Mika Gustafsson

3.0k total citations
64 papers, 1.4k citations indexed

About

Mika Gustafsson is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Mika Gustafsson has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 18 papers in Immunology and 10 papers in Physiology. Recurrent topics in Mika Gustafsson's work include Bioinformatics and Genomic Networks (25 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (11 papers). Mika Gustafsson is often cited by papers focused on Bioinformatics and Genomic Networks (25 papers), Gene Regulatory Network Analysis (14 papers) and Gene expression and cancer classification (11 papers). Mika Gustafsson collaborates with scholars based in Sweden, United States and Spain. Mika Gustafsson's co-authors include Michael Hörnquist, Mikael Benson, Huan Zhang, Anna Maria Lombardi, Colm E. Nestor, Danuta R. Gawel, Jan Ernerudh, Rebecka Jörnsten, David Martínez-Enguita and Jesper Tegnér and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Mika Gustafsson

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mika Gustafsson Sweden 19 687 283 123 118 113 64 1.4k
Mikael Benson Sweden 29 1.2k 1.7× 418 1.5× 437 3.6× 243 2.1× 60 0.5× 80 2.4k
Tao Peng China 28 1.8k 2.6× 213 0.8× 80 0.7× 110 0.9× 75 0.7× 104 2.8k
Kazunori Nagasaka Japan 24 767 1.1× 213 0.8× 49 0.4× 132 1.1× 94 0.8× 108 1.7k
Xianwang Wang China 21 645 0.9× 329 1.2× 63 0.5× 121 1.0× 54 0.5× 65 1.7k
Tao Zhu China 26 1.0k 1.5× 282 1.0× 130 1.1× 114 1.0× 146 1.3× 74 2.1k
Xin Lai China 27 1.1k 1.6× 160 0.6× 71 0.6× 140 1.2× 32 0.3× 101 2.2k
Julie Klein France 30 1.2k 1.8× 170 0.6× 215 1.7× 159 1.3× 119 1.1× 107 2.5k
Rebecka Jörnsten Sweden 19 753 1.1× 64 0.2× 78 0.6× 92 0.8× 16 0.1× 44 1.4k
Shaofeng Yan United States 26 853 1.2× 602 2.1× 62 0.5× 74 0.6× 103 0.9× 94 2.6k
Carlos Eduardo Ferreira Brazil 17 522 0.8× 62 0.2× 33 0.3× 87 0.7× 65 0.6× 69 1.2k

Countries citing papers authored by Mika Gustafsson

Since Specialization
Citations

This map shows the geographic impact of Mika Gustafsson'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 Mika Gustafsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Gustafsson more than expected).

Fields of papers citing papers by Mika Gustafsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mika Gustafsson. 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 Mika Gustafsson. The network helps show where Mika Gustafsson may publish in the future.

Co-authorship network of co-authors of Mika Gustafsson

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Gustafsson. A scholar is included among the top collaborators of Mika Gustafsson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mika Gustafsson. Mika Gustafsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sayyab, Shumaila, David Martínez-Enguita, Mika Gustafsson, et al.. (2024). A DNA Methylation Signature From Buccal Swabs to Identify Tuberculosis Infection. The Journal of Infectious Diseases. 231(1). e47–e58. 2 indexed citations
2.
Schäfer, Samuel, Oleg Sysoev, Sandra Lilja, et al.. (2024). scDrugPrio: a framework for the analysis of single-cell transcriptomics to address multiple problems in precision medicine in immune-mediated inflammatory diseases. Genome Medicine. 16(1). 42–42. 7 indexed citations
3.
Guala, Dimitri, et al.. (2024). Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules. Patterns. 5(11). 101093–101093. 1 indexed citations
4.
Hellberg, Sandra, Johanna Raffetseder, Mohsen Khademi, et al.. (2023). Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis. Nature Communications. 14(1). 6903–6903. 42 indexed citations
5.
Nestor, Colm E., et al.. (2022). Progesterone Inhibits the Establishment of Activation-Associated Chromatin During TH1 Differentiation. Frontiers in Immunology. 13. 835625–835625. 8 indexed citations
6.
Tegnér, Jesper, et al.. (2022). Deep neural network prediction of genome-wide transcriptome signatures – beyond the Black-box. npj Systems Biology and Applications. 8(1). 9–9. 18 indexed citations
7.
Martínez-Enguita, David, Jan Ernerudh, Lennart Nilsson, et al.. (2021). Combined prenatal Lactobacillus reuteri and ω-3 supplementation synergistically modulates DNA methylation in neonatal T helper cells. Clinical Epigenetics. 13(1). 135–135. 14 indexed citations
8.
Lubovac-Pilav, Zelmina, et al.. (2021). ComHub: Community predictions of hubs in gene regulatory networks. BMC Bioinformatics. 22(1). 58–58. 10 indexed citations
9.
Martínez-Enguita, David, Tomas Olsson, Lars Alfredsson, et al.. (2021). A validated generally applicable approach using the systematic assessment of disease modules by GWAS reveals a multi-omic module strongly associated with risk factors in multiple sclerosis. BMC Genomics. 22(1). 631–631. 6 indexed citations
10.
Gustafsson, Mika, et al.. (2019). LiPLike: towards gene regulatory network predictions of high certainty. Bioinformatics. 36(8). 2522–2529. 16 indexed citations
11.
Carlström, Karl E., Ewoud Ewing, Mathias Granqvist, et al.. (2019). Therapeutic efficacy of dimethyl fumarate in relapsing-remitting multiple sclerosis associates with ROS pathway in monocytes. Nature Communications. 10(1). 3081–3081. 107 indexed citations
12.
Björnsson, Bergþór, Carl Borrebaeck, Nils Elander, et al.. (2019). Digital twins to personalize medicine. Genome Medicine. 12(1). 258 indexed citations
13.
Nestor, Colm E., Antonio Lentini, Cathrine Nilsson, et al.. (2016). 5-Hydroxymethylcytosine Remodeling Precedes Lineage Specification during Differentiation of Human CD4+ T Cells. Cell Reports. 16(2). 559–570. 48 indexed citations
14.
Dahle, Charlotte, Magnus Vrethem, Mika Gustafsson, et al.. (2014). Regulatory T cells in Multiple Sclerosis – Indications of impaired function of suppressive capacity and a role for chemokines. Health Policy and Planning. 18(4). 421–8. 1 indexed citations
15.
Gustafsson, Mika, Colm E. Nestor, Huan Zhang, et al.. (2014). Modules, networks and systems medicine for understanding disease and aiding diagnosis. Genome Medicine. 6(10). 82–82. 126 indexed citations
16.
Bruhn, Sören, Mark Katzenellenbogen, Mika Gustafsson, et al.. (2012). Combining gene expression microarray- and cluster analysis with sequence-based predictions to identify regulators of IL-13 in allergy. Cytokine. 60(3). 736–740. 6 indexed citations
17.
Barrenäs, Fredrik, Sören Bruhn, Mika Gustafsson, et al.. (2012). Disease-Associated MRNA Expression Differences in Genes with Low DNA Methylation. 1 indexed citations
18.
Sjögren, Leif, et al.. (2011). Jämnhetsmätning på cykelvägar: utveckling och test av metod för att bedöma cyklisters åkkvalitet baserat på cykelvägens längsprofil. VTI Rapport. 2 indexed citations
19.
Vrethem, Magnus, et al.. (2011). Cytokine mapping in cerebrospinal fluid and blood in multiple sclerosis patients without oligoclonal bands. Multiple Sclerosis Journal. 18(5). 669–673. 10 indexed citations
20.
Gustafsson, Mika, et al.. (2007). Low Choline Concentrations in Normal-Appearing White Matter of Patients with Multiple Sclerosis and Normal MR Imaging Brain Scans. American Journal of Neuroradiology. 28(7). 1306–1312. 27 indexed citations

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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