Daniel Eriksson
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
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- Adrenal Hormones and Disorders
Papers in
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- Gene expression and cancer classification 3
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- Adrenal Hormones and Disorders 5
- Co-authors
- Max Bylesjö (5 shared papers)Johan Trygg (4 shared papers)Thomas Möritz (3 shared papers)Miyako Kusano (1 shared paper)Urban Bergsten (7 shared papers)Stefan Jansson (4 shared papers)Andreas Sjödin (4 shared papers)Paul Geladi (4 shared papers)
- Journals
- Journal of Internal Medicine (2 papers)The Plant Journal (2 papers)BMC Bioinformatics (2 papers)Silva Fennica (1 paper)Ophthalmology (1 paper)
- Partner nations
- SwedenUnited StatesNorway
In The Last Decade
Daniel Eriksson
30 papers receiving 747 citations
Peers
Comparison fields: 5 of 116
- Analytical Chemistry 59
- Endocrinology, Diabetes and Metabolism 61
- Molecular Biology 270
- Food Science 72
- Biochemistry 20
Countries citing papers authored by Daniel Eriksson
This map shows the geographic impact of Daniel Eriksson'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 Eriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eriksson more than expected).
Fields of papers citing papers by Daniel Eriksson
This network shows the impact of papers produced by Daniel Eriksson. 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 Eriksson. The network helps show where Daniel Eriksson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Eriksson, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 191 | |
| 2 | 2017 | 67 | |
| 3 | 2007 | 64 | |
| 4 | 2006 | 49 | |
| 5 | 2020 | 48 | |
| 6 | 2016 | 45 | |
| 7 | 2016 | 41 | |
| 8 | 2020 | 33 | |
| 9 | 2023 | 31 | |
| 10 | 2018 | 27 | |
| 11 | 2006 | 21 | |
| 12 | 2011 | 21 | |
| 13 | 2008 | 20 | |
| 14 | 2020 | 16 | |
| 15 | 2005 | 16 | |
| 16 | 2022 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2006 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2014 | 8 |
About Daniel Eriksson
Daniel Eriksson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Nature and Landscape Conservation and Building and Construction, having authored 32 papers that have together received 778 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (5 papers), Forest ecology and management (5 papers), Wood Treatment and Properties (3 papers), Gene expression and cancer classification (3 papers), BRCA gene mutations in cancer (3 papers), Phase Equilibria and Thermodynamics (2 papers), Forest Insect Ecology and Management (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Analytical Chemistry (59 citations), Endocrinology, Diabetes and Metabolism (61 citations), Molecular Biology (270 citations), Food Science (72 citations) and Biochemistry (20 citations). Daniel Eriksson has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Max Bylesjö, Johan Trygg, Thomas Möritz, Miyako Kusano, Urban Bergsten, Stefan Jansson, Andreas Sjödin, Paul Geladi, Mehrdad Arshadi and Andrew J. Hunt. Their work appears in journals such as Journal of Internal Medicine, The Plant Journal, BMC Bioinformatics, Silva Fennica and Ophthalmology.
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.