Daniel Nätt

1.8k total citations
29 papers, 1.2k citations indexed

About

Daniel Nätt is a scholar working on Molecular Biology, Animal Science and Zoology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daniel Nätt has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Animal Science and Zoology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Daniel Nätt's work include Epigenetics and DNA Methylation (8 papers), Animal Nutrition and Physiology (8 papers) and Birth, Development, and Health (6 papers). Daniel Nätt is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Animal Nutrition and Physiology (8 papers) and Birth, Development, and Health (6 papers). Daniel Nätt collaborates with scholars based in Sweden, United States and Germany. Daniel Nätt's co-authors include Per Jensen, Per Jensen, Vivian C. Goerlich, Anita Öst, Annika Thorsell, Barry Macdonald, Markus Heilig, Leif Andersson, Gaëlle Augier and Peter A. Torjesen and has published in prestigious journals such as Science, Bioinformatics and PLoS ONE.

In The Last Decade

Daniel Nätt

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Nätt Sweden 18 413 231 220 204 177 29 1.2k
Annemarie M. Baars Netherlands 20 256 0.6× 93 0.4× 135 0.6× 306 1.5× 63 0.4× 32 1.2k
S. Helene Richter Germany 22 274 0.7× 140 0.6× 269 1.2× 223 1.1× 51 0.3× 89 2.0k
Rebecca E. Nordquist Netherlands 25 271 0.7× 793 3.4× 443 2.0× 440 2.2× 88 0.5× 72 2.2k
Jane E. Robinson United Kingdom 38 406 1.0× 405 1.8× 752 3.4× 510 2.5× 518 2.9× 95 4.5k
Brianna N. Gaskill United States 22 180 0.4× 259 1.1× 320 1.5× 179 0.9× 33 0.2× 68 1.7k
Jill E. Schneider United States 26 124 0.3× 181 0.8× 247 1.1× 182 0.9× 119 0.7× 69 2.6k
Sandra J. Legan United States 26 224 0.5× 349 1.5× 905 4.1× 230 1.1× 167 0.9× 56 3.2k
Femke Buisman‐Pijlman Australia 18 82 0.2× 126 0.5× 260 1.2× 141 0.7× 87 0.5× 33 1.6k
Didier Chesneau France 21 161 0.4× 149 0.6× 267 1.2× 132 0.6× 81 0.5× 54 1.1k
P.V. Malven United States 32 265 0.6× 512 2.2× 666 3.0× 322 1.6× 94 0.5× 137 2.8k

Countries citing papers authored by Daniel Nätt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nätt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nätt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nätt. A scholar is included among the top collaborators of Daniel Nätt 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 Daniel Nätt. Daniel Nätt 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.
Kugelberg, Unn, et al.. (2023). Seqpac: a framework for sRNA-seq analysis in R using sequence-based counts. Bioinformatics. 39(4). 1 indexed citations
2.
Kugelberg, Unn, et al.. (2023). Stress‐sensitive dynamics of miRNAs and Elba1 in Drosophila embryogenesis. Molecular Systems Biology. 19(5). e11148–e11148. 1 indexed citations
3.
Ramesh, Rashmi, et al.. (2022). Dietary Sugar Shifts Mitochondrial Metabolism and Small RNA Biogenesis in Sperm. Antioxidants and Redox Signaling. 38(16-18). 1167–1183. 8 indexed citations
4.
Nätt, Daniel, Thomas Elbert, Katy Robjant, et al.. (2021). DNA methylation changes following narrative exposure therapy in a randomized controlled trial with female former child soldiers. Scientific Reports. 11(1). 18493–18493. 13 indexed citations
5.
Nätt, Daniel, et al.. (2019). Experiencing community and domestic violence is associated with epigenetic changes in DNA methylation of BDNF and CLPX in adolescents. Psychophysiology. 57(1). e13382–e13382. 15 indexed citations
6.
Hecker, Tobias, Vanja Vukojević, Simone Gonçalves de Assis, et al.. (2019). Does Prenatal Stress Shape Postnatal Resilience? – An Epigenome-Wide Study on Violence and Mental Health in Humans. Frontiers in Genetics. 10. 269–269. 51 indexed citations
7.
Augier, Eric, Estelle Barbier, Russell S. Dulman, et al.. (2018). A molecular mechanism for choosing alcohol over an alternative reward. Science. 360(6395). 1321–1326. 167 indexed citations
8.
Mayo, Leah M., Anna Asratian, Lovisa Holm, et al.. (2018). Protective effects of elevated anandamide on stress and fear-related behaviors: translational evidence from humans and mice. Molecular Psychiatry. 25(5). 993–1005. 117 indexed citations
9.
Assis, Simone Gonçalves de, et al.. (2017). Grandmaternal stress during pregnancy and DNA methylation of the third generation: an epigenome-wide association study. Translational Psychiatry. 7(8). e1202–e1202. 53 indexed citations
10.
Nätt, Daniel, Riccardo Barchiesi, Jian Feng, et al.. (2017). Perinatal Malnutrition Leads to Sexually Dimorphic Behavioral Responses with Associated Epigenetic Changes in the Mouse Brain. Scientific Reports. 7(1). 11082–11082. 19 indexed citations
11.
Nätt, Daniel & Annika Thorsell. (2016). Stress-induced transposon reactivation: a mediator or an estimator of allostatic load?. Current Zoology. 2(3). dvw015–dvw015. 17 indexed citations
12.
Thorsell, Annika & Daniel Nätt. (2016). Maternal stress and diet may influence affective behavior and stress-response in offspring via epigenetic regulation of central peptidergic function. Current Zoology. 2(3). dvw012–dvw012. 19 indexed citations
13.
Nätt, Daniel, I. Johansson, Tomas Faresjö, Johnny Ludvigsson, & Annika Thorsell. (2015). High cortisol in 5-year-old children causes loss of DNA methylation in SINE retrotransposons: a possible role for ZNF263 in stress-related diseases. Clinical Epigenetics. 7(1). 91–91. 32 indexed citations
14.
15.
Nätt, Daniel, Carl‐Johan Rubin, Dominic Wright, et al.. (2012). Heritable genome-wide variation of gene expression and promoter methylation between wild and domesticated chickens. BMC Genomics. 13(1). 59–59. 109 indexed citations
16.
Goerlich, Vivian C., et al.. (2012). Transgenerational effects of early experience on behavioral, hormonal and gene expression responses to acute stress in the precocial chicken. Hormones and Behavior. 61(5). 711–718. 124 indexed citations
17.
Nätt, Daniel, et al.. (2010). Brain gene expression in relation to fearfulness in female red junglefowl (Gallus gallus). Genes Brain & Behavior. 9(7). 751–758. 15 indexed citations
18.
Nätt, Daniel, Niclas Lindqvist, Henrik Stranneheim, et al.. (2009). Inheritance of Acquired Behaviour Adaptations and Brain Gene Expression in Chickens. PLoS ONE. 4(7). e6405–e6405. 65 indexed citations
19.
Janczak, Andrew M., Daniel Nätt, Niclas Lindqvist, et al.. (2007). Transmission of Stress-Induced Learning Impairment and Associated Brain Gene Expression from Parents to Offspring in Chickens. PLoS ONE. 2(4). e364–e364. 87 indexed citations
20.
Nätt, Daniel, Susanne Kerje, Leif Andersson, & Per Jensen. (2006). Plumage Color and Feather Pecking—Behavioral Differences Associated with PMEL17 Genotypes in Chicken (Gallus gallus). Behavior Genetics. 37(2). 399–407. 28 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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