Prasit Pavasant

7.4k total citations
212 papers, 5.9k citations indexed

About

Prasit Pavasant is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Prasit Pavasant has authored 212 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 49 papers in Biomedical Engineering and 38 papers in Biomaterials. Recurrent topics in Prasit Pavasant's work include Bone Tissue Engineering Materials (41 papers), Mesenchymal stem cell research (37 papers) and Electrospun Nanofibers in Biomedical Applications (27 papers). Prasit Pavasant is often cited by papers focused on Bone Tissue Engineering Materials (41 papers), Mesenchymal stem cell research (37 papers) and Electrospun Nanofibers in Biomedical Applications (27 papers). Prasit Pavasant collaborates with scholars based in Thailand, Japan and United States. Prasit Pavasant's co-authors include Pitt Supaphol, Thanaphum Osathanon, Neeracha Sanchavanakit, Nunthawan Nowwarote, Patcharaporn Wutticharoenmongkol, Jeeranan Manokawinchoke, Tussanee Yongchaitrakul, Muenduen Phisalaphong, Vincent Everts and Boontharika Chuenjitkuntaworn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Prasit Pavasant

209 papers receiving 5.8k 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 Pavasant Thailand 43 2.0k 1.9k 1.6k 880 652 212 5.9k
Barbara Zavan Italy 47 1.3k 0.6× 2.4k 1.3× 1.6k 1.0× 1.4k 1.6× 866 1.3× 204 6.5k
Gang Wu China 36 880 0.4× 1.9k 1.0× 1.5k 0.9× 856 1.0× 410 0.6× 187 4.7k
Liu Hong China 41 999 0.5× 1.8k 0.9× 1.6k 1.0× 867 1.0× 581 0.9× 150 5.8k
Xiaoxiao Cai China 51 1.0k 0.5× 2.1k 1.1× 3.9k 2.4× 729 0.8× 665 1.0× 241 7.5k
Monica Mattioli‐Belmonte Italy 42 1.7k 0.8× 2.1k 1.1× 719 0.4× 952 1.1× 456 0.7× 168 5.2k
Xinquan Jiang China 53 2.2k 1.1× 5.3k 2.8× 1.7k 1.0× 1.9k 2.1× 770 1.2× 152 8.4k
Kang Ting United States 51 1.0k 0.5× 2.0k 1.1× 3.0k 1.8× 1.7k 2.0× 1.1k 1.7× 160 8.1k
Lunguo Xia China 38 1.1k 0.5× 3.2k 1.7× 1.1k 0.7× 934 1.1× 315 0.5× 98 4.9k
Shaohua Ge China 39 665 0.3× 1.7k 0.9× 840 0.5× 565 0.6× 664 1.0× 188 4.4k
Qingsong Ye China 41 893 0.4× 1.4k 0.8× 1.4k 0.8× 621 0.7× 496 0.8× 233 4.9k

Countries citing papers authored by Prasit Pavasant

Since Specialization
Citations

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

Fields of papers citing papers by Prasit Pavasant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasit Pavasant

This figure shows the co-authorship network connecting the top 25 collaborators of Prasit Pavasant. A scholar is included among the top collaborators of Prasit Pavasant 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 Pavasant. Prasit Pavasant 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.
Klincumhom, Nuttha, et al.. (2023). Periostin‐integrin interaction regulates force‐induced TGF ‐β1 and α‐SMA expression by hPDLSCs. Oral Diseases. 30(4). 2570–2579. 12 indexed citations
2.
Pavasant, Prasit, et al.. (2023). Osteogenic induction of asiatic acid derivatives in human periodontal ligament stem cells. Scientific Reports. 13(1). 14102–14102. 5 indexed citations
3.
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5.
Pavasant, Prasit, et al.. (2019). Vibration activates the actin/NF‐κB axis and upregulates IL‐6 and IL‐8 expression in human periodontal ligament cells. Cell Biology International. 44(2). 661–670. 13 indexed citations
6.
Limjeerajarus, Chalida Nakalekha, et al.. (2019). Prolonged release of iloprost enhances pulpal blood flow and dentin bridge formation in a rat model of mechanical tooth pulp exposure. Journal of Oral Science. 61(1). 73–81. 13 indexed citations
7.
Manokawinchoke, Jeeranan, Prasit Pavasant, Chenphop Sawangmake, et al.. (2019). Intermittent compressive force promotes osteogenic differentiation in human periodontal ligament cells by regulating the transforming growth factor-β pathway. Cell Death and Disease. 10(10). 761–761. 48 indexed citations
8.
Osathanon, Thanaphum, et al.. (2019). Jagged1 promotes mineralization in human bone-derived cells. Archives of Oral Biology. 99. 134–140. 19 indexed citations
9.
Nowwarote, Nunthawan, Chenphop Sawangmake, Prasit Pavasant, & Thanaphum Osathanon. (2017). Review of the role of basic fibroblast growth factor in dental tissue-derived mesenchymal stem cells. Asian Biomedicine. 9(3). 271–283. 7 indexed citations
10.
Sawangmake, Chenphop, et al.. (2016). Osteogenic differentiation potential of canine bone marrow-derived mesenchymal stem cells under different -glycerophosphate concentrations in vitro. 46(4). 617–625. 4 indexed citations
11.
Pavasant, Prasit, et al.. (2016). Effect of Jagged-1 and Dll-1 on osteogenic differentiation by stem cells from human exfoliated deciduous teeth. Archives of Oral Biology. 65. 1–8. 26 indexed citations
12.
Sawangmake, Chenphop, et al.. (2016). Osteogenic differentiation potential of canine bone marrow-derived mesenchymal stem cells under different β-glycerophosphate concentrations in vitro. The Thai Journal of Veterinary Medicine. 46(4). 617–625. 10 indexed citations
13.
Huynh, Nam Cong‐Nhat, Vincent Everts, Prasit Pavasant, & Ruchanee Salingcarnboriboon Ampornaramveth. (2015). Inhibition of Histone Deacetylases Enhances the Osteogenic Differentiation of Human Periodontal Ligament Cells. Journal of Cellular Biochemistry. 117(6). 1384–1395. 50 indexed citations
14.
Amnuoypol, Surattana, et al.. (2015). Tinospora crispa extract inhibits MMP-13 and migration of head and neck squamous cell carcinoma cell lines. Asian Pacific Journal of Tropical Biomedicine. 5(9). 738–743. 13 indexed citations
15.
Vivatbutsiri, Philaiporn, et al.. (2014). Characterization of Femur, Mandible and Bone Marrow-derived Mesenchymal Stromal Cells from Streptozotocin-Injected Mice. The Thai Journal of Veterinary Medicine. 44(4). 477–486. 2 indexed citations
16.
17.
Tompkins, Kevin A., et al.. (2014). Characterization and cytological effects of a novel glycated gelatine substrate. Biomedical Materials. 9(2). 25001–25001. 6 indexed citations
18.
Yongchaitrakul, Tussanee, Jeeranan Manokawinchoke, & Prasit Pavasant. (2009). Osteoprotegerin induces osteopontin via syndecan‐1 and phosphoinositol 3‐kinase/Akt in human periodontal ligament cells. Journal of Periodontal Research. 44(6). 776–783. 6 indexed citations
19.
Arksornnukit, Mansuang, Hidekazu Takahashi, Norihiro Nishiyama, & Prasit Pavasant. (2004). Effects of Heat and pH in Silanation Process on Flexural Properties and Hydrolytic Durabilities of Composite Resin after Hot Water Storage. Dental Materials Journal. 23(2). 175–179. 9 indexed citations
20.
Pavasant, Prasit, et al.. (1993). Molecular and cellular analysis of basement membrane invasion by human breast cancer cells in Matrigel-based in vitro assays. Faculty of Health. 8 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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