Kim W. Daigle

29 total papers · 1.4k total citations
28 papers, 1.1k citations indexed

About

Kim W. Daigle is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Kim W. Daigle has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 10 papers in Nutrition and Dietetics and 10 papers in Plant Science. Recurrent topics in Kim W. Daigle's work include Food composition and properties (9 papers), Proteins in Food Systems (6 papers) and Phytase and its Applications (4 papers). Kim W. Daigle is often cited by papers focused on Food composition and properties (9 papers), Proteins in Food Systems (6 papers) and Phytase and its Applications (4 papers). Kim W. Daigle collaborates with scholars based in United States, Ghana and Pakistan. Kim W. Daigle's co-authors include Frederick F. Shih, Elaine T. Champagne, Stephen M. Boué, Kenneth C. Ehrlich, Ming‐Hsuan Chen, Mark L. Heiman, Heping Cao, Betty Y. Shih, Joan M. King and An Hong and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Kim W. Daigle

28 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Kim W. Daigle 496 438 384 190 118 28 1.1k
Li‐Hua Pan 819 1.7× 332 0.8× 317 0.8× 228 1.2× 92 0.8× 34 1.4k
Caihua Jia 672 1.4× 666 1.5× 247 0.6× 119 0.6× 91 0.8× 54 1.1k
Ji Kang 522 1.1× 426 1.0× 447 1.2× 172 0.9× 139 1.2× 40 1.1k
Aimei Liao 452 0.9× 311 0.7× 365 1.0× 421 2.2× 105 0.9× 60 1.3k
Kamolwan Jangchud 796 1.6× 577 1.3× 422 1.1× 212 1.1× 91 0.8× 49 1.3k
Sajad Ahmad Sofi 570 1.1× 356 0.8× 568 1.5× 181 1.0× 93 0.8× 34 1.2k
Pasquale M. Falcone 725 1.5× 469 1.1× 313 0.8× 115 0.6× 219 1.9× 46 1.3k
Pinky Raigond 651 1.3× 631 1.4× 634 1.7× 220 1.2× 77 0.7× 51 1.5k
A. Redondo 534 1.1× 582 1.3× 526 1.4× 208 1.1× 67 0.6× 42 1.3k
Frederick F. Shih 609 1.2× 407 0.9× 264 0.7× 219 1.2× 211 1.8× 35 1.1k

Countries citing papers authored by Kim W. Daigle

Since Specialization
Citations

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

Fields of papers citing papers by Kim W. Daigle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim W. Daigle. 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 Kim W. Daigle. The network helps show where Kim W. Daigle may publish in the future.

Co-authorship network of co-authors of Kim W. Daigle

This figure shows the co-authorship network connecting the top 25 collaborators of Kim W. Daigle. A scholar is included among the top collaborators of Kim W. Daigle 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 Kim W. Daigle. Kim W. Daigle 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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