Dr. Anusorn Cherdthong is an Associate Professor of Ruminant Nutrition at Khon Kaen University (KKU). He also serves as a leader of the Native Beef and Buffalo Research Group at KKU, focusing on increasing production efficiency and meat quality. His group’s overall research goal is to enhance nutrient consumption efficiency to boost animal output while minimizing the environmental impact of livestock operations. Dr. Cherdthong has served as a member of the editorial boards for Scientific Reports and Animal Bioscience, as Editor for Discover Animals, and as Associate Editor for CABI Agriculture and Bioscience, Frontiers in Animal Science, and Frontiers in Microbiology. Additionally, he has reviewed for various journals. Stanford University has recognized him as one of the World’s Top 2% Scientists from 2021 to the present.
Research Keywords & Expertise
FEED
Ruminant Nutrition
Animal Production
meat science
tropical feeds
Fingerprints
73%
FEED
5%
Animal Production
5%
Ruminant Nutrition
Short Biography
Dr. Anusorn Cherdthong is an Associate Professor of Ruminant Nutrition at Khon Kaen University (KKU). He also serves as a leader of the Native Beef and Buffalo Research Group at KKU, focusing on increasing production efficiency and meat quality. His group’s overall research goal is to enhance nutrient consumption efficiency to boost animal output while minimizing the environmental impact of livestock operations. Dr. Cherdthong has served as a member of the editorial boards for Scientific Reports and Animal Bioscience, as Editor for Discover Animals, and as Associate Editor for CABI Agriculture and Bioscience, Frontiers in Animal Science, and Frontiers in Microbiology. Additionally, he has reviewed for various journals. Stanford University has recognized him as one of the World’s Top 2% Scientists from 2021 to the present.
Honors and Awards
World's Top 2% Scientist in 2022
The ranking is based on the bibliometric information (citation metrics) contained in the Scopus database and classifies scientists into 22 scientific fields and 176 subfields. The full list is available at
https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/4?fbclid=IwAR0u4xhKMuKGIsi_prZLxOIOaMPzV-LNCmo
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