 256. 109319–109319. 2 indexed citations
14.
Duong, Thuc‐Huy, et al.. (2020). Schomburgkixanthone, a novel bixanthone from the twigs of Garcinia schomburgkiana. Natural Product Research. 35(21). 3613–3618. 12 indexed citations
15.
Phuwapraisirisan, Preecha, et al.. (2016). Synthesis of furofuran lignans as antidiabetic agents simultaneously achieved by inhibiting α-glucosidase and free radical. Archives of Pharmacal Research. 39(10). 1370–1381. 11 indexed citations
16.
Sompornpisut, Pornthep, et al.. (2016). Voglibose-inspired synthesis of new potent α-glucosidase inhibitors N-1,3-dihydroxypropylaminocyclitols. Carbohydrate Research. 429. 155–162. 16 indexed citations
17.
Phuwapraisirisan, Preecha, et al.. (2012). Feroniellides C-E, new apotirucallane triterpenoids from the stem bark ofFeroniella lucida. Natural Product Research. 27(8). 753–760. 5 indexed citations
18.
Phuwapraisirisan, Preecha, et al.. (2012). (+)-Pinoresinol is a putative hypoglycemic agent in defatted sesame (Sesamum indicum) seeds though inhibiting α-glucosidase. Bioorganic & Medicinal Chemistry Letters. 22(16). 5215–5217. 61 indexed citations
19.
Chanchao, Chanpen, et al.. (2011). Trigona laeviceps propolis: Chemical compositions and antiproliferative activity on cancer cell lines. Planta Medica. 77(12). 1 indexed citations
20.
Tip‐pyang, Santi, et al.. (2009). A new antioxidant flavonoid from the lianas ofGnetum macrostachyum. Natural Product Research. 23(16). 1472–1477. 22 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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