J. K. Daun

2.1k total citations
66 papers, 1.6k citations indexed

About

J. K. Daun is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, J. K. Daun has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 28 papers in Plant Science and 18 papers in Organic Chemistry. Recurrent topics in J. K. Daun's work include Nitrogen and Sulfur Effects on Brassica (25 papers), Edible Oils Quality and Analysis (15 papers) and Genomics, phytochemicals, and oxidative stress (9 papers). J. K. Daun is often cited by papers focused on Nitrogen and Sulfur Effects on Brassica (25 papers), Edible Oils Quality and Analysis (15 papers) and Genomics, phytochemicals, and oxidative stress (9 papers). J. K. Daun collaborates with scholars based in Canada, United States and Japan. J. K. Daun's co-authors include Ning Wang, Ning Wang, Roman Przybylski, Véronique J. Barthet, Ning Wang, Linda Malcolmson, R. Scarth, Phil Williams, F. W. Hougen and R. Tkachuk and has published in prestigious journals such as Food Chemistry, Journal of the Science of Food and Agriculture and Journal of the American Oil Chemists Society.

In The Last Decade

J. K. Daun

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. K. Daun Canada 23 745 448 370 325 219 66 1.6k
Mei Yang China 22 380 0.5× 281 0.6× 226 0.6× 591 1.8× 277 1.3× 67 1.4k
Chiara Sanmartin Italy 23 452 0.6× 172 0.4× 304 0.8× 628 1.9× 208 0.9× 100 1.4k
Lingyun Yao China 23 345 0.5× 507 1.1× 300 0.8× 533 1.6× 205 0.9× 92 1.6k
Agnieszka Kita Poland 25 662 0.9× 281 0.6× 434 1.2× 1.3k 4.1× 402 1.8× 96 2.1k
Angela Zinnai Italy 21 426 0.6× 182 0.4× 265 0.7× 630 1.9× 307 1.4× 107 1.5k
Steven Nagy United States 31 1.2k 1.7× 557 1.2× 315 0.9× 909 2.8× 97 0.4× 85 2.8k
Małgorzata Tańska Poland 24 434 0.6× 216 0.5× 421 1.1× 698 2.1× 244 1.1× 117 1.6k
Alessandra Fratianni Italy 27 633 0.8× 432 1.0× 561 1.5× 749 2.3× 151 0.7× 51 2.0k
Miriana Durante Italy 30 556 0.7× 578 1.3× 312 0.8× 752 2.3× 382 1.7× 75 2.1k
K. Kaack Denmark 28 1.4k 1.9× 294 0.7× 420 1.1× 1.5k 4.6× 220 1.0× 78 2.7k

Countries citing papers authored by J. K. Daun

Since Specialization
Citations

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

Fields of papers citing papers by J. K. Daun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. K. Daun. 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 J. K. Daun. The network helps show where J. K. Daun may publish in the future.

Co-authorship network of co-authors of J. K. Daun

This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Daun. A scholar is included among the top collaborators of J. K. Daun 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 J. K. Daun. J. K. Daun 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.
Barthet, Véronique J., et al.. (2008). Evaluation of a colorimetric method for measuring the content of FFA in marine and vegetable oils. Food Chemistry. 111(4). 1064–1068. 34 indexed citations
2.
Barthet, Véronique J. & J. K. Daun. (2005). Effect of sprouting on the quality and composition of canola seed and oil. Journal of the American Oil Chemists Society. 82(7). 511–517. 6 indexed citations
3.
Wang, Ning & J. K. Daun. (2005). Effects of variety and crude protein content on nutrients and anti-nutrients in lentils (). Food Chemistry. 95(3). 493–502. 147 indexed citations
4.
Daun, J. K., et al.. (2005). Fat content of oilseeds used as foods is dependent on the method of determination. Journal of the American Oil Chemists Society. 82(10). 767–769. 2 indexed citations
5.
Ratnayake, W. M. N., J. K. Daun, & F. D. Gunstone. (2004). Chemical composition of canola and rapeseed oils.. 37–78. 22 indexed citations
6.
Daun, J. K., et al.. (2003). Structure, composition, and variety development of flaxseed.. 1–40. 82 indexed citations
7.
Daun, J. K. & Stephen J. Symons. (2000). How green is green? Sampling and perception in assessing green seeds and chlorophyll in canola. Journal of the American Oil Chemists Society. 77(11). 1209–1214. 11 indexed citations
8.
Malcolmson, Linda, Roman Przybylski, & J. K. Daun. (2000). Storage stability of milled flaxseed. Journal of the American Oil Chemists Society. 77(3). 235–238. 63 indexed citations
9.
Scarth, Rachael, et al.. (1994). Characterization of chlorophyll pigments in ripening canola seed (Brassica napus). Journal of the American Oil Chemists Society. 71(12). 1327–1331. 14 indexed citations
10.
Hu, Xiaojun, J. K. Daun, & R. Scarth. (1994). Proportions of C18∶1n−7 and C18∶1n−9 fatty acids in canola seedcoat surface and internal lipids. Journal of the American Oil Chemists Society. 71(2). 221–222. 10 indexed citations
11.
Mailer, Rodney J., J. K. Daun, & R. Scarth. (1993). Cultivar identification inBrassica napus L. by reversed‐phase high‐performance liquid chromatography of ethanol extracts. Journal of the American Oil Chemists Society. 70(9). 863–866. 4 indexed citations
12.
Cenkowski, Stefan, Digvir S. Jayas, & J. K. Daun. (1993). Potential of in‐field and low temperature drying for reducing chlorophyll contents in canola (Brassica napus L). Journal of the Science of Food and Agriculture. 63(4). 377–383. 8 indexed citations
13.
Clear, R. M., T. W. Nowicki, & J. K. Daun. (1989). Soybean seed discoloration byAlternariaspp. andFusariumspp., effects on quality and production of fusariotoxins. Canadian Journal of Plant Pathology. 11(3). 308–312. 16 indexed citations
14.
Daun, J. K., et al.. (1989). Determination of the total glucosinolate content in canola by reaction with thymol and sulfuric acid. Journal of the American Oil Chemists Society. 66(6). 788–791. 14 indexed citations
15.
Daun, J. K., et al.. (1987). Composition of the kernels of the faveleira nut (Cnidoscolus phyllacanthus). Journal of the American Oil Chemists Society. 64(6). 880–881. 4 indexed citations
16.
Daun, J. K.. (1986). Glucosinolate Analysis in Rapeseed and Canola-An Update. Journal of Japan Oil Chemists Society. 35(6). 426–434. 2 indexed citations
17.
Mills, J. T., et al.. (1984). STORABILITY OF FROST-DAMAGED CANOLA. Canadian Journal of Plant Science. 64(3). 529–536. 4 indexed citations
18.
Daun, J. K., et al.. (1983). Use of gas liquid chromatography for monitoring the fatty acid composition of canadian rapeseed. Journal of the American Oil Chemists Society. 60(10). 1751–1754. 35 indexed citations
19.
Daun, J. K., et al.. (1981). Comparison of methods for the analysis of phosphorus in canola oils. Journal of the American Oil Chemists Society. 58(10). 914–916. 5 indexed citations
20.
Daun, J. K., et al.. (1980). Letters to the editor. Journal of the American Oil Chemists Society. 57(1). 52–53. 1 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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