Chung‐Ja C. Jackson

1.4k total citations
21 papers, 1.1k citations indexed

About

Chung‐Ja C. Jackson is a scholar working on Pathology and Forensic Medicine, Plant Science and Molecular Biology. According to data from OpenAlex, Chung‐Ja C. Jackson has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 9 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Chung‐Ja C. Jackson's work include Phytoestrogen effects and research (12 papers), Soybean genetics and cultivation (5 papers) and Fatty Acid Research and Health (4 papers). Chung‐Ja C. Jackson is often cited by papers focused on Phytoestrogen effects and research (12 papers), Soybean genetics and cultivation (5 papers) and Fatty Acid Research and Health (4 papers). Chung‐Ja C. Jackson collaborates with scholars based in Canada, United Kingdom and Italy. Chung‐Ja C. Jackson's co-authors include Cyril W.C. Kendall, Edward Vidgen, David J.A. Jenkins, Tina Parker, Dorothea Faulkner, Philip W. Connelly, Vaino Poysa, Istvan Rajcan, Robert G. Josse and H.P. Vasantha Rupasinghe and has published in prestigious journals such as American Journal of Clinical Nutrition, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Chung‐Ja C. Jackson

21 papers receiving 972 citations

Peers

Chung‐Ja C. Jackson
Eric T. Gugger United States
Dale S. Ryan United States
J.A. Lapré Netherlands
H.T. de Vries Netherlands
Verena Beck Austria
Chung‐Ja C. Jackson
Citations per year, relative to Chung‐Ja C. Jackson Chung‐Ja C. Jackson (= 1×) peers Sachie Ikegami

Countries citing papers authored by Chung‐Ja C. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Ja C. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Ja C. Jackson. 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 Chung‐Ja C. Jackson. The network helps show where Chung‐Ja C. Jackson may publish in the future.

Co-authorship network of co-authors of Chung‐Ja C. Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Ja C. Jackson. A scholar is included among the top collaborators of Chung‐Ja C. Jackson 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 Chung‐Ja C. Jackson. Chung‐Ja C. Jackson 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.
Wong, Julia MW, Cyril W.C. Kendall, Augustine Marchie, et al.. (2012). Equol status and blood lipid profile in hyperlipidemia after consumption of diets containing soy foods. American Journal of Clinical Nutrition. 95(3). 564–571. 36 indexed citations
2.
Proctor, John, et al.. (2011). Morphological and Ginsenoside Differences among North American Ginseng Leaves. Journal of Ginseng Research. 35(2). 155–161. 7 indexed citations
3.
Jenkins, David J.A., Korbua Srichaikul, Julia MW Wong, et al.. (2010). Supplemental Barley Protein and Casein Similarly Affect Serum Lipids in Hypercholesterolemic Women and Men. Journal of Nutrition. 140(9). 1633–1637. 13 indexed citations
4.
Poysa, Vaino, et al.. (2005). Mapping QTL for Individual and Total Isoflavone Content in Soybean Seeds. Crop Science. 45(6). 2454–2464. 98 indexed citations
5.
Poysa, Vaino, et al.. (2005). Agronomic Performance of Recombinant Inbred Line Populations Segregating for Isoflavone Content in Soybean Seeds. Crop Science. 45(6). 2203–2211. 33 indexed citations
6.
Jackson, Chung‐Ja C., et al.. (2004). ASSESSMENT OF ONTARIO-GROWN GINSENG (PANAX QUINQUEFOLIUS L.) FOR NUTRITIONAL QUALITY AND FOOD SAFETY. Acta Horticulturae. 115–121. 5 indexed citations
7.
Rupasinghe, H.P. Vasantha, Chung‐Ja C. Jackson, Vaino Poysa, & Junei Kinjo. (2004). A RAPID METHOD TO ANALYZE SAPONIN PRECURSORS IN SOYBEAN (GLYCINE MAX (L.) MERRILL). Acta Horticulturae. 139–143. 3 indexed citations
8.
Proctor, John, et al.. (2003). Rust-spotted North American Ginseng Roots: Phenolic, Antioxidant, Ginsenoside, and Mineral Nutrient Content. HortScience. 38(2). 179–182. 18 indexed citations
9.
Rupasinghe, H.P. Vasantha, et al.. (2003). Soyasapogenol A and B Distribution in Soybean (Glycine max L. Merr.) in Relation to Seed Physiology, Genetic Variability, and Growing Location. Journal of Agricultural and Food Chemistry. 51(20). 5888–5894. 109 indexed citations
10.
Jenkins, David, Cyril W.C. Kendall, Mario D’Costa, et al.. (2003). Soy consumption and phytoestrogens: effect on serum prostate specific antigen when blood lipids and oxidized low-density lipoprotein are reduced in hyperlipidemic men.. PubMed. 169(2). 507–11. 40 indexed citations
11.
Jenkins, David J.A., Cyril W.C. Kendall, Philip W. Connelly, et al.. (2002). Effects of high- and low-isoflavone (phytoestrogen) soy foods on inflammatory biomarkers and proinflammatory cytokines in middle-aged men and women. Metabolism. 51(7). 919–924. 132 indexed citations
12.
Jenkins, David J.A., Cyril W.C. Kendall, Chung‐Ja C. Jackson, et al.. (2002). Effects of high- and low-isoflavone soyfoods on blood lipids, oxidized LDL, homocysteine, and blood pressure in hyperlipidemic men and women. American Journal of Clinical Nutrition. 76(2). 365–372. 239 indexed citations
13.
Vyn, Tony J., Xinhua Yin, Tom Bruulsema, et al.. (2002). Potassium Fertilization Effects on Isoflavone Concentrations in Soybean [Glycine max (L.) Merr.]. Journal of Agricultural and Food Chemistry. 50(12). 3501–3506. 94 indexed citations
14.
Jenkins, David J.A., Cyril W.C. Kendall, Edward Vidgen, et al.. (2000). Effect of soy-based breakfast cereal on blood lipids and oxidized low-density lipoprotein. Metabolism. 49(11). 1496–1500. 64 indexed citations
15.
Jenkins, David J.A., Cyril W.C. Kendall, Marcella Garsetti, et al.. (2000). Effect of soy protein foods on low-density lipoprotein oxidation and ex vivo sex hormone receptor activity—A controlled crossover trial. Metabolism. 49(4). 537–543. 65 indexed citations
16.
Jackson, Chung‐Ja C., et al.. (1999). Influence of Variety, Location, and Growth Year on Phytoestrogen Levels in Ontario Soybeans and Processed Soy Food Products. Journal of Medicinal Food. 2(3-4). 191–191. 1 indexed citations
17.
Jackson, Chung‐Ja C., et al.. (1987). Synthesis, isolation, and characterization of conjugates of ovalbumin with monomethoxypolyethylene glycol using cyanuric chloride as the coupling agent. Analytical Biochemistry. 165(1). 114–127. 73 indexed citations
18.
Jackson, Chung‐Ja C., John F. Templeton, Mark L. J. Reimer, & John B. Westmore. (1985). Mass spectra of 17ξ‐hydroxy‐5ξ‐androstane C(3) ketone and C(3ξ) alcohol isomers. Organic Mass Spectrometry. 20(1). 10–13. 2 indexed citations
19.
Templeton, John F., Chung‐Ja C. Jackson, & John Steele. (1984). Methandrostenolone: Metabolism in the rabbit. European Journal of Drug Metabolism and Pharmacokinetics. 9(3). 229–233. 5 indexed citations
20.
Templeton, John F. & Chung‐Ja C. Jackson. (1983). Metabolism of 17α-methyltestosterone in the rabbit: C-6 and C-16 hydroxylated metabolites. Steroids. 42(1). 115–121. 10 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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