Ulla Kidmose

2.5k total citations
81 papers, 1.9k citations indexed

About

Ulla Kidmose is a scholar working on Nutrition and Dietetics, Food Science and Plant Science. According to data from OpenAlex, Ulla Kidmose has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Nutrition and Dietetics, 37 papers in Food Science and 25 papers in Plant Science. Recurrent topics in Ulla Kidmose's work include Biochemical Analysis and Sensing Techniques (23 papers), Sensory Analysis and Statistical Methods (19 papers) and Meat and Animal Product Quality (12 papers). Ulla Kidmose is often cited by papers focused on Biochemical Analysis and Sensing Techniques (23 papers), Sensory Analysis and Statistical Methods (19 papers) and Meat and Animal Product Quality (12 papers). Ulla Kidmose collaborates with scholars based in Denmark, United Kingdom and China. Ulla Kidmose's co-authors include Lars Porskjær Christensen, Helle Juel Martens, Merete Edelenbos, Derek V. Byrne, Line Ahm Mielby, Sidsel Jensen, Shakuntala H. Thilsted, Anette Kistrup Thybo, Marianne Hammershøj and Sanna Steenfeldt and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Dairy Science.

In The Last Decade

Ulla Kidmose

79 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulla Kidmose Denmark 27 756 614 592 343 279 81 1.9k
Isabella Endrizzi Italy 24 1.0k 1.4× 575 0.9× 511 0.9× 184 0.5× 175 0.6× 60 1.9k
Elisabetta Moneta Italy 25 660 0.9× 645 1.1× 364 0.6× 222 0.6× 180 0.6× 55 1.6k
Fiorella Sinesio Italy 26 735 1.0× 702 1.1× 393 0.7× 210 0.6× 148 0.5× 61 1.8k
Flavio Paoletti Italy 23 649 0.9× 571 0.9× 560 0.9× 159 0.5× 175 0.6× 60 1.6k
Henriëtte L. de Kock South Africa 24 1.1k 1.5× 568 0.9× 948 1.6× 149 0.4× 156 0.6× 83 2.2k
Luisa Torri Italy 34 1.6k 2.1× 610 1.0× 919 1.6× 293 0.9× 236 0.8× 109 3.0k
Heather E. Smyth Australia 27 1.4k 1.8× 742 1.2× 376 0.6× 340 1.0× 325 1.2× 121 2.9k
Przemysław Łukasz Kowalczewski Poland 33 1.5k 2.0× 1.0k 1.7× 647 1.1× 436 1.3× 477 1.7× 169 3.4k
Laura Vázquez‐Araújo Spain 24 784 1.0× 721 1.2× 797 1.3× 403 1.2× 179 0.6× 92 1.8k
Ana Carla Marques Pinheiro Brazil 29 1.6k 2.1× 607 1.0× 743 1.3× 207 0.6× 239 0.9× 104 2.9k

Countries citing papers authored by Ulla Kidmose

Since Specialization
Citations

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

Fields of papers citing papers by Ulla Kidmose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulla Kidmose

This figure shows the co-authorship network connecting the top 25 collaborators of Ulla Kidmose. A scholar is included among the top collaborators of Ulla Kidmose 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 Ulla Kidmose. Ulla Kidmose 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.
Alexi, Niki, et al.. (2025). Drivers and Barriers for Plant-Based Cheese Alternatives Adoption: Insights from Diverse Consumer Clusters. Foods. 14(7). 1162–1162. 1 indexed citations
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Pedersen, Line Bjørnskov, et al.. (2022). Application of Non-Dominated Sorting Genetic Algorithm (NSGA-II) to Increase the Efficiency of Bakery Production: A Case Study. Processes. 10(8). 1623–1623. 10 indexed citations
5.
Mielby, Line Ahm, Yan Zeng, Yuanxia Sun, et al.. (2022). Investigating the temporality of binary taste interactions in blends of sweeteners and citric acid in solution. Journal of Sensory Studies. 37(6). 8 indexed citations
6.
Bianchi, G., Roberto Lo Scalzo, Marta Fibiani, et al.. (2021). Quality assessment of dried organic bell peppers through composition and sensory analysis. European Food Research and Technology. 247(8). 1883–1897. 1 indexed citations
7.
Wang, Qian Janice, Line Ahm Mielby, Anette Kistrup Thybo, et al.. (2019). Sweeter together? Assessing the combined influence of product‐related and contextual factors on perceived sweetness of fruit beverages. Journal of Sensory Studies. 34(3). 39 indexed citations
8.
Wang, Qian Janice, et al.. (2019). The Role of Intrinsic and Extrinsic Sensory Factors in Sweetness Perception of Food and Beverages: A Review. Foods. 8(6). 211–211. 108 indexed citations
9.
Paolo, Dario, G. Bianchi, Carlo F. Morelli, et al.. (2019). Impact of drying techniques, seasonal variation and organic growing on flavor compounds profiles in two Italian tomato varieties. Food Chemistry. 298. 125062–125062. 28 indexed citations
10.
Laursen, Anne Sofie Dam, et al.. (2018). Bitter taste masking of enzyme‐treated soy protein in water and bread. Journal of the Science of Food and Agriculture. 98(10). 3860–3869. 26 indexed citations
11.
Mielby, Line Ahm, Qian Janice Wang, Sidsel Jensen, et al.. (2018). See, Feel, Taste: The Influence of Receptacle Colour and Weight on the Evaluation of Flavoured Carbonated Beverages. Foods. 7(8). 119–119. 27 indexed citations
12.
Mogensen, Lisbeth, et al.. (2017). Impaired milk quality and cheese making properties is not a concern for managing cows for 15 or 18 months calving intervals. International Dairy Journal. 70. 2–11. 9 indexed citations
13.
Gaillard, Charlotte, Martin Tang Sørensen, M. Vestergaard, et al.. (2017). Effect of substituting soybean meal and canola cake with grain-based dried distillers grains with solubles as a protein source on feed intake, milk production, and milk quality in dairy cows. Journal of Dairy Science. 100(10). 7980–7989. 8 indexed citations
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Kidmose, Ulla, Søren Krogh Jensen, Mikael Agerlin Petersen, et al.. (2016). Short communication: Effect of oregano and caraway essential oils on the production and flavor of cow milk. Journal of Dairy Science. 99(10). 7898–7903. 34 indexed citations
16.
Poulsen, Nina Aagaard, Mette Krogh Larsen, Ulla Kidmose, et al.. (2016). Good sensory quality and cheesemaking properties in milk from Holstein cows managed for an 18-month calving interval. Journal of Dairy Science. 99(11). 8524–8536. 11 indexed citations
17.
Larsen, Mette Krogh, et al.. (2012). Chemical composition and sensory quality of bovine milk as affected by type of forage and proportion of concentrate in the feed ration. Journal of the Science of Food and Agriculture. 93(1). 93–99. 40 indexed citations
18.
Hammershøj, Marianne, Ulla Kidmose, & Sanna Steenfeldt. (2010). Deposition of carotenoids in egg yolk by short‐term supplement of coloured carrot (Daucus carota) varieties as forage material for egg‐laying hens. Journal of the Science of Food and Agriculture. 90(7). 1163–1171. 81 indexed citations
19.
Hammershøj, Marianne & Ulla Kidmose. (2006). Coloured carrot varieties as forage material for egg layers.. 1 indexed citations
20.
Kidmose, Ulla, et al.. (2005). Chromatographic Determination of Changes in Pigments in Spinach (Spinacia oleracea L.) During Processing. Journal of Chromatographic Science. 43(9). 466–472. 31 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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