C. Wachirapakorn

1.1k total citations
53 papers, 910 citations indexed

About

C. Wachirapakorn is a scholar working on Agronomy and Crop Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, C. Wachirapakorn has authored 53 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Agronomy and Crop Science, 14 papers in Plant Science and 10 papers in Nutrition and Dietetics. Recurrent topics in C. Wachirapakorn's work include Ruminant Nutrition and Digestive Physiology (37 papers), Reproductive Physiology in Livestock (11 papers) and Cassava research and cyanide (11 papers). C. Wachirapakorn is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (37 papers), Reproductive Physiology in Livestock (11 papers) and Cassava research and cyanide (11 papers). C. Wachirapakorn collaborates with scholars based in Thailand, United Kingdom and Netherlands. C. Wachirapakorn's co-authors include Metha Wanapat, Anusorn Cherdthong, Peter Rowlinson, Pin Chanjula, Sadudee Wanapat, P. Pakdee, M.A. Wattiaux, Sittisak Khampa, C. Yuangklang and Suneerat Aiumlamai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Animal Feed Science and Technology and animal.

In The Last Decade

C. Wachirapakorn

51 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Wachirapakorn Thailand 19 727 238 180 150 132 53 910
Sungchhang Kang Thailand 20 860 1.2× 341 1.4× 140 0.8× 166 1.1× 184 1.4× 54 1.1k
Pongsatorn Gunun Thailand 19 681 0.9× 235 1.0× 145 0.8× 103 0.7× 143 1.1× 55 823
Sineenart Polyorach Thailand 15 605 0.8× 291 1.2× 124 0.7× 127 0.8× 104 0.8× 47 800
Pin Chanjula Thailand 17 574 0.8× 237 1.0× 146 0.8× 138 0.9× 87 0.7× 60 759
Ives Cláudio da Silva Bueno Brazil 20 778 1.1× 189 0.8× 119 0.7× 292 1.9× 200 1.5× 77 1.1k
Kampanat Phesatcha Thailand 17 481 0.7× 183 0.8× 94 0.5× 102 0.7× 96 0.7× 42 646
Marcia Franco Finland 15 458 0.6× 143 0.6× 129 0.7× 123 0.8× 83 0.6× 74 652
Karina Guimarães Ribeiro Brazil 16 626 0.9× 321 1.3× 82 0.5× 131 0.9× 201 1.5× 100 868
M. L. Tejido Spain 20 854 1.2× 201 0.8× 218 1.2× 240 1.6× 56 0.4× 44 1.1k
Camila Celeste Brandão Ferreira Ítavo Brazil 16 785 1.1× 211 0.9× 287 1.6× 375 2.5× 197 1.5× 169 1.1k

Countries citing papers authored by C. Wachirapakorn

Since Specialization
Citations

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

Fields of papers citing papers by C. Wachirapakorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Wachirapakorn

This figure shows the co-authorship network connecting the top 25 collaborators of C. Wachirapakorn. A scholar is included among the top collaborators of C. Wachirapakorn 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 C. Wachirapakorn. C. Wachirapakorn 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.
2.
Wachirapakorn, C., et al.. (2021). Dietary Modified Cassava Chip and Corn Seed: Effect on Growth Performance, Rumen Production, and Blood glucose and Insulin in Early Fattening Beef Bulls. Walailak Journal of Science and Technology (WJST). 18(7). 5 indexed citations
5.
Wachirapakorn, C., et al.. (2017). Effects of induced subacute ruminal acidosis and laminitis on lipopolysaccharide binding protein, cortisol and progesterone levels in dairy heifers. The Thai Journal of Veterinary Medicine. 47(4). 501–511. 3 indexed citations
6.
Schonewille, J.T., H. Everts, C. Wachirapakorn, et al.. (2015). Effect of whole cottonseed v. sunflower seed on the fatty acid profile of subcutaneous fat, longissimus dorsi and blood of Thai Native and Holstein bulls. animal. 9(12). 2072–2080. 3 indexed citations
7.
Wachirapakorn, C., et al.. (2013). Effect of amino acids supplementation in total mixed ration used cassava pulp on feed intake, digestibility, milk yield and milk composition in lactating dairy cows.. 8(2). 53–69. 2 indexed citations
8.
Aiumlamai, Suneerat, et al.. (2013). Effects of crude protein in feed and serum urea nitrogen on reproductive performance and milk production in dairy cows in small holder dairy farms.. 23(1). 87–97. 2 indexed citations
9.
Schonewille, J.T., et al.. (2012). Starch source in high concentrate rations does not affect rumen pH, histamine and lipopolysaccharide concentrations in dairy cows. Livestock Science. 150(1-3). 135–142. 18 indexed citations
10.
Yuangklang, C., et al.. (2011). Protein enrichment of cassava pulp fermentation by Saccharomyces cerevisiae.. Journal of Animal and Veterinary Advances. 10(18). 2434–2440. 15 indexed citations
11.
Wachirapakorn, C., et al.. (2011). Effect of sulfur-containing compounds on methane production by in vitro gas production.. 613–619. 1 indexed citations
12.
Wachirapakorn, C., et al.. (2011). Effects of levels of ensiled pineapple waste and pangola hay fed as roughage sources on feed intake, nutrient digestibility and ruminal fermentation of Southern Thai native cattle. SHILAP Revista de lepidopterología. 24 indexed citations
13.
Schonewille, J.T., et al.. (2011). The effects of high levels of rumen degradable protein on rumen pH and histamine concentrations in dairy cows. Journal of Animal Physiology and Animal Nutrition. 96(2). 206–213. 23 indexed citations
14.
15.
Cherdthong, Anusorn, Metha Wanapat, & C. Wachirapakorn. (2010). Effects of urea–calcium mixture in concentrate containing high cassava chip on feed intake, rumen fermentation and performance of lactating dairy cows fed on rice straw. Livestock Science. 136(2-3). 76–84. 47 indexed citations
16.
Wachirapakorn, C., et al.. (2007). The influence of bovine neutrophils on in vitro phagocytosis and killing of Staphylococcus aureus in heifers supplemented with selenium and vitamin E. SHILAP Revista de lepidopterología. 6 indexed citations
17.
Yuangklang, C., Metha Wanapat, & C. Wachirapakorn. (2005). Effects of Pelleted Sugarcane Tops on Voluntary Feed Intake, Digestibility and Rumen Fermentation in Beef Cattle. Asian-Australasian Journal of Animal Sciences. 18(1). 22–26. 7 indexed citations
18.
Wachirapakorn, C., et al.. (1996). Magnesium metabolism in sheep subjected to sodium or water loading. Proceedings of the New Zealand Society of Animal Production. 56. 133–137. 3 indexed citations
19.
Wachirapakorn, C., et al.. (1996). Effects of potassium on potential difference across the rumen wall and magnesium metabolism in sheep. Proceedings of the New Zealand Society of Animal Production. 56. 138–142. 1 indexed citations
20.
Chanthai, Saksit, Metha Wanapat, & C. Wachirapakorn. (1987). Rumen ammonia-N and volatile fatty acid concentrations in cattle and buffalo given rice straw based diets. 6 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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