Yaowalak U‐pratya

1.1k total citations
47 papers, 747 citations indexed

About

Yaowalak U‐pratya is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Yaowalak U‐pratya has authored 47 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Hematology and 11 papers in Genetics. Recurrent topics in Yaowalak U‐pratya's work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (10 papers) and Mesenchymal stem cell research (7 papers). Yaowalak U‐pratya is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (10 papers) and Mesenchymal stem cell research (7 papers). Yaowalak U‐pratya collaborates with scholars based in Thailand and United States. Yaowalak U‐pratya's co-authors include Surapol Issaragrisil, Pakpoom Kheolamai, Aungkura Supokawej, Chuti Laowtammathron, Chanchao Lorthongpanich, Methichit Wattanapanitch, Sirikul Manochantr, Nuttha Klincumhom, Weena Jiratchariyakul and Chairat Tantrawatpan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yaowalak U‐pratya

47 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaowalak U‐pratya Thailand 16 414 166 113 110 89 47 747
Dahui Sun China 15 415 1.0× 104 0.6× 61 0.5× 108 1.0× 154 1.7× 39 937
Fei Zhu China 13 261 0.6× 116 0.7× 56 0.5× 101 0.9× 36 0.4× 21 782
Xin Cheng China 16 651 1.6× 48 0.3× 130 1.2× 167 1.5× 49 0.6× 45 946
Begüm Kocatürk United States 14 299 0.7× 40 0.2× 159 1.4× 138 1.3× 116 1.3× 22 714
Marc R. Reboll Germany 12 354 0.9× 80 0.5× 43 0.4× 178 1.6× 109 1.2× 17 797
Maria Mesuraca Italy 20 631 1.5× 80 0.5× 41 0.4× 73 0.7× 155 1.7× 41 966
Krzysztof Siemianowicz Poland 13 332 0.8× 90 0.5× 50 0.4× 134 1.2× 30 0.3× 30 775
Françoise Fauvel-Lafève France 15 346 0.8× 64 0.4× 65 0.6× 83 0.8× 136 1.5× 23 709
Yu Hou China 20 680 1.6× 81 0.5× 34 0.3× 105 1.0× 109 1.2× 55 1.0k

Countries citing papers authored by Yaowalak U‐pratya

Since Specialization
Citations

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

Fields of papers citing papers by Yaowalak U‐pratya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaowalak U‐pratya. 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 Yaowalak U‐pratya. The network helps show where Yaowalak U‐pratya may publish in the future.

Co-authorship network of co-authors of Yaowalak U‐pratya

This figure shows the co-authorship network connecting the top 25 collaborators of Yaowalak U‐pratya. A scholar is included among the top collaborators of Yaowalak U‐pratya 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 Yaowalak U‐pratya. Yaowalak U‐pratya 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.
Laowtammathron, Chuti, Chanchao Lorthongpanich, Phatchanat Klaihmon, et al.. (2022). CRISPR/Cas9 mediated approach to generate YAP-depleted human embryonic stem cell line (MUSIe002-A-1). Stem Cell Research. 66. 102990–102990. 1 indexed citations
2.
Lorthongpanich, Chanchao, et al.. (2020). Effect of YAP/TAZ on megakaryocyte differentiation and platelet production. Bioscience Reports. 40(8). 8 indexed citations
3.
Laowtammathron, Chuti, et al.. (2020). Derivation of human embryonic stem cell line MUSIe001-A from an embryo with homozygous α0-thalassemia (SEA deletion). Stem Cell Research. 43. 101695–101695. 2 indexed citations
4.
Wattanapanitch, Methichit, Kongtana Trakarnsanga, Yaowalak U‐pratya, et al.. (2018). One-step genetic correction of hemoglobin E/beta-thalassemia patient-derived iPSCs by the CRISPR/Cas9 system. Stem Cell Research & Therapy. 9(1). 46–46. 45 indexed citations
5.
U‐pratya, Yaowalak, et al.. (2018). Labile iron pool as a parameter to monitor iron overload and oxidative stress status in β‐thalassemic erythrocytes. Cytometry Part B Clinical Cytometry. 94(4). 631–636. 29 indexed citations
6.
U‐pratya, Yaowalak, et al.. (2017). Dengue Virus and Its Relation to Human Glycoprotein IIb/IIIa Revealed by Fluorescence Microscopy and Flow Cytometry. Viral Immunology. 30(9). 654–661. 3 indexed citations
7.
Wattanapanitch, Methichit, Yaowalak U‐pratya, Nuttha Klincumhom, et al.. (2016). Generation of induced pluripotent stem cells as a potential source of hematopoietic stem cells for transplant in PNH patients. Annals of Hematology. 95(10). 1617–1625. 8 indexed citations
8.
Jiratchariyakul, Weena, et al.. (2013). Antiproliferative Effect and the Isolated Compounds ofPouzolzia indica. Evidence-based Complementary and Alternative Medicine. 2013. 1–8. 3 indexed citations
9.
Supokawej, Aungkura, et al.. (2013). Cardiogenic and Myogenic Gene Expression in Mesenchymal Stem Cells After 5-Azacytidine Treatment. SHILAP Revista de lepidopterología. 30(2). 115–121. 24 indexed citations
10.
U‐pratya, Yaowalak, et al.. (2013). Cardiomyocyte differentiation of perinatally-derived mesenchymal stem cells. Molecular Medicine Reports. 7(5). 1465–1469. 23 indexed citations
11.
Wanachiwanawin, Wanchai, et al.. (2012). Mechanism of paroxysmal nocturnal hemoglobinuria clonal dominance. Hematology/Oncology and Stem Cell Therapy. 5(3). 138–145. 6 indexed citations
12.
U‐pratya, Yaowalak. (2012). Antiproliferative activity of Erycibe elliptilimba against human leukemic cancer cell lines. Journal of Medicinal Plants Research. 6(13). 1 indexed citations
13.
Kheolamai, Pakpoom, Yaowalak U‐pratya, Aungkura Supokawej, et al.. (2011). In vitro vessel-forming capacity of endothelial progenitor cells in high glucose conditions. Annals of Hematology. 91(3). 311–320. 21 indexed citations
14.
15.
U‐pratya, Yaowalak, et al.. (2010). Immunosuppressive effects of Cucurbitacin B on human peripheral blood lymphocytes.. Journal of Medicinal Plants Research. 4(22). 2340–2347. 3 indexed citations
16.
Kheolamai, Pakpoom, et al.. (2010). Comparison of endothelial progenitor cell function in type 2 diabetes with good and poor glycemic control. BMC Endocrine Disorders. 10(1). 5–5. 43 indexed citations
17.
Issaragrisil, Surapol, et al.. (2009). Hematopoietic progenitor cells in the blood and bone marrow in various hematologic disorders. Stem Cells. 16(S2). 123–128. 5 indexed citations
18.
U‐pratya, Yaowalak, Weena Jiratchariyakul, & Tanawan Kummalue. (2008). Anti-proliferative effects of Pouzolzia indica on acute promyelocytic cell lines: NB4 and HT93A. 亚洲传统医药. 3(4). 124–133. 4 indexed citations
19.
Turbpaiboon, Chairat, Thawornchai Limjindaporn, Wiyada Wongwiwat, et al.. (2005). Impaired interaction of α‐haemoglobin‐stabilising protein with α‐globin termination mutant in a yeast two‐hybrid system. British Journal of Haematology. 132(3). 370–373. 32 indexed citations
20.
U‐pratya, Yaowalak, et al.. (2003). Collection and processing of umbilical cord blood for cryopreservation.. PubMed. 86(11). 1055–62. 2 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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