Daniel Eriksson
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
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- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
-
- Forest ecology and management 5
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- Adrenal Hormones and Disorders 5
- Hormonal Regulation and Hypertension 4
- Co-authors
- Max BylesjöJohan TryggThomas MöritzMiyako KusanoUrban BergstenStefan JanssonAndreas SjödinPaul Geladi
- Journals
- Journal of Internal Medicine (2 papers)BMC Bioinformatics (2 papers)The Plant Journal (2 papers)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- SwedenUnited StatesNorway
In The Last Decade
Daniel Eriksson
29 papers receiving 718 citations
Peers
Comparison fields: 5 of 116
- Analytical Chemistry 64
- Molecular Biology 308
- Endocrinology, Diabetes and Metabolism 70
- Food Science 75
- 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 4 | |
| 9 | 2018 | 8 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 4 | |
| 12 | 2016 | 41 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 9 | |
| 15 | 2011 | 21 | |
| 16 | 2007 | 64 | |
| 17 | 2007 | 187 | |
| 18 | 2006 | 49 | |
| 19 | 2005 | 16 | |
| 20 | Spatial modeling of nature conservation variables useful in forestry planning | 2000 | 6 |
About Daniel Eriksson
Daniel Eriksson is a scholar working on Nature and Landscape Conservation, Endocrinology, Diabetes and Metabolism, Genetics, Biotechnology and Building and Construction, having authored 32 papers that have together received 754 indexed citations. Recurring topics across this work include Forest ecology and management (5 papers), Adrenal Hormones and Disorders (5 papers), Gene expression and cancer classification (4 papers), Hormonal Regulation and Hypertension (4 papers), BRCA gene mutations in cancer (3 papers), Wood Treatment and Properties (3 papers), Diabetes and associated disorders (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Analytical Chemistry (64 citations), Molecular Biology (308 citations), Endocrinology, Diabetes and Metabolism (70 citations), Food Science (75 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 Olle Kämpe. Their work appears in journals such as Journal of Internal Medicine, BMC Bioinformatics, The Plant Journal, Scientific Reports and Frontiers in Immunology.
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.