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Montip Tiensuwan

Researcher at Mahidol University

Publications -  57
Citations -  658

Montip Tiensuwan is an academic researcher from Mahidol University. The author has contributed to research in topics: Drug resistance & Estimator. The author has an hindex of 14, co-authored 57 publications receiving 599 citations.

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Journal ArticleDOI

Serotonin stimulates ovarian maturation and spawning in the black tiger shrimp Penaeus monodon

TL;DR: A significant role of 5HT, possibly directly on the ovary and oviduct, on the reproductive function of female P. monodon is suggested.
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Interobserver agreement in the interpretation of single-field digital fundus images for diabetic retinopathy screening

TL;DR: Without additional training, retina specialists may be the most reliable personnel to interpret single-field digital fundus images for diabetic retinopathy screening, and new standard photographs for single- fielddigital fundus image interpretation may be required to improve interobserver reliability.
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Repeatability of an automated Landolt C test, compared with the early treatment of diabetic retinopathy study (ETDRS) chart testing.

TL;DR: The automated testing system's repeatability, which is comparable to the ETDRS chart, supports its role as an alternative tool for measuring outcome in new clinical research and its ability to practically generate visual acuity threshold curves may also be useful in future clinical research studies.
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Prevalence of asymptomatic Plasmodium infections with sub-microscopic parasite densities in the northwestern border of Thailand: a potential threat to malaria elimination.

TL;DR: The findings provide the true disease burden and risk factors in this region and prove LAMP proves to be a sensitive and field-deployable assay suitable for national malaria control screening campaigns.
Journal Article

Screening for diabetic retinopathy in rural area using single-field, digital fundus images.

TL;DR: The image capture of the nonmydriatic digital fundus camera is suitable for screening of diabetic retinopathy and single-fielddigital fundus images are potentially acceptable tools for the screening.