Jonas Sundbäck

793 total citations
17 papers, 672 citations indexed

About

Jonas Sundbäck is a scholar working on Immunology, Virology and Oncology. According to data from OpenAlex, Jonas Sundbäck has authored 17 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 2 papers in Virology and 2 papers in Oncology. Recurrent topics in Jonas Sundbäck's work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (5 papers). Jonas Sundbäck is often cited by papers focused on Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (5 papers). Jonas Sundbäck collaborates with scholars based in Sweden, France and United States. Jonas Sundbäck's co-authors include Klas Kärre, Charles L. Sentman, Margarita Salcedo, Adnane Achour, M Y Olsson-Alheim, Hans‐Gustaf Ljunggren, Robert A. Harris, Jakob Michaëlsson, Alexander D. Diehl and Luc Van Kaer and has published in prestigious journals such as Immunity, The Journal of Immunology and Immunological Reviews.

In The Last Decade

Jonas Sundbäck

17 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Sundbäck Sweden 13 633 114 66 40 31 17 672
Matthew Crooks United States 9 467 0.7× 92 0.8× 83 1.3× 72 1.8× 11 0.4× 9 585
Jingjing She United States 8 408 0.6× 120 1.1× 81 1.2× 64 1.6× 23 0.7× 13 480
Jack Brennan Canada 5 561 0.9× 114 1.0× 44 0.7× 32 0.8× 33 1.1× 8 586
Philipp Kohl Germany 4 357 0.6× 48 0.4× 125 1.9× 28 0.7× 12 0.4× 5 434
Faye Reddington United Kingdom 8 473 0.7× 80 0.7× 61 0.9× 50 1.3× 16 0.5× 8 514
Douglas S. Smoot United States 8 320 0.5× 60 0.5× 85 1.3× 21 0.5× 18 0.6× 8 404
K M Higgins United States 6 236 0.4× 57 0.5× 122 1.8× 43 1.1× 27 0.9× 7 368
Annette E. Sköld Sweden 12 391 0.6× 144 1.3× 138 2.1× 35 0.9× 10 0.3× 16 470
U.H. von Andrian United States 3 353 0.6× 101 0.9× 56 0.8× 41 1.0× 12 0.4× 6 405
T F Gajewski Belgium 6 500 0.8× 173 1.5× 92 1.4× 27 0.7× 6 0.2× 6 563

Countries citing papers authored by Jonas Sundbäck

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Sundbäck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Sundbäck

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Sundbäck. A scholar is included among the top collaborators of Jonas Sundbäck 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 Jonas Sundbäck. Jonas Sundbäck 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.
Chen, Liying, Jonas Sundbäck, Sigvard Olofsson, & Mikael Jondal. (2006). Interference with O‐glycosylation in RMA lymphoma cells leads to a reduced in vivo growth of the tumor. International Journal of Cancer. 119(6). 1495–1500. 4 indexed citations
2.
Sundbäck, Jonas, et al.. (2002). NK Cell Inhibitory Receptor Ly-49C Residues Involved in MHC Class I Binding. The Journal of Immunology. 168(2). 793–800. 13 indexed citations
3.
Sandberg, Johan K., Lars Franksson, Jonas Sundbäck, et al.. (2000). T Cell Tolerance Based on Avidity Thresholds Rather Than Complete Deletion Allows Maintenance of Maximal Repertoire Diversity. The Journal of Immunology. 165(1). 25–33. 63 indexed citations
4.
Michaëlsson, Jakob, Adnane Achour, Margarita Salcedo, et al.. (2000). Visualization of inhibitory Ly49 receptor specificity with soluble major histocompatibility complex class I tetramers. European Journal of Immunology. 30(1). 300–307. 64 indexed citations
5.
Michaëlsson, Jakob, Adnane Achour, Margarita Salcedo, et al.. (2000). Visualization of inhibitory Ly49 receptor specificity with soluble major histocompatibility complex class I tetramers. European Journal of Immunology. 30(1). 300–307. 3 indexed citations
6.
Franksson, Lars, et al.. (1999). Peptide dependency and selectivity of the NK cell inhibitory receptor Ly-49C. European Journal of Immunology. 29(9). 2748–2758. 55 indexed citations
7.
Achour, Adnane, Robert A. Harris, Karina Persson, et al.. (1999). Murine class I major histocompatibility complex H–2Dd: expression, refolding and crystallization. Acta Crystallographica Section D Biological Crystallography. 55(1). 260–262. 24 indexed citations
8.
Olsson-Alheim, M Y, Jonas Sundbäck, Klas Kärre, & Charles L. Sentman. (1999). The MHC Class I Molecule H-2Dp Inhibits Murine NK Cells via the Inhibitory Receptor Ly49A. The Journal of Immunology. 162(12). 7010–7014. 19 indexed citations
9.
Franksson, Lars, et al.. (1999). Peptide dependency and selectivity of the NK cell inhibitory receptor Ly-49C. European Journal of Immunology. 29(9). 2748–2758. 1 indexed citations
10.
Sundbäck, Jonas, et al.. (1998). Impaired MHC class I (H-2Dd)-mediated protection against Ly-49A+ NK cells after amino acid substitutions in the antigen binding cleft. European Journal of Immunology. 28(9). 2872–2881. 18 indexed citations
11.
Sundbäck, Jonas, Mary C. Nakamura, Eréne C. Niemi, et al.. (1998). The α2 Domain of H-2Dd Restricts the Allelic Specificity of the Murine NK Cell Inhibitory Receptor Ly-49A. The Journal of Immunology. 160(12). 5971–5978. 29 indexed citations
12.
Achour, Adnane, Karina Persson, Robert A. Harris, et al.. (1998). The Crystal Structure of H-2Dd MHC Class I Complexed with the HIV-1-Derived Peptide P18-I10 at 2.4 Å Resolution. Immunity. 9(2). 199–208. 66 indexed citations
13.
Sundbäck, Jonas, Mary C. Nakamura, Eréne C. Niemi, et al.. (1998). The alpha2 domain of H-2Dd restricts the allelic specificity of the murine NK cell inhibitory receptor Ly-49A.. PubMed. 160(12). 5971–8. 31 indexed citations
14.
Höglund, Petter, Jonas Sundbäck, M Y Olsson-Alheim, et al.. (1997). Host MHC class I gene control of NK‐cell specificity in the mouse. Immunological Reviews. 155(1). 11–28. 130 indexed citations
15.
Salcedo, Margarita, Alexander D. Diehl, M Y Olsson-Alheim, et al.. (1997). Altered expression of Ly49 inhibitory receptors on natural killer cells from MHC class I-deficient mice. The Journal of Immunology. 158(7). 3174–3180. 107 indexed citations
16.
Salcedo, Margarita, Alexander D. Diehl, M Y Olsson-Alheim, et al.. (1997). Altered expression of Ly49 inhibitory receptors on NK cells from MHC class I deficient mice. Immunology Letters. 56. 385–385. 11 indexed citations
17.
Sundbäck, Jonas, Klas Kärre, & Charles L. Sentman. (1996). Cloning of minimally divergent allelic forms of the natural killer (NK) receptor Ly-49C, differentially controlled by host genes in the MHC and NK gene complexes. The Journal of Immunology. 157(9). 3936–3942. 34 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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