Klas Kärre

19.6k total citations · 5 hit papers
180 papers, 14.7k citations indexed

About

Klas Kärre is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Klas Kärre has authored 180 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Immunology, 37 papers in Oncology and 16 papers in Epidemiology. Recurrent topics in Klas Kärre's work include Immune Cell Function and Interaction (155 papers), T-cell and B-cell Immunology (113 papers) and Immunotherapy and Immune Responses (63 papers). Klas Kärre is often cited by papers focused on Immune Cell Function and Interaction (155 papers), T-cell and B-cell Immunology (113 papers) and Immunotherapy and Immune Responses (63 papers). Klas Kärre collaborates with scholars based in Sweden, United States and Italy. Klas Kärre's co-authors include Hans‐Gustaf Ljunggren, Rolf Kiessling, Petter Höglund, Hans Ljunggren, Gerald E. Piontek, Claes Öhlén, Alain Townsend, Judy Bastin, Ennio Carbone and Petter Brodin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Klas Kärre

178 papers receiving 14.4k citations

Hit Papers

In search of the ‘missing self’: MHC molecules and NK cel... 1985 2026 1998 2012 1990 1986 1989 1990 1985 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. In search of the ‘missing self’: MHC molecules and NK cell recognition
    1990 2.1k citations Hans‐Gustaf Ljunggren, Klas Kärre profile →
  2. Selective rejection of H–2-deficient lymphoma variants suggests alternative immune defence strategy
    1986 1.7k citations Klas Kärre, Rolf Kiessling et al. profile →
  3. Association of class I major histocompatibility heavy and light chains induced by viral peptides
    1989 867 citations Claes Öhlén, Hans‐Gustaf Ljunggren et al. profile →
  4. Empty MHC class I molecules come out in the cold
    1990 810 citations Claes Öhlén, Petter Höglund et al. profile →
  5. Host resistance directed selectively against H-2-deficient lymphoma variants. Analysis of the mechanism.
    1985 623 citations Hans‐Gustaf Ljunggren, Klas Kärre The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klas Kärre Sweden 56 12.9k 3.3k 1.8k 1.4k 1.1k 180 14.7k
Alf Hamann Germany 59 11.3k 0.9× 2.5k 0.8× 2.7k 1.5× 1.2k 0.8× 894 0.8× 153 15.6k
Cristina Bottino Italy 74 19.1k 1.5× 5.3k 1.6× 1.7k 1.0× 1.3k 0.9× 2.1k 2.0× 186 20.9k
Rosanne Spolski United States 50 10.2k 0.8× 3.4k 1.1× 1.7k 0.9× 1.1k 0.7× 673 0.6× 90 13.5k
Roberto Biassoni Italy 55 13.2k 1.0× 3.1k 1.0× 1.3k 0.7× 992 0.7× 1.5k 1.4× 168 14.4k
Kenneth H. Grabstein United States 54 11.6k 0.9× 3.2k 1.0× 2.6k 1.4× 2.8k 1.9× 1.0k 0.9× 86 15.7k
Iqbal S. Grewal United States 56 7.7k 0.6× 2.3k 0.7× 2.0k 1.1× 837 0.6× 659 0.6× 125 10.8k
Massimo Vitale Italy 54 13.4k 1.0× 4.1k 1.3× 1.5k 0.8× 916 0.6× 1.4k 1.2× 108 14.8k
Kayo Inaba Japan 51 11.8k 0.9× 2.0k 0.6× 2.6k 1.4× 840 0.6× 365 0.3× 129 14.2k
Alfred Singer United States 64 11.3k 0.9× 2.5k 0.8× 2.4k 1.3× 549 0.4× 536 0.5× 185 13.7k
Víctor H. Engelhard United States 74 11.5k 0.9× 4.3k 1.3× 5.5k 3.0× 1.0k 0.7× 984 0.9× 209 15.3k

Countries citing papers authored by Klas Kärre

Since Specialization
Citations

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

Fields of papers citing papers by Klas Kärre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klas Kärre

This figure shows the co-authorship network connecting the top 25 collaborators of Klas Kärre. A scholar is included among the top collaborators of Klas Kärre 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 Klas Kärre. Klas Kärre 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.
Wagner, Arnika Kathleen, Nadir Kadri, Christopher A. Tibbitt, et al.. (2022). PD-1 expression on mouse intratumoral NK cells and its effects on NK cell phenotype. iScience. 25(10). 105137–105137. 11 indexed citations
2.
Oliveira, Mariana M.S., Julien Record, Mezida B. Saeed, et al.. (2021). Constitutive activation of WASp leads to abnormal cytotoxic cells with increased granzyme B and degranulation response to target cells. JCI Insight. 6(6). 8 indexed citations
3.
Wagner, Arnika Kathleen, Stina L. Wickström, Rossana Tallerico, et al.. (2015). Retuning of Mouse NK Cells after Interference with MHC Class I Sensing Adjusts Self-Tolerance but Preserves Anticancer Response. Cancer Immunology Research. 4(2). 113–123. 15 indexed citations
4.
Brauner, Hanna, Marjet Elemans, Christian Broberger, et al.. (2010). Distinct Phenotype and Function of NK Cells in the Pancreas of Nonobese Diabetic Mice. The Journal of Immunology. 184(5). 2272–2280. 74 indexed citations
5.
Brodin, Petter, Tadepally Lakshmikanth, Sven‐Erik Johansson, Klas Kärre, & Petter Höglund. (2008). The strength of inhibitory input during education quantitatively tunes the functional responsiveness of individual natural killer cells. Blood. 113(11). 2434–2441. 201 indexed citations
6.
French, Anthony R., Rima Koka, Liping Yang, et al.. (2006). DAP12 Signaling Directly Augments Proproliferative Cytokine Stimulation of NK Cells during Viral Infections. The Journal of Immunology. 177(8). 4981–4990. 64 indexed citations
7.
Robbins, Scott H., Gilles Bessou, Åsa Hidmark, et al.. (2006). DAP12 Signaling Regulates Plasmacytoid Dendritic Cell Homeostasis and Down-Modulates Their Function during Viral Infection. The Journal of Immunology. 177(5). 2908–2916. 46 indexed citations
8.
Hidmark, Åsa, et al.. (2006). DAP12 signaling regulates plasmacytoid dendritic cell homeostasis and down-modulates their function during viral infection.. The Journal of Immunology. 177(8). 5748–5748. 3 indexed citations
9.
Rölle, Alexander, Mehrdad Mousavi‐Jazi, Mikael Eriksson, et al.. (2003). Effects of Human Cytomegalovirus Infection on Ligands for the Activating NKG2D Receptor of NK Cells: Up-Regulation of UL16-Binding Protein (ULBP)1 and ULBP2 Is Counteracted by the Viral UL16 Protein. The Journal of Immunology. 171(2). 902–908. 150 indexed citations
10.
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
11.
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
12.
Carbone, Ennio, Giuseppe Terrazzano, Delia Zanzi, et al.. (2000). Inhibition of Human NK Cell-Mediated Killing by CD1 Molecules. The Journal of Immunology. 164(12). 6130–6137. 28 indexed citations
13.
Cerboni, Cristina, Mehrdad Mousavi‐Jazi, Annika Linde, et al.. (2000). Human Cytomegalovirus Strain-Dependent Changes in NK Cell Recognition of Infected Fibroblasts. The Journal of Immunology. 164(9). 4775–4782. 64 indexed citations
14.
Sandberg, Johan K., Claudia Devito, Birgit Kohleisen, et al.. (2000). Human Immunodeficiency Virus Type 1 Nef Epitopes Recognized in HLA-A2 Transgenic Mice in Response to DNA and Peptide Immunization. Virology. 273(1). 112–119. 7 indexed citations
15.
Kärre, Klas & Marco Colonna. (1998). Specificity, function, and development of NK cells : NK cells: the effector arm of innate immunity. Springer eBooks. 2 indexed citations
16.
Johansson, Maria H., et al.. (1998). External and Internal Calibration of the MHC Class I-Specific Receptor Ly49A on Murine Natural Killer Cells. The Journal of Immunology. 161(11). 6133–6138. 42 indexed citations
17.
Glas, Rickard, Claes Öhlén, Petter Höglund, & Klas Kärre. (1994). The CD8+ T cell repertoire in beta 2-microglobulin-deficient mice is biased towards reactivity against self-major histocompatibility class I.. The Journal of Experimental Medicine. 179(2). 661–672. 89 indexed citations
18.
Ljunggren, Hans‐Gustaf, et al.. (1988). Afferent and efferent cellular interactions in natural resistance directed against MHC class I deficient tumor grafts.. The Journal of Immunology. 140(2). 671–678. 37 indexed citations
19.
Kärre, Klas, et al.. (1980). THE GENETIC REGULATION OF NK‐ACTIVITY: STUDIES ON CONGENIC MICE WITH B10 OR AKR BACKGROUND. International Journal of Immunogenetics. 7(5). 401–407. 4 indexed citations
20.
Kiessling, Rolf, et al.. (1976). Killer cells: a functional comparison between natural, immune T-cell and antibody-dependent in vitro systems.. The Journal of Experimental Medicine. 143(4). 772–780. 150 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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