Kampanat Phesatcha

43 total papers · 828 total citations
42 papers, 638 citations indexed

About

Kampanat Phesatcha is a scholar working on Agronomy and Crop Science, Genetics and Plant Science. According to data from OpenAlex, Kampanat Phesatcha has authored 42 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Agronomy and Crop Science, 16 papers in Genetics and 15 papers in Plant Science. Recurrent topics in Kampanat Phesatcha's work include Ruminant Nutrition and Digestive Physiology (37 papers), Genetic and phenotypic traits in livestock (14 papers) and Reproductive Physiology in Livestock (10 papers). Kampanat Phesatcha is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (37 papers), Genetic and phenotypic traits in livestock (14 papers) and Reproductive Physiology in Livestock (10 papers). Kampanat Phesatcha collaborates with scholars based in Thailand, Ireland and Cambodia. Kampanat Phesatcha's co-authors include Metha Wanapat, Sungchhang Kang, Anusorn Cherdthong, Thiwakorn Ampapon, Metha Wanapat, Suban Foiklang, Seungha Kang, Maharach Matra, Pongsatorn Gunun and Nirawan Gunun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Animal Feed Science and Technology and Livestock Science.

In The Last Decade

Kampanat Phesatcha

41 papers receiving 619 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kampanat Phesatcha 477 182 101 94 94 42 638
A. O. Akinsoyinu 255 0.5× 171 0.9× 130 1.3× 81 0.9× 96 1.0× 58 571
Kirsten Weiß 411 0.9× 190 1.0× 131 1.3× 60 0.6× 73 0.8× 43 644
Raul Franzolin 465 1.0× 102 0.6× 114 1.1× 62 0.7× 135 1.4× 55 608
Yosra A. Soltan 512 1.1× 240 1.3× 224 2.2× 80 0.9× 69 0.7× 45 778
Dorinha Miriam Silber Schmidt Vitti 423 0.9× 175 1.0× 254 2.5× 101 1.1× 97 1.0× 81 766
H. Gado 537 1.1× 179 1.0× 218 2.2× 66 0.7× 95 1.0× 42 697
T. A. Thomas 488 1.0× 229 1.3× 98 1.0× 75 0.8× 72 0.8× 21 685
Pin Chanjula 572 1.2× 237 1.3× 137 1.4× 87 0.9× 146 1.6× 60 756
Marcia Franco 446 0.9× 141 0.8× 122 1.2× 81 0.9× 127 1.4× 74 637
Svenja Marquardt 399 0.8× 104 0.6× 145 1.4× 78 0.8× 106 1.1× 38 578

Countries citing papers authored by Kampanat Phesatcha

Since Specialization
Citations

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

Fields of papers citing papers by Kampanat Phesatcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kampanat Phesatcha

This figure shows the co-authorship network connecting the top 25 collaborators of Kampanat Phesatcha. A scholar is included among the top collaborators of Kampanat Phesatcha 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 Kampanat Phesatcha. Kampanat Phesatcha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026