Katrin Kuhnt

1.0k total citations
23 papers, 818 citations indexed

About

Katrin Kuhnt is a scholar working on Nutrition and Dietetics, Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Katrin Kuhnt has authored 23 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nutrition and Dietetics, 7 papers in Biochemistry and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Katrin Kuhnt's work include Fatty Acid Research and Health (19 papers), Lipid metabolism and biosynthesis (5 papers) and Cholesterol and Lipid Metabolism (4 papers). Katrin Kuhnt is often cited by papers focused on Fatty Acid Research and Health (19 papers), Lipid metabolism and biosynthesis (5 papers) and Cholesterol and Lipid Metabolism (4 papers). Katrin Kuhnt collaborates with scholars based in Germany, United States and Austria. Katrin Kuhnt's co-authors include Gerhard Jahreis, Claudia Strobel, Jana Kraft, Christian Degen, Anke Jaudszus, Michael Kiehntopf, Andreas Wagner, E Schleußner, Samar Basu and Maria Pfeuffer and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Nutrition and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Katrin Kuhnt

22 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katrin Kuhnt Germany 15 502 181 140 133 120 23 818
K. Shane Broughton United States 14 711 1.4× 214 1.2× 247 1.8× 244 1.8× 84 0.7× 26 1.2k
Daniela Kuellenberg de Gaudry Germany 9 330 0.7× 254 1.4× 54 0.4× 41 0.3× 132 1.1× 15 812
Dennis T. Gordon United States 18 521 1.0× 292 1.6× 59 0.4× 135 1.0× 63 0.5× 37 1.0k
Peter W. Parodi Australia 13 581 1.2× 167 0.9× 170 1.2× 216 1.6× 128 1.1× 19 960
Y. K. GOH Canada 14 333 0.7× 147 0.8× 76 0.5× 198 1.5× 41 0.3× 31 709
Bruce E. McDonald Canada 15 338 0.7× 128 0.7× 97 0.7× 151 1.1× 97 0.8× 28 704
Hui Gyu Park United States 17 456 0.9× 344 1.9× 219 1.6× 60 0.5× 20 0.2× 45 894
Nurit Argov-Argaman Israel 18 505 1.0× 155 0.9× 153 1.1× 116 0.9× 85 0.7× 51 957
Hirotada Tsujii Japan 17 128 0.3× 188 1.0× 65 0.5× 186 1.4× 381 3.2× 74 907
Cynthia Tyburczy United States 13 412 0.8× 164 0.9× 205 1.5× 99 0.7× 16 0.1× 16 726

Countries citing papers authored by Katrin Kuhnt

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Kuhnt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katrin Kuhnt

This figure shows the co-authorship network connecting the top 25 collaborators of Katrin Kuhnt. A scholar is included among the top collaborators of Katrin Kuhnt 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 Katrin Kuhnt. Katrin Kuhnt 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.
Kuhnt, Katrin, et al.. (2016). Consumption of echium oil increases EPA and DPA in blood fractions more efficiently compared to linseed oil in humans. Lipids in Health and Disease. 15(1). 32–32. 32 indexed citations
2.
Schlörmann, Wiebke, et al.. (2015). Foetal cord blood contains higher portions of n-3 and n-6 long-chain PUFA but lower portions oftransC18:1 isomers than maternal blood. Food & Nutrition Research. 59(1). 29348–29348. 12 indexed citations
3.
Kuhnt, Katrin, Christian Degen, & Gerhard Jahreis. (2015). Evaluation of the Impact of RuminantTransFatty Acids on Human Health: Important Aspects to Consider. Critical Reviews in Food Science and Nutrition. 56(12). 1964–1980. 48 indexed citations
5.
Jaudszus, Anke, et al.. (2014). trans Palmitoleic acid arises endogenously from dietary vaccenic acid. American Journal of Clinical Nutrition. 99(3). 431–435. 40 indexed citations
6.
Kuhnt, Katrin, et al.. (2013). Cheek cell fatty acids reflect n-3 PUFA in blood fractions during linseed oil supplementation: a controlled human intervention study. Lipids in Health and Disease. 12(1). 173–173. 10 indexed citations
7.
Fardin‐Kia, Ali Reza, Pierluigi Delmonte, John K. G. Kramer, et al.. (2013). Separation of the Fatty Acids in Menhaden Oil as Methyl Esters with a Highly Polar Ionic Liquid Gas Chromatographic Column and Identification by Time of Flight Mass spectrometry. Lipids. 48(12). 1279–1295. 29 indexed citations
8.
Strobel, Claudia, Gerhard Jahreis, & Katrin Kuhnt. (2012). Survey of n- 3 and n-6 polyunsaturated fatty acids in fish and fish products. Lipids in Health and Disease. 11(1). 144–144. 175 indexed citations
9.
Kuhnt, Katrin, Christian Degen, Anke Jaudszus, & Gerhard Jahreis. (2011). Searching for health beneficial n‐3 and n‐6 fatty acids in plant seeds. European Journal of Lipid Science and Technology. 114(2). 153–160. 47 indexed citations
10.
Jaudszus, Anke, et al.. (2011). Fatty acid distribution of cord and maternal blood in human pregnancy: special focus on individual trans fatty acids and conjugated linoleic acids. Lipids in Health and Disease. 10(1). 247–247. 43 indexed citations
11.
Kuhnt, Katrin, et al.. (2011). Trans fatty acid isomers and the trans‐9/trans‐11 index in fat containing foods. European Journal of Lipid Science and Technology. 113(10). 1281–1292. 87 indexed citations
12.
Degen, Christian, Alfred Lochner, Sylvia Keller, et al.. (2011). Influence of in vitro supplementation with lipids from conventional and Alpine milk on fatty acid distribution and cell growth of HT-29 cells. Lipids in Health and Disease. 10(1). 131–131. 16 indexed citations
13.
Knoll, Nikola, et al.. (2011). High content of long-chain n-3 polyunsaturated fatty acids in red blood cells of Kenyan Maasai despite low dietary intake. Lipids in Health and Disease. 10(1). 141–141. 9 indexed citations
14.
Kuhnt, Katrin, Christian Degen, & Gerhard Jahreis. (2009). 2-Propanol in the mobile phase reduces the time of analysis of CLA isomers by silver ion-HPLC. Journal of Chromatography B. 878(1). 88–91. 8 indexed citations
15.
Kuhnt, Katrin, et al.. (2009). Gene expression after dietary intervention with trans fatty acids (trans‐11/trans‐12 18:1) in humans. European Journal of Lipid Science and Technology. 111(5). 442–450. 6 indexed citations
16.
Kuhnt, Katrin & Gerhard Jahreis. (2007). Trans fatty acids in human nutrition. Żywienie Człowieka i Metabolizm. 34. 1 indexed citations
17.
18.
Kuhnt, Katrin, et al.. (2006). The Dietary supplementation with t-11 and 1-12 18:1 fatty acids in humans and oxidative stress.. American Journal of Clinical Nutrition. 84. 7 indexed citations
19.
Kuhnt, Katrin, et al.. (2006). Trans-11–18: 1 is effectively δ9-desaturated compared withTrans-12–18: 1 in humans. British Journal Of Nutrition. 95(4). 752–761. 79 indexed citations
20.
Kuhnt, Katrin, Andreas Wagner, Jana Kraft, Samar Basu, & Gerhard Jahreis. (2006). Dietary supplementation with 11trans- and 12trans-18:1 and oxidative stress in humans. American Journal of Clinical Nutrition. 84(5). 981–988. 46 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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