Jesper Tegnér
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Bioinformatics and Genomic Networks 29
- Gene Regulatory Network Analysis 25
- Gene expression and cancer classification 17
- Single-cell and spatial transcriptomics 15
- Immunology 23
- T-cell and B-cell Immunology 10
- Co-authors
- David Gómez-Cabrero (58 shared papers)Francesco Marabita (8 shared papers)M. K. Stephen Yeung (2 shared papers)Andrew E. Teschendorff (3 shared papers)Johan Björkegren (25 shared papers)Stephan Beck (2 shared papers)Thomas E. Bartlett (1 shared paper)Matthias Lechner (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Translational Medicine (7 papers)PLoS ONE (6 papers)Journal of Neurophysiology (6 papers)Scientific Reports (6 papers)
- Partner nations
- SwedenSaudi ArabiaSpain
In The Last Decade
Jesper Tegnér
166 papers receiving 7.9k citations
Jesper Tegnér's Hit Papers
Peers
Comparison fields: 5 of 186
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 940
- Molecular Biology 3.4k
- Cancer Research 600
- Immunology 723
Countries citing papers authored by Jesper Tegnér
This map shows the geographic impact of Jesper Tegnér'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 Jesper Tegnér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Tegnér more than expected).
Fields of papers citing papers by Jesper Tegnér
This network shows the impact of papers produced by Jesper Tegnér. 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 Jesper Tegnér. The network helps show where Jesper Tegnér may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesper Tegnér, 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data Hit paper breakdown → | 2012 | 1118 |
| 2 | 2002 | 447 | |
| 3 | 2003 | 293 | |
| 4 | 2004 | 285 | |
| 5 | 2009 | 276 | |
| 6 | 2014 | 269 | |
| 7 | 2015 | 213 | |
| 8 | 2003 | 196 | |
| 9 | 1998 | 193 | |
| 10 | 2014 | 179 | |
| 11 | 1994 | 160 | |
| 12 | 2013 | 159 | |
| 13 | 2006 | 141 | |
| 14 | 2006 | 136 | |
| 15 | 2015 | 129 | |
| 16 | 2013 | 123 | |
| 17 | Consistent Feature Selection for Pattern Recognition in Polynomial Time | 2007 | 119 |
| 18 | 2002 | 118 | |
| 19 | 2015 | 102 | |
| 20 | 2006 | 94 |
About Jesper Tegnér
Jesper Tegnér is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 176 papers that have together received 8.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (29 papers), Gene Regulatory Network Analysis (25 papers), Gene expression and cancer classification (17 papers), Single-cell and spatial transcriptomics (15 papers), Neural dynamics and brain function (15 papers), Neuroscience and Neuropharmacology Research (11 papers), Zebrafish Biomedical Research Applications (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (940 citations), Molecular Biology (3.4k citations), Cancer Research (600 citations) and Immunology (723 citations). Jesper Tegnér has collaborated with scholars based in Sweden, Saudi Arabia and Spain. Frequent co-authors include David Gómez-Cabrero, Francesco Marabita, M. K. Stephen Yeung, Andrew E. Teschendorff, Johan Björkegren, Stephan Beck, Thomas E. Bartlett, Matthias Lechner, James J. Collins and Roland Nilsson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Translational Medicine, PLoS ONE, Journal of Neurophysiology and Scientific Reports.
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.