Karl‐Johan Malmberg

14.9k total citations · 2 hit papers
124 papers, 8.5k citations indexed

About

Karl‐Johan Malmberg is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Karl‐Johan Malmberg has authored 124 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Immunology, 47 papers in Oncology and 17 papers in Hematology. Recurrent topics in Karl‐Johan Malmberg's work include Immune Cell Function and Interaction (108 papers), T-cell and B-cell Immunology (74 papers) and CAR-T cell therapy research (43 papers). Karl‐Johan Malmberg is often cited by papers focused on Immune Cell Function and Interaction (108 papers), T-cell and B-cell Immunology (74 papers) and CAR-T cell therapy research (43 papers). Karl‐Johan Malmberg collaborates with scholars based in Sweden, Norway and United States. Karl‐Johan Malmberg's co-authors include Hans‐Gustaf Ljunggren, Niklas K. Björkström, Mattias Carlsten, Jakob Michaëlsson, Cyril Fauriat, Vivien Béziat, Andreas T. Björklund, Yenan T. Bryceson, Marie Schaffer and Rolf Kiessling and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Karl‐Johan Malmberg

120 papers receiving 8.4k citations

Hit Papers

align trajectories

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.

Cytomegalovirus Infection Drives Adaptive Epigenetic Diversification of NK Cells with Altered Signaling and Effector Function

2015 551 citations Frank Cichocki, Vivien Béziat et al. profile →
Expression patterns of NKG2A, KIR, and CD57 define a process of CD56dim NK-cell differentiation uncoupled from NK-cell education

2010 551 citations Niklas K. Björkström, Cyril Fauriat et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl‐Johan Malmberg Sweden	49	7.4k	2.9k	1.1k	1.1k	977	124	8.5k
Simona Sivori Italy	51	8.7k 1.2×	2.5k 0.9×	754 0.7×	1.1k 1.0×	817 0.8×	101	9.5k
Roberto Biassoni Italy	55	13.2k 1.8×	3.1k 1.1×	992 0.9×	1.5k 1.4×	1.3k 1.3×	168	14.4k
Adelheid Cerwenka Germany	57	8.3k 1.1×	3.7k 1.3×	1.1k 1.0×	654 0.6×	1.6k 1.6×	115	10.4k
Yenan T. Bryceson Sweden	47	7.6k 1.0×	2.2k 0.7×	852 0.7×	1.6k 1.4×	1.1k 1.1×	138	9.1k
Miguel López‐Botet Spain	60	11.1k 1.5×	2.4k 0.8×	2.3k 2.0×	826 0.8×	931 1.0×	190	12.5k
Jenny E. Gumperz United States	46	7.0k 0.9×	1.8k 0.6×	871 0.8×	472 0.4×	712 0.7×	91	8.1k
Alexander Steinle Germany	47	8.8k 1.2×	4.1k 1.4×	741 0.6×	716 0.7×	1.5k 1.5×	110	10.2k
Nathalie Rufer Switzerland	42	5.6k 0.8×	3.1k 1.1×	1.3k 1.1×	646 0.6×	1.9k 1.9×	114	8.2k
Isabelle Durand France	41	6.9k 0.9×	1.8k 0.6×	633 0.6×	426 0.4×	1.2k 1.3×	56	8.4k
Kimberly S. Schluns United States	35	8.5k 1.2×	2.2k 0.8×	871 0.8×	429 0.4×	1.4k 1.4×	59	10.0k

Countries citing papers authored by Karl‐Johan Malmberg

Since Specialization

Citations

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

Fields of papers citing papers by Karl‐Johan Malmberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl‐Johan Malmberg. 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 Karl‐Johan Malmberg. The network helps show where Karl‐Johan Malmberg may publish in the future.

Co-authorship network of co-authors of Karl‐Johan Malmberg

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

All Works

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20 of 20 papers shown

Hammond, Benjamin, Thomas Fernandez, Sabine Kinloch, et al.. (2025). Expanded adaptive NKG2C+ NK cells exhibit potent ADCC and functional responses against HBV-infected hepatoma cell lines. Cytotherapy. 28(3). 101996–101996.

Majhi, Rakesh Kumar, et al.. (2024). The G Protein–Coupled Receptor GPR56 Is an Inhibitory Checkpoint for NK Cell Migration. The Journal of Immunology. 213(9). 1349–1357. 2 indexed citations

Pfefferle, Aline, et al.. (2024). Egr2 to the rescue: nanoparticles revitalize natural killer cells in the fight against cancer. The EMBO Journal. 43(13). 2527–2529.

Pfefferle, Aline, Jodie P. Goodridge, Ebba Sohlberg, et al.. (2024). Pan-cancer profiling of tumor-infiltrating natural killer cells through transcriptional reference mapping. Nature Immunology. 25(8). 1445–1459. 28 indexed citations

Sandoz, Patrick A., Sarah Thunberg, Elina Erikson, et al.. (2023). Modulation of lytic molecules restrain serial killing in γδ T lymphocytes. Nature Communications. 14(1). 6035–6035. 10 indexed citations

Kanaya, Minoru, Hanna Julie Hoel, Merete Thune Wiiger, et al.. (2023). Mapping the chemotactic landscape in NK cells reveals subset-specific synergistic migratory responses to dual chemokine receptor ligation. EBioMedicine. 96. 104811–104811. 15 indexed citations

Sullivan, Lucy C., Thi H. O. Nguyen, Christopher M. Harpur, et al.. (2021). Natural killer cell receptors regulate responses of HLA-E–restricted T cells. Science Immunology. 6(58). 17 indexed citations

Sohlberg, Ebba, Aline Pfefferle, Eivind Heggernes Ask, et al.. (2021). Perturbed NK-cell homeostasis associated with disease severity in chronic neutropenia. Blood. 139(5). 704–716. 10 indexed citations

Goodridge, Jode, Ryan Bjordahl, Sajid Mahmood, et al.. (2020). FT576: Multi-Specific Off-the-Shelf CAR-NK Cell Therapy Engineered for Enhanced Persistence, Avoidance of Self-Fratricide and Optimized Mab Combination Therapy to Prevent Antigenic Escape and Elicit a Deep and Durable Response in Multiple Myeloma. Blood. 136(Supplement 1). 4–5. 34 indexed citations

10.

Oei, Vincent Yi Sheng, Marta Siernicka, Agnieszka Graczyk‐Jarzynka, et al.. (2018). Intrinsic Functional Potential of NK-Cell Subsets Constrains Retargeting Driven by Chimeric Antigen Receptors. Cancer Immunology Research. 6(4). 467–480. 91 indexed citations

11.

Björklund, Andreas T., Mattias Carlsten, Ebba Sohlberg, et al.. (2018). Complete Remission with Reduction of High-Risk Clones following Haploidentical NK-Cell Therapy against MDS and AML. Clinical Cancer Research. 24(8). 1834–1844. 141 indexed citations

12.

Jacobs, Bénédikt, Aline Pfefferle, Dennis Clement, et al.. (2018). Induction of the BIM Short Splice Variant Sensitizes Proliferating NK Cells to IL-15 Withdrawal. The Journal of Immunology. 202(3). 736–746. 8 indexed citations

13.

Liu, Lisa L., Vivien Béziat, Vincent Yi Sheng Oei, et al.. (2017). Ex Vivo Expanded Adaptive NK Cells Effectively Kill Primary Acute Lymphoblastic Leukemia Cells. Cancer Immunology Research. 5(8). 654–665. 61 indexed citations

14.

Goodridge, Jodie P., Björn Önfelt, & Karl‐Johan Malmberg. (2015). Newtonian cell interactions shape natural killer cell education. Immunological Reviews. 267(1). 197–213. 49 indexed citations

15.

Béziat, Vivien, Lisa L. Liu, Martin A. Ivarsson, et al.. (2013). NK cell responses to cytomegalovirus infection lead to stable imprints in the human KIR repertoire and involve activating KIRs. Blood. 121(14). 2678–2688. 396 indexed citations

16.

Fauriat, Cyril, Martin A. Ivarsson, Hans‐Gustaf Ljunggren, Karl‐Johan Malmberg, & Jakob Michaëlsson. (2009). Education of human natural killer cells by activating killer cell immunoglobulin-like receptors. Blood. 115(6). 1166–1174. 222 indexed citations

17.

Björkström, Niklas K., Veronica D. Gonzalez, Karl‐Johan Malmberg, et al.. (2008). Elevated Numbers of FcγRIIIA+ (CD16+) Effector CD8 T Cells with NK Cell-Like Function in Chronic Hepatitis C Virus Infection. The Journal of Immunology. 181(6). 4219–4228. 56 indexed citations

18.

Carlsten, Mattias, Niklas K. Björkström, Håkan Norell, et al.. (2007). DNAX Accessory Molecule-1 Mediated Recognition of Freshly Isolated Ovarian Carcinoma by Resting Natural Killer Cells. Cancer Research. 67(3). 1317–1325. 189 indexed citations

19.

Harlin, Helena, Mikael Hanson, C. Christian Johansson, et al.. (2007). The CD16−CD56bright NK Cell Subset Is Resistant to Reactive Oxygen Species Produced by Activated Granulocytes and Has Higher Antioxidative Capacity Than the CD16+CD56dim Subset. The Journal of Immunology. 179(7). 4513–4519. 65 indexed citations

20.

Malmberg, Karl‐Johan, Velmurugesan Arulampalam, Fumiko Ichihara, et al.. (2001). Inhibition of Activated/Memory (CD45RO+) T Cells by Oxidative Stress Associated with Block of NF-κB Activation. The Journal of Immunology. 167(5). 2595–2601. 121 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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