Ingunn Berget

1.5k total citations
63 papers, 1.1k citations indexed

About

Ingunn Berget is a scholar working on Food Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Ingunn Berget has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Food Science, 21 papers in Nutrition and Dietetics and 17 papers in Molecular Biology. Recurrent topics in Ingunn Berget's work include Biochemical Analysis and Sensing Techniques (20 papers), Sensory Analysis and Statistical Methods (17 papers) and Multisensory perception and integration (10 papers). Ingunn Berget is often cited by papers focused on Biochemical Analysis and Sensing Techniques (20 papers), Sensory Analysis and Statistical Methods (17 papers) and Multisensory perception and integration (10 papers). Ingunn Berget collaborates with scholars based in Norway, Denmark and Uruguay. Ingunn Berget's co-authors include Tormod Næs, Sigbjørn Lien, Paula Varela, Valérie L. Almli, Ida Rud, Eli Grindflek, Hilde Sundvold, Bjørn‐Helge Mevik, Knut Rudi and Monika Sekelja and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Ingunn Berget

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingunn Berget Norway 19 299 247 201 159 114 63 1.1k
Ambra Rita Di Rosa Italy 18 256 0.9× 173 0.7× 171 0.9× 251 1.6× 50 0.4× 47 949
Mingxu Xie China 19 182 0.6× 503 2.0× 119 0.6× 93 0.6× 51 0.4× 42 1.3k
Renato Ribeiro de Lima Brazil 18 163 0.5× 78 0.3× 86 0.4× 349 2.2× 83 0.7× 118 1.1k
Weihong Wang China 26 155 0.5× 633 2.6× 69 0.3× 23 0.1× 77 0.7× 82 1.8k
Yang Chen China 26 248 0.8× 964 3.9× 53 0.3× 68 0.4× 59 0.5× 129 2.1k
Yao Zhang China 26 283 0.9× 390 1.6× 97 0.5× 174 1.1× 55 0.5× 84 1.9k
G. Savoini Italy 27 494 1.7× 482 2.0× 440 2.2× 802 5.0× 331 2.9× 154 2.2k
Selçuk Özdemir Türkiye 24 79 0.3× 364 1.5× 108 0.5× 53 0.3× 33 0.3× 73 1.6k
Sha Li China 12 170 0.6× 596 2.4× 101 0.5× 41 0.3× 68 0.6× 20 1.1k
Ingrid Måge Norway 21 435 1.5× 543 2.2× 114 0.6× 335 2.1× 53 0.5× 57 1.6k

Countries citing papers authored by Ingunn Berget

Since Specialization
Citations

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

Fields of papers citing papers by Ingunn Berget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingunn Berget

This figure shows the co-authorship network connecting the top 25 collaborators of Ingunn Berget. A scholar is included among the top collaborators of Ingunn Berget 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 Ingunn Berget. Ingunn Berget 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.
Berget, Ingunn, et al.. (2025). Reducing food waste: The role of yogurt appearance and package information across consumer segments. Food Quality and Preference. 131. 105575–105575. 1 indexed citations
2.
Berget, Ingunn, et al.. (2024). Improving sensory quality and properties of stirred high-protein yogurts with a rotor/stator device. International Dairy Journal. 160. 106078–106078. 1 indexed citations
3.
Berget, Ingunn, et al.. (2024). Basic taste sensitivity, eating behaviour, food propensity and BMI of preadolescent children: How are they related?. SHILAP Revista de lepidopterología. 1. 127–127. 2 indexed citations
4.
Ssali, Reuben, Suzanne D. Johanningsmeier, Henriëtte L. de Kock, et al.. (2023). Decision tree scoring system to guide selection for consumer preference in sweetpotato breeding trials. Journal of the Science of Food and Agriculture. 104(8). 4615–4625. 7 indexed citations
5.
Rud, Ida, et al.. (2023). Taste perception and oral microbiota: recent advances and future perspectives. Current Opinion in Food Science. 51. 101030–101030. 6 indexed citations
6.
7.
Berget, Ingunn, et al.. (2022). Basic taste sensitivity, eating behaviour, food propensity and BMI of preadolescent children: How are they related?. Open Research Europe. 1. 127–127. 1 indexed citations
8.
Berget, Ingunn, et al.. (2021). Basic taste sensitivity, eating behaviour, and propensity of dairy foods of preadolescent children: How are they related?. Open Research Europe. 1. 127–127. 1 indexed citations
9.
10.
Måge, Ingrid, et al.. (2021). Analysing microbiome intervention design studies: Comparison of alternative multivariate statistical methods. PLoS ONE. 16(11). e0259973–e0259973. 15 indexed citations
11.
Berget, Ingunn, John C. Castura, Gastón Ares, Tormod Næs, & Paula Varela. (2019). Exploring the common and unique variability in TDS and TCATA data – A comparison using canonical correlation and orthogonalization. Food Quality and Preference. 79. 103790–103790. 15 indexed citations
12.
Varela, Paula, Ingunn Berget, Margrethe Hersleth, et al.. (2017). Projective mapping based on choice or preference: An affective approach to projective mapping. Food Research International. 100(Pt 2). 241–251. 19 indexed citations
13.
Varela, Paula, Lucía Antúnez, Ingunn Berget, et al.. (2017). Influence of consumers' cognitive style on results from projective mapping. Food Research International. 99(Pt 1). 693–701. 15 indexed citations
14.
Rode, Tone Mari, et al.. (2009). MALDI-TOF mass spectrometry for quantitative gene expression analysis of acid responses in Staphylococcus aureus. Journal of Microbiological Methods. 78(1). 86–93. 4 indexed citations
15.
Berget, Ingunn, et al.. (2009). Changes in lipid metabolism associated gene transcripts during porcine adipogenesis. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 153(1). 8–17. 7 indexed citations
16.
Lien, Sigbjørn, Christian Bendixen, Jakob Hedegaard, et al.. (2008). Gene expression profiles in liver of pigs with extreme high and low levels of androstenone. BMC Veterinary Research. 4(1). 29–29. 43 indexed citations
17.
Berget, Ingunn, et al.. (2008). Differential gene expression of fatty acid binding proteins during porcine adipogenesis. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 151(2). 147–152. 65 indexed citations
18.
Martens, Harald, Achim Köhler, Nils Kristian Afseth, et al.. (2007). High-throughput measurements for functionalgenomics of milk. Journal of Animal and Feed Sciences. 16(Suppl. 1). 172–189. 4 indexed citations
19.
Meuwissen, T.H.E., Sigbjørn Lien, Christian Bendixen, et al.. (2007). Gene expression profiles in testis of pigs with extreme high and low levels of androstenone. BMC Genomics. 8(1). 405–405. 50 indexed citations
20.
Berget, Ingunn & Tormod Næs. (2002). Optimal Sorting of Raw Materials, Based on the Predicted End-Product Quality. Quality Engineering. 14(3). 459–478. 15 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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