Rune Rødbotten

775 total citations
28 papers, 609 citations indexed

About

Rune Rødbotten is a scholar working on Animal Science and Zoology, Analytical Chemistry and Nutrition and Dietetics. According to data from OpenAlex, Rune Rødbotten has authored 28 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 7 papers in Analytical Chemistry and 6 papers in Nutrition and Dietetics. Recurrent topics in Rune Rødbotten's work include Meat and Animal Product Quality (19 papers), Animal Nutrition and Physiology (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Rune Rødbotten is often cited by papers focused on Meat and Animal Product Quality (19 papers), Animal Nutrition and Physiology (9 papers) and Spectroscopy and Chemometric Analyses (7 papers). Rune Rødbotten collaborates with scholars based in Norway, Denmark and United Kingdom. Rune Rødbotten's co-authors include Kjell Ivar Hildrum, Bente Kirkhus, B.N. Nilsen, John‐Erik Haugen, Jens Petter Wold, Øydis Ueland, Mona Elisabeth Pedersen, Sissel Beate Rønning, Wim Verbeke and Lynn Van Wezemael and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Rune Rødbotten

26 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rune Rødbotten Norway 14 403 155 121 80 79 28 609
B. Uttaro Canada 18 714 1.8× 192 1.2× 176 1.5× 161 2.0× 150 1.9× 60 923
Ó. López-Campos Canada 19 728 1.8× 152 1.0× 117 1.0× 154 1.9× 157 2.0× 81 1.0k
Adriana Lourenço Soares Brazil 16 560 1.4× 77 0.5× 100 0.8× 55 0.7× 103 1.3× 56 677
Leila Moreira de Carvalho Brazil 12 479 1.2× 38 0.2× 136 1.1× 46 0.6× 142 1.8× 32 635
C. Craigie New Zealand 17 468 1.2× 383 2.5× 89 0.7× 28 0.3× 126 1.6× 36 768
Eugenio Miguel Spain 13 384 1.0× 31 0.2× 255 2.1× 108 1.4× 154 1.9× 24 812
S. Millar United Kingdom 10 243 0.6× 134 0.9× 186 1.5× 143 1.8× 76 1.0× 15 623
K. Insausti Spain 20 941 2.3× 105 0.7× 316 2.6× 174 2.2× 218 2.8× 56 1.2k
Danijela Vranić Serbia 12 285 0.7× 26 0.2× 141 1.2× 84 1.1× 114 1.4× 71 573
G. G. Mafi United States 20 1.0k 2.6× 62 0.4× 220 1.8× 96 1.2× 266 3.4× 89 1.2k

Countries citing papers authored by Rune Rødbotten

Since Specialization
Citations

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

Fields of papers citing papers by Rune Rødbotten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rune Rødbotten

This figure shows the co-authorship network connecting the top 25 collaborators of Rune Rødbotten. A scholar is included among the top collaborators of Rune Rødbotten 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 Rune Rødbotten. Rune Rødbotten 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.
Nilsson, Astrid, et al.. (2025). Impact on lipid profile and influence on sensory, texture and structural properties when replacing saturated fats with rapeseed oil in Frankfurter-type sausages. European Food Research and Technology. 251(8). 2211–2224. 1 indexed citations
3.
Gwala, Shannon, Carmit Shani Levi, Rune Rødbotten, et al.. (2025). Strategic Considerations in Designing Food Solutions for Seniors. Foods. 14(3). 396–396. 2 indexed citations
4.
Gariglio, Marta, Francesco Gai, Rune Rødbotten, et al.. (2024). Breaking down barriers: live or dehydrated dietary whole black soldier fly larvae supplementation in slow growing chickens preserve meat quality and sensory traits. Poultry Science. 103(11). 104120–104120. 6 indexed citations
5.
Borge, Grethe Iren A., Rune Rødbotten, Ingunn Berget, et al.. (2023). Levels of nitrate, nitrite and nitrosamines in model sausages during heat treatment and in vitro digestion – The impact of adding nitrite and spinach (Spinacia oleracea L.). Food Research International. 166. 112595–112595. 17 indexed citations
6.
Ueland, Øydis, Rune Rødbotten, & Paula Varela. (2022). Meat consumption and consumer attitudes – A Norwegian perspective. Meat Science. 192. 108920–108920. 25 indexed citations
8.
Rønning, Sissel Beate, et al.. (2018). Vitamin K2 improves proliferation and migration of bovine skeletal muscle cells in vitro. PLoS ONE. 13(4). e0195432–e0195432. 16 indexed citations
9.
Veiseth-Kent, Eva, Mona Elisabeth Pedersen, Sissel Beate Rønning, & Rune Rødbotten. (2017). Can postmortem proteolysis explain tenderness differences in various bovine muscles?. Meat Science. 137. 114–122. 35 indexed citations
10.
Rødbotten, Rune, Thomas E. Gundersen, Cees Vermeer, & Bente Kirkhus. (2014). Vitamin K2 in different bovine muscles and breeds. Meat Science. 97(1). 49–53. 8 indexed citations
11.
Hocquette, Jean-François J.-F., Lynn Van Wezemael, Sghaïer Chriki, et al.. (2013). Modelling of beef sensory quality for a better prediction of palatability. Meat Science. 97(3). 316–322. 59 indexed citations
13.
Rødbotten, Rune, et al.. (2012). Effect of varying ratios ofn-6andn-3on selenium content in broiler breast muscle. Acta Agriculturae Scandinavica Section A – Animal Science. 62(2). 81–92. 1 indexed citations
14.
Wezemael, Lynn Van, Øydis Ueland, Rune Rødbotten, et al.. (2011). The effect of technology information on consumer expectations and liking of beef. Meat Science. 90(2). 444–450. 32 indexed citations
15.
Hildrum, Kjell Ivar, et al.. (2009). Classification of different bovine muscles according to sensory characteristics and Warner Bratzler shear force. Meat Science. 83(2). 302–307. 49 indexed citations
16.
Næs, Tormod, et al.. (2004). Prediction of Important Sulphite Pulp Properties from near Infrared Spectra: A Feasibility Study and Comparison of Methods. Journal of Near Infrared Spectroscopy. 12(5). 279–285. 8 indexed citations
17.
Rødbotten, Rune, Kjell Ivar Hildrum, & Jan Bouwe van den Berg. (2002). Effects of Concentrate Level on Carcass Composition, Tenderness and Growth Rate of Angus × NRF and Limousin × NRF Bulls. Acta Agriculturae Scandinavica Section A – Animal Science. 52(2). 72–80. 2 indexed citations
18.
Rødbotten, Rune, Kjell Ivar Hildrum, & Jan van den Berg. (2002). Effects of Concentrate Level on Carcass Composition, Tenderness and Growth Rate of Angus × NRF and Limousin × NRF Bulls. Acta Agriculturae Scandinavica Section A – Animal Science. 52(2). 72–80.
19.
Rødbotten, Rune, Bjørn‐Helge Mevik, & Kjell Ivar Hildrum. (2001). Prediction and Classification of Tenderness in Beef from Non-Invasive Diode Array Detected NIR Spectra. Journal of Near Infrared Spectroscopy. 9(3). 199–210. 32 indexed citations
20.
Rødbotten, Rune, B.N. Nilsen, & Kjell Ivar Hildrum. (2000). Prediction of beef quality attributes from early post mortem near infrared reflectance spectra. Food Chemistry. 69(4). 427–436. 92 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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