Marit Næss

937 total citations
9 papers, 177 citations indexed

About

Marit Næss is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Marit Næss has authored 9 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Physiology. Recurrent topics in Marit Næss's work include Obesity, Physical Activity, Diet (4 papers), Nutritional Studies and Diet (3 papers) and Genetic Associations and Epidemiology (2 papers). Marit Næss is often cited by papers focused on Obesity, Physical Activity, Diet (4 papers), Nutritional Studies and Diet (3 papers) and Genetic Associations and Epidemiology (2 papers). Marit Næss collaborates with scholars based in Norway, Netherlands and Germany. Marit Næss's co-authors include Arnulf Langhammer, Siri Forsmo, Jerilynn C. Prior, Kirsti Kvaløy, Turid Lingaas Holmen, Mette Langaas, Johan Hå‌kon Bjø‌rngaard, Erik R. Sund, Kristian Hveem and Kirsti Kvaløy and has published in prestigious journals such as PLoS ONE, International Journal of Epidemiology and Journal of Epidemiology & Community Health.

In The Last Decade

Marit Næss

9 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marit Næss Norway 6 96 46 41 21 21 9 177
Shivali Patel United States 8 39 0.4× 29 0.6× 28 0.7× 21 1.0× 9 0.4× 20 182
Audrey Serafini Italy 8 61 0.6× 57 1.2× 29 0.7× 44 2.1× 34 1.6× 12 292
Paula Briggs United Kingdom 8 157 1.6× 53 1.2× 28 0.7× 31 1.5× 21 1.0× 41 245
Liangzhi Xu China 8 112 1.2× 63 1.4× 67 1.6× 60 2.9× 25 1.2× 19 224
Anton Holmgren Sweden 11 134 1.4× 41 0.9× 141 3.4× 25 1.2× 54 2.6× 25 285
Naeimeh Tayebi Iran 10 102 1.1× 95 2.1× 92 2.2× 27 1.3× 7 0.3× 42 294
Tahereh Behroozi-Lak Iran 10 124 1.3× 127 2.8× 37 0.9× 33 1.6× 5 0.2× 31 263
Xinyan Liu China 8 46 0.5× 32 0.7× 87 2.1× 44 2.1× 22 1.0× 40 224
Ketan Gondhalekar India 9 70 0.7× 15 0.3× 31 0.8× 9 0.4× 38 1.8× 46 243
K. Xu United States 4 67 0.7× 33 0.7× 147 3.6× 26 1.2× 17 0.8× 7 251

Countries citing papers authored by Marit Næss

Since Specialization
Citations

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

Fields of papers citing papers by Marit Næss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marit Næss

This figure shows the co-authorship network connecting the top 25 collaborators of Marit Næss. A scholar is included among the top collaborators of Marit Næss 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 Marit Næss. Marit Næss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Mai, Xiao‐Mei, et al.. (2025). Tracking of serum 25-hydroxyvitamin D levels over 11 years in the Norwegian HUNT study. Journal of Epidemiology & Community Health. 79(10). 787–793. 1 indexed citations
2.
Næss, Marit, et al.. (2024). Data Resource Profile: The HUNT Biobank. International Journal of Epidemiology. 53(3). 16 indexed citations
3.
Krokstad, Steinar, Erik R. Sund, Kirsti Kvaløy, Vegar Rangul, & Marit Næss. (2022). HUNT for better public health. Scandinavian Journal of Public Health. 50(7). 968–971. 6 indexed citations
4.
Eriksen, Siren, Mwaura Anne, Geir Selbæk, et al.. (2022). Use of screen-based media among older people during the COVID-19 pandemic. A HUNT study. Sykepleien Forskning. e–88131. 1 indexed citations
5.
Næss, Marit, Erik R. Sund, Gunnhild Åberge Vie, et al.. (2021). Intergenerational polygenic obesity risk throughout adolescence in a cross‐sectional study design: The HUNT study, Norway. Obesity. 29(11). 1916–1924. 6 indexed citations
6.
Næss, Marit, Erik R. Sund, Turid Lingaas Holmen, & Kirsti Kvaløy. (2018). Implications of parental lifestyle changes and education level on adolescent offspring weight: a population based cohort study - The HUNT Study, Norway. BMJ Open. 8(8). e023406–e023406. 22 indexed citations
7.
Waateringe, Robert P. van, Anneke C. Muller Kobold, Jana V. van Vliet‐Ostaptchouk, et al.. (2017). Influence of Storage and Inter- and Intra-Assay Variability on the Measurement of Inflammatory Biomarkers in Population-Based Biobanking. Biopreservation and Biobanking. 15(6). 512–518. 3 indexed citations
8.
Næss, Marit, Turid Lingaas Holmen, Mette Langaas, Johan Hå‌kon Bjø‌rngaard, & Kirsti Kvaløy. (2016). Intergenerational Transmission of Overweight and Obesity from Parents to Their Adolescent Offspring – The HUNT Study. PLoS ONE. 11(11). e0166585–e0166585. 43 indexed citations
9.
Prior, Jerilynn C., Marit Næss, Arnulf Langhammer, & Siri Forsmo. (2015). Ovulation Prevalence in Women with Spontaneous Normal-Length Menstrual Cycles – A Population-Based Cohort from HUNT3, Norway. PLoS ONE. 10(8). e0134473–e0134473. 79 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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2026