Thammarat Kaewmanee

33 total papers · 1.1k total citations
25 papers, 902 citations indexed

About

Thammarat Kaewmanee is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Thammarat Kaewmanee has authored 25 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 12 papers in Molecular Biology and 10 papers in Animal Science and Zoology. Recurrent topics in Thammarat Kaewmanee's work include Protein Hydrolysis and Bioactive Peptides (10 papers), Meat and Animal Product Quality (10 papers) and Proteins in Food Systems (6 papers). Thammarat Kaewmanee is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (10 papers), Meat and Animal Product Quality (10 papers) and Proteins in Food Systems (6 papers). Thammarat Kaewmanee collaborates with scholars based in Thailand, Japan and United States. Thammarat Kaewmanee's co-authors include Soottawat Benjakul, Wonnop Visessanguan, Hideki Kishimura, Giovanna Speranza, Maria Elisabetta Cosulich, Carlo F. Morelli, Silvia Lanteri, Sasitorn Chusri, Palanivel Ganesan and Badlishah Sham Baharin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Nutrients.

In The Last Decade

Thammarat Kaewmanee

23 papers receiving 871 citations

Author Peers

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

Author						Papers	Cites
Thammarat Kaewmanee	490	356	269	170	141	25	902
Tran Hong Quan	515 1.1×	257 0.7×	329 1.2×	112 0.7×	120 0.9×	24	897
Xujian Qiu	332 0.7×	311 0.9×	207 0.8×	104 0.6×	79 0.6×	26	703
Venkateshwarlu Gudipati	483 1.0×	319 0.9×	305 1.1×	210 1.2×	197 1.4×	32	979
Jianlou Mu	409 0.8×	191 0.5×	233 0.9×	107 0.6×	185 1.3×	45	932
Jiabao Zheng	611 1.2×	253 0.7×	212 0.8×	73 0.4×	307 2.2×	25	1.0k
Qilin Huang	517 1.1×	312 0.9×	132 0.5×	101 0.6×	320 2.3×	28	867
Haili Niu	416 0.8×	299 0.8×	135 0.5×	87 0.5×	252 1.8×	29	971
Fei Lyu	473 1.0×	379 1.1×	185 0.7×	64 0.4×	130 0.9×	21	782
Ali Muhammed Moula Ali	246 0.5×	246 0.7×	380 1.4×	307 1.8×	68 0.5×	34	845
Fei Lyu	408 0.8×	180 0.5×	166 0.6×	80 0.5×	214 1.5×	50	983

Countries citing papers authored by Thammarat Kaewmanee

Since Specialization

Citations

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

Fields of papers citing papers by Thammarat Kaewmanee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thammarat Kaewmanee

This figure shows the co-authorship network connecting the top 25 collaborators of Thammarat Kaewmanee. A scholar is included among the top collaborators of Thammarat Kaewmanee 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 Thammarat Kaewmanee. Thammarat Kaewmanee 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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