Daniel Nätt
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
Papers in
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- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 5
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- Animal Nutrition and Physiology 8
- Co-authors
- Per Jensen (5 shared papers)Per Jensen (3 shared papers)Vivian C. Goerlich (2 shared papers)Anita Öst (6 shared papers)Annika Thorsell (5 shared papers)Barry Macdonald (1 shared paper)Markus Heilig (3 shared papers)Leif Andersson (2 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (2 papers)Molecular Psychiatry (2 papers)Current Zoology (2 papers)Clinical Epigenetics (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Daniel Nätt
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Behavioral Neuroscience 105
- Animal Science and Zoology 231
- Small Animals 144
- Biological Psychiatry 45
- Cellular and Molecular Neuroscience 204
Countries citing papers authored by Daniel Nätt
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
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-authors
The 25 scholars most cited alongside Daniel Nätt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 167 | |
| 2 | 2019 | 133 | |
| 3 | 2012 | 124 | |
| 4 | 2018 | 117 | |
| 5 | 2012 | 109 | |
| 6 | 2007 | 87 | |
| 7 | 2009 | 65 | |
| 8 | 2017 | 53 | |
| 9 | 2019 | 51 | |
| 10 | 2016 | 40 | |
| 11 | 2015 | 36 | |
| 12 | 2014 | 35 | |
| 13 | 2020 | 33 | |
| 14 | 2015 | 32 | |
| 15 | 2006 | 28 | |
| 16 | 2016 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2016 | 17 | |
| 19 | 2010 | 15 | |
| 20 | 2019 | 15 |
About Daniel Nätt
Daniel Nätt is a scholar working on Molecular Biology, Animal Science and Zoology, Pediatrics, Perinatology and Child Health, Genetics and Social Psychology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (8 papers), Epigenetics and DNA Methylation (8 papers), Birth, Development, and Health (6 papers), RNA modifications and cancer (5 papers), Genetic and phenotypic traits in livestock (4 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers) and Primate Behavior and Ecology (3 papers). The work is most often cited by research in Behavioral Neuroscience (105 citations), Animal Science and Zoology (231 citations), Small Animals (144 citations), Biological Psychiatry (45 citations) and Cellular and Molecular Neuroscience (204 citations). Daniel Nätt has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Per Jensen, Per Jensen, Vivian C. Goerlich, Anita Öst, Annika Thorsell, Barry Macdonald, Markus Heilig, Leif Andersson, Gaëlle Augier and Niclas Lindqvist. Their work appears in journals such as PLoS ONE, Scientific Reports, Molecular Psychiatry, Current Zoology and Clinical Epigenetics.
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.