Jonatan Tuncel

1.0k total citations
17 papers, 646 citations indexed

About

Jonatan Tuncel is a scholar working on Immunology, Oncology and Rheumatology. According to data from OpenAlex, Jonatan Tuncel has authored 17 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Oncology and 5 papers in Rheumatology. Recurrent topics in Jonatan Tuncel's work include T-cell and B-cell Immunology (9 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Jonatan Tuncel is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Jonatan Tuncel collaborates with scholars based in Sweden, United States and Germany. Jonatan Tuncel's co-authors include Rikard Holmdahl, Sabrina Haag, Shemin Lu, Peter Olofsson, Patrik Rorsman, Holger Luthman, Daiqing Li, Leif Groop, Ola Hansson and Ramūnas Jokubka and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jonatan Tuncel

17 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonatan Tuncel Sweden 13 218 192 160 127 105 17 646
Wataru Hirose Japan 16 219 1.0× 240 1.3× 191 1.2× 37 0.3× 85 0.8× 52 724
Mari Levula Finland 17 219 1.0× 552 2.9× 41 0.3× 131 1.0× 16 0.2× 22 988
Christian Jaeger Luxembourg 12 113 0.5× 184 1.0× 54 0.3× 63 0.5× 24 0.2× 13 518
Jung Wha Lee United States 15 161 0.7× 525 2.7× 35 0.2× 355 2.8× 195 1.9× 22 988
R V Bundick United Kingdom 12 172 0.8× 168 0.9× 29 0.2× 44 0.3× 30 0.3× 20 470
Anett Illing Germany 14 200 0.9× 263 1.4× 30 0.2× 66 0.5× 9 0.1× 21 705
Rudolf A. Baumgartner United States 19 325 1.5× 309 1.6× 48 0.3× 35 0.3× 66 0.6× 38 1.1k
Michael J. Primiano United States 10 132 0.6× 534 2.8× 37 0.2× 54 0.4× 14 0.1× 10 859
Ana Ortega Spain 18 65 0.3× 594 3.1× 68 0.4× 70 0.6× 15 0.1× 45 851
Rubana N. Kalyani United States 13 145 0.7× 181 0.9× 185 1.2× 33 0.3× 92 0.9× 34 941

Countries citing papers authored by Jonatan Tuncel

Since Specialization
Citations

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

Fields of papers citing papers by Jonatan Tuncel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonatan Tuncel

This figure shows the co-authorship network connecting the top 25 collaborators of Jonatan Tuncel. A scholar is included among the top collaborators of Jonatan Tuncel 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 Jonatan Tuncel. Jonatan Tuncel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rintisch, Carola, Liesu Meng, Florian Förster, et al.. (2021). Endophilin A2 deficiency protects rodents from autoimmune arthritis by modulating T cell activation. Nature Communications. 12(1). 610–610. 8 indexed citations
2.
Tuncel, Jonatan, Jens Holmberg, Sabrina Haag, et al.. (2020). Self-reactive T cells induce and perpetuate chronic relapsing arthritis. Arthritis Research & Therapy. 22(1). 95–95. 10 indexed citations
3.
Tuncel, Jonatan, Christophe Benoıst, & Diane Mathis. (2019). T cell anergy in perinatal mice is promoted by T reg cells and prevented by IL-33. The Journal of Experimental Medicine. 216(6). 1328–1344. 27 indexed citations
4.
Yau, Anthony C. Y., Jonatan Tuncel, & Rikard Holmdahl. (2017). The Major Histocompatibility Complex Class III Haplotype Ltab-Ncr3 Regulates Adjuvant-Induced but Not Antigen-Induced Autoimmunity. American Journal Of Pathology. 187(5). 987–998. 3 indexed citations
5.
Tuncel, Jonatan, Sabrina Haag, Markus Hoffmann, et al.. (2016). Animal Models of Rheumatoid Arthritis (I): Pristane-Induced Arthritis in the Rat. PLoS ONE. 11(5). e0155936–e0155936. 65 indexed citations
6.
Tuncel, Jonatan, Sabrina Haag, & Rikard Holmdahl. (2016). MHC class II alleles associated with Th1 rather than Th17 type immunity drive the onset of early arthritis in a rat model of rheumatoid arthritis. European Journal of Immunology. 47(3). 563–574. 18 indexed citations
7.
Yau, Anthony C. Y., et al.. (2016). Conserved 33-kb haplotype in the MHC class III region regulates chronic arthritis. Proceedings of the National Academy of Sciences. 113(26). E3716–24. 18 indexed citations
8.
Haag, Sabrina, Jonatan Tuncel, Soley Thordardottir, et al.. (2015). Positional Identification of RT1-B (HLA-DQ) as Susceptibility Locus for Autoimmune Arthritis. The Journal of Immunology. 194(6). 2539–2550. 21 indexed citations
9.
Haag, Sabrina, Nadine Schneider, Daniel E. Mason, et al.. (2014). Identification of New Citrulline‐Specific Autoantibodies, Which Bind to Human Arthritic Cartilage, by Mass Spectrometric Analysis of Citrullinated Type II Collagen. Arthritis & Rheumatology. 66(6). 1440–1449. 60 indexed citations
10.
Tuncel, Jonatan, Sabrina Haag, Stefan Carlsén, et al.. (2012). Class II major histocompatibility complex–associated response to type XI collagen regulates the development of chronic arthritis in rats. Arthritis & Rheumatism. 64(8). 2537–2547. 12 indexed citations
11.
Hoffmann, Markus, Karl Skriner, Sonja Herman, et al.. (2011). Nucleic acid-stimulated antigen-presenting cells trigger T cells to induce disease in a rat transfer model of inflammatory arthritis. Journal of Autoimmunity. 36(3-4). 288–300. 36 indexed citations
12.
Gillett, Alan, Mónica Marta, Tao Jin, et al.. (2010). TNF Production in Macrophages Is Genetically Determined and Regulates Inflammatory Disease in Rats. The Journal of Immunology. 185(1). 442–450. 12 indexed citations
13.
Rosengren, Anders H., Ramūnas Jokubka, Charlotte Granhall, et al.. (2009). Overexpression of Alpha2A-Adrenergic Receptors Contributes to Type 2 Diabetes. Science. 327(5962). 217–220. 215 indexed citations
14.
Hoffmann, Markus, Jonatan Tuncel, Karl Skriner, et al.. (2007). The Rheumatoid Arthritis-Associated Autoantigen hnRNP-A2 (RA33) Is a Major Stimulator of Autoimmunity in Rats with Pristane-Induced Arthritis. The Journal of Immunology. 179(11). 7568–7576. 45 indexed citations
15.
Dominguez, Cecilia, Olle Lidman, Jing‐Xia Hao, et al.. (2007). Genetic analysis of neuropathic pain-like behavior following peripheral nerve injury suggests a role of the major histocompatibility complex in development of allodynia. Pain. 136(3). 313–319. 27 indexed citations
16.
Holmberg, Jens, Jonatan Tuncel, Hisakata Yamada, et al.. (2006). Pristane, a Non-Antigenic Adjuvant, Induces MHC Class II-Restricted, Arthritogenic T Cells in the Rat. The Journal of Immunology. 176(2). 1172–1179. 63 indexed citations
17.
Tuncel, Jonatan, Karl Skriner, M Tohidast-Akrad, et al.. (2005). Identification of hnRNP-A2 (RA33) as a major B-cell and T-cell autoantigen in pristane–induced arthritis. Arthritis Research. 7(Suppl 1). P156–P156. 6 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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