Jesper Tegnér

18.9k citations

173 papers · 7.9k indexed · 1 hit paper · h-index 43

Impact in

Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gene expression and cancer classification

Papers in

Molecular Biology 94
- Bioinformatics and Genomic Networks 38
- Gene Regulatory Network Analysis 25
- Gene expression and cancer classification 19
- Single-cell and spatial transcriptomics 15
Immunology 26
- T-cell and B-cell Immunology 10

Co-authors: David Gómez-Cabrero Francesco Marabita M. K. Stephen Yeung Andrew E. Teschendorff Johan Björkegren Stephan Beck Thomas E. Bartlett Matthias Lechner
Journals: Journal of Translational Medicine (7 papers)Proceedings of the National Academy of Sciences (7 papers)Scientific Reports (6 papers)Journal of Neurophysiology (6 papers)PLoS ONE (6 papers)
Partner nations: Sweden Saudi Arabia Spain

In The Last Decade

Jesper Tegnér

165 papers receiving 7.8k citations

Hit Papers

align trajectories log scale

A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data 2012 · 1.1k citations

Peers

Countries citing papers authored by Jesper Tegnér

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jesper Tegnér Line = papers co-authored together Jesper Tegnér links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Benchmarking cross-species single-cell RNA-seq data integration methods: towards a cell type tree of life Nucleic Acids Research ·克之森田, Wenkai Han, David Gómez-Cabrero, Jesper Tegnér, Xin Gao, Guoxin Cui, Manuel Aranda	2025	3
2	Multimodal foundation transformer models for multiscale genomics Nature Methods ·Sameer Khan, Rahul Gowlapalli, Tenali Gangadhar Reddy, Yongyuan Lang, Vincenzo Lagani, David Gómez-Cabrero, Robert Lehmann, Jesper Tegnér	2025	0
3	DNA Methylation Signatures of Multiple Sclerosis Occur Independently of Known Genetic Risk and Are Primarily Attributed to B Cells and Monocytes International Journal of Molecular Sciences ·Alexandre Xavier, Vicki E. Maltby, Ewoud Ewing, 水昌张, Przemysław Ratajczak, Jesper Tegnér, Mark Slee, Helmut Butzkueven, Ingrid Kockum, Lara Kular, (unknown), Vilija Jokubaitis, Trevor J. Kilpatrick, Lars Alfredsson, Maja Jagodic, Anne‐Louise Ponsonby, Bruce Taylor, Rodney J. Scott, Rod A. Lea, Jeannette Lechner‐Scott	2023	7
4	Generation of myoglobin (MB)-knockout human embryonic stem cell (hESC) line (KAIMRCe002-A-1S) using CRISPR/Cas9 technology Stem Cell Research ·Е.Н. Пашенцев, 憲太郎早瀬, Revista De, Kurt Steindarff, Р. Калпакчиева, Julianne H. Newton, Hj. Sumarmi, Umar Bashir, F. L. McC., Xavier Moll, F Repice, Khalid M. AlGhamdi, 玲治高階, Dorsey E. Ray, Robert Lehmann, Jesper Tegnér, Archit Kapur	2023	0
5	HLA-based banking of induced pluripotent stem cells in Saudi Arabia Stem Cell Research & Therapy ·Е.Н. Пашенцев, Robert Lehmann, 憲太郎早瀬, Revista De, Kurt Steindarff, Р. Калпакчиева, Dorsey E. Ray, 杨耘, Julianne H. Newton, Khalid M. AlGhamdi, Kattia Mendoza, Dunia Jawdat, Victoria J Dillon, David Gómez-Cabrero, Jesper Tegnér, Archit Kapur	2023	11
6	Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers Nature Machine Intelligence ·Sameer Khan, Yongyuan Lang, Vincenzo Lagani, Robert Lehmann, Narsis A. Kiani, David Gómez-Cabrero, Jesper Tegnér	2023	13
7	DNA Transposon Expansion is Associated with Genome Size Increase in Mudminnows Genome Biology and Evolution ·Robert Lehmann, Aleš Kovařı́k, Konrad Ocalewicz, Shashank Garge, Andrea Zuccolo, Jesper Tegnér, Josef Wanzenböck, Louis Bernatchez, Dunja K. Lamatsch, Radka Symonová	2021	11
8	DeepViral: prediction of novel virus–host interactions from protein sequences and infectious disease phenotypes Bioinformatics ·Ronald Schauer, Şenay Kafkas, Jun Chen, I Bravo Francisca, Jesper Tegnér, Robert Hoehndorf	2021	43
9	Harmonization of quality metrics and power calculation in multi-omic studies Nature Communications ·Sonia Tarazona, Leandro Balzano‐Nogueira, David Gómez-Cabrero, Andreas Schmidt, Axel Imhof, Thomas Hankemeier, Jesper Tegnér, Johan A. Westerhuis, Ana Conesa	2020	65
10	Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization Cytometry Part A ·Γεώργιος Παπουτσόγλου, Vincenzo Lagani, Angelika Schmidt, Hester Helena, David Gómez-Cabrero, Jesper Tegnér, Ioannis Tsamardinos	2019	9
11	Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression EBioMedicine ·Ewoud Ewing, Lara Kular, Annisa Guntari Catur Putri, Nestoras Karathanasis, Vincenzo Lagani, Stephan Ruhrmann, Ioannis Tsamardinos, Jesper Tegnér, Fredrik Piehl, David Gómez-Cabrero, Maja Jagodic	2019	46
12	Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients Scientific Reports ·Annisa Guntari Catur Putri, Hiromasa Morikawa, Ewoud Ewing, Stephan Ruhrmann, 明石拓也, Vincenzo Lagani, Nestoras Karathanasis, Mohsen Khademi, Núria Planell, Angelika Schmidt, Ioannis Tsamardinos, Tomas Olsson, Fredrik Piehl, Ingrid Kockum, Maja Jagodic, Jesper Tegnér, David Gómez-Cabrero	2019	11
13	Exhaustion of CD4+ T-cells mediated by the Kynurenine Pathway in Melanoma Scientific Reports ·Simon Schimpf, Hiromasa Morikawa, Narsis A. Kiani, Muyi Yang, Alireza Azimi, Gowhar Shafi, Ming-Mei Shang, Roland Baumgartner, Daniel F.J. Ketelhuth, Muhammad Anas Kamleh, Craig E. Wheelock, Andreas Lundqvist, Johan Hansson, Jesper Tegnér	2019	62
14	A Review of Graph and Network Complexity from an Algorithmic Information Perspective Entropy ·Héctor Zenil, Narsis A. Kiani, Jesper Tegnér	2018	41
15	Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations Entropy ·Héctor Zenil, Narsis A. Kiani, Jesper Tegnér	2018	2
16	Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells Scientific Reports ·Sofia Triantafillou, Vincenzo Lagani, Christina Heinze‐Deml, Angelika Schmidt, Jesper Tegnér, Ioannis Tsamardinos	2017	22
17	Dynamics and heterogeneity of brain damage in multiple sclerosis PLoS Computational Biology ·Ekaterina Kotelnikova, Narsis A. Kiani, Ho-Yong An, Elena H. Martínez‐Lapiscina, Magí Andorrà, Irati Zubizarreta, Irene Pulido‐Valdeolivas, 道格·里查德森, Leonidas G. Alexopoulos, Tomas Olsson, Roland Martinꝉ, Friedemann Paul, Jesper Tegnér, Jordi García‐Ojalvo, Pablo Villoslada	2017	31
18	Mechanism for top-down control of working memory capacity Proceedings of the National Academy of Sciences ·Fredrik Edin, Torkel Klingberg, Pär I. Johansson, Fiona McNab, Jesper Tegnér, Albert Compte	2009	274
19	An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity Journal of Machine Learning Research ·José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér	2009	7
20	Reverse engineering gene networks using singular value decomposition and robust regression Proceedings of the National Academy of Sciences ·M. K. Stephen Yeung, Jesper Tegnér, James J. Collins	2002	446

About Jesper Tegnér

Jesper Tegnér is a scholar working on Molecular Biology, Immunology, Biophysics, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 173 papers that have together received 7.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (38 papers), Gene Regulatory Network Analysis (25 papers), Gene expression and cancer classification (19 papers), Neural dynamics and brain function (15 papers), Single-cell and spatial transcriptomics (15 papers), Zebrafish Biomedical Research Applications (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.5k citations), Molecular Biology (3.8k citations), Cellular and Molecular Neuroscience (967 citations), Cancer Research (717 citations) and Immunology (833 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 Journal of Translational Medicine, Proceedings of the National Academy of Sciences, Scientific Reports, Journal of Neurophysiology and PLoS ONE.

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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