Jakob Michaëlsson

13.0k total citations · 3 hit papers
79 papers, 7.3k citations indexed

About

Jakob Michaëlsson is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Jakob Michaëlsson has authored 79 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Virology. Recurrent topics in Jakob Michaëlsson's work include Immune Cell Function and Interaction (62 papers), T-cell and B-cell Immunology (44 papers) and Reproductive System and Pregnancy (20 papers). Jakob Michaëlsson is often cited by papers focused on Immune Cell Function and Interaction (62 papers), T-cell and B-cell Immunology (44 papers) and Reproductive System and Pregnancy (20 papers). Jakob Michaëlsson collaborates with scholars based in Sweden, United States and France. Jakob Michaëlsson's co-authors include Hans‐Gustaf Ljunggren, Douglas F. Nixon, Niklas K. Björkström, Jeff E. Mold, Martin A. Ivarsson, Karl‐Johan Malmberg, Joseph M. McCune, Cyril Fauriat, Trevor D. Burt and Klas Kärre and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jakob Michaëlsson

79 papers receiving 7.2k 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.

Maternal Alloantigens Promote the Development of Tolerogenic Fetal Regulatory T Cells in Utero

2008 625 citations Jeff E. Mold, Jakob Michaëlsson et al. Science 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 →
CD49a Expression Defines Tissue-Resident CD8 + T Cells Poised for Cytotoxic Function in Human Skin

2017 475 citations Nicole Marquardt, Marianne Forkel et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jakob Michaëlsson Sweden	43	5.9k	1.0k	972	769	576	79	7.3k
Guy Gorochov France	42	4.7k 0.8×	807 0.8×	1.5k 1.5×	979 1.3×	623 1.1×	111	7.4k
S. V. Antonenko United States	19	8.1k 1.4×	988 1.0×	1.0k 1.1×	1.1k 1.4×	408 0.7×	43	10.5k
Domenico Mavilio Italy	42	4.8k 0.8×	1.1k 1.0×	1.3k 1.3×	636 0.8×	352 0.6×	118	6.3k
Niklas K. Björkström Sweden	42	4.4k 0.7×	1.5k 1.5×	996 1.0×	433 0.6×	647 1.1×	118	6.1k
Elisabetta Traggiai Italy	32	3.1k 0.5×	699 0.7×	863 0.9×	1.3k 1.6×	815 1.4×	67	5.7k
Linde Meyaard Netherlands	47	4.3k 0.7×	995 1.0×	855 0.9×	1.0k 1.3×	699 1.2×	120	6.4k
Derek Middleton United Kingdom	49	7.4k 1.2×	960 0.9×	947 1.0×	1.2k 1.6×	571 1.0×	283	10.5k
Jason K. Whitmire United States	43	4.0k 0.7×	954 0.9×	664 0.7×	907 1.2×	778 1.4×	77	5.6k
Michelle A. Linterman United Kingdom	39	5.7k 1.0×	532 0.5×	898 0.9×	1.1k 1.4×	471 0.8×	76	7.2k
Ross M. Kedl United States	46	7.4k 1.3×	1.1k 1.1×	1.8k 1.9×	1.8k 2.4×	630 1.1×	119	9.4k

Countries citing papers authored by Jakob Michaëlsson

Since Specialization

Citations

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

Fields of papers citing papers by Jakob Michaëlsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Michaëlsson

This figure shows the co-authorship network connecting the top 25 collaborators of Jakob Michaëlsson. A scholar is included among the top collaborators of Jakob Michaëlsson 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 Jakob Michaëlsson. Jakob Michaëlsson 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

Boulouis, Caroline, Thomas Müller, Jeffrey Y. W. Mak, et al.. (2025). Human MAIT cell response profiles biased toward IL-17 or IL-10 are distinct effector states directed by the cytokine milieu. Proceedings of the National Academy of Sciences. 122(6). e2414230122–e2414230122. 8 indexed citations

Filipovic, Iva, Dan Sun, Martin Cornillet, et al.. (2024). Tissue-specific nonheritable influences drive endometrial immune system variation. Science Immunology. 9(94). eadj7168–eadj7168. 4 indexed citations

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

Hård, Joanna, Jeff E. Mold, Jesper Eisfeldt, et al.. (2023). Long-read whole-genome analysis of human single cells. Nature Communications. 14(1). 5164–5164. 25 indexed citations

Engblom, Camilla, Kim Thrane, Alma Andersson, et al.. (2023). Spatial transcriptomics of B cell and T cell receptors reveals lymphocyte clonal dynamics. Science. 382(6675). eadf8486–eadf8486. 59 indexed citations

Brownlie, Demi, Jeff E. Mold, Joanna Hård, et al.. (2021). Expansions of adaptive-like NK cells with a tissue-resident phenotype in human lung and blood. Proceedings of the National Academy of Sciences. 118(11). 49 indexed citations

Evren, Elza, Emma Ringqvist, Kumar Parijat Tripathi, et al.. (2020). Distinct developmental pathways from blood monocytes generate human lung macrophage diversity. Immunity. 54(2). 259–275.e7. 113 indexed citations

Mold, Jeff E., Pedro Réu, Axel Olin, et al.. (2019). Cell generation dynamics underlying naive T-cell homeostasis in adult humans. PLoS Biology. 17(10). e3000383–e3000383. 47 indexed citations

Lampen, Margit H., Hannes Uchtenhagen, Kim Blom, et al.. (2018). Breadth and Dynamics of HLA-A2– and HLA-B7–Restricted CD8+ T Cell Responses against Nonstructural Viral Proteins in Acute Human Tick-Borne Encephalitis Virus Infection. ImmunoHorizons. 2(6). 172–184. 13 indexed citations

10.

Forkel, Marianne, Lena Berglin, Eliisa Kekäläinen, et al.. (2017). Composition and functionality of the intrahepatic innate lymphoid cell‐compartment in human nonfibrotic and fibrotic livers. European Journal of Immunology. 47(8). 1280–1294. 55 indexed citations

11.

Marquardt, Nicole, Vivien Béziat, Sanna Nyström, et al.. (2015). Cutting Edge: Identification and Characterization of Human Intrahepatic CD49a+ NK Cells. The Journal of Immunology. 194(6). 2467–2471. 199 indexed citations

12.

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

13.

Mold, Jeff E., Shivkumar Venkatasubrahmanyam, Trevor D. Burt, et al.. (2010). Fetal and Adult Hematopoietic Stem Cells Give Rise to Distinct T Cell Lineages in Humans. Science. 330(6011). 1695–1699. 332 indexed citations

14.

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

15.

Mold, Jeff E., Jakob Michaëlsson, Trevor D. Burt, et al.. (2008). Maternal Alloantigens Promote the Development of Tolerogenic Fetal Regulatory T Cells in Utero. Science. 322(5907). 1562–1565. 625 indexed citations breakdown →

16.

Long, Brian, Jakob Michaëlsson, Christopher P. Loo, et al.. (2007). Elevated Frequency of Gamma Interferon-Producing NK Cells in Healthy Adults Vaccinated against Influenza Virus. Clinical and Vaccine Immunology. 15(1). 120–130. 56 indexed citations

17.

Michaëlsson, Jakob, et al.. (2004). Determination of Structural Principles Underlying Three Different Modes of Lymphocytic Choriomeningitis Virus Escape from CTL Recognition. The Journal of Immunology. 172(9). 5504–5511. 36 indexed citations

18.

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

19.

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

20.

Kambayashi, Taku, Erika Assarsson, Jakob Michaëlsson, et al.. (2000). Emergence of CD8+ T Cells Expressing NK Cell Receptors in Influenza A Virus-Infected Mice. The Journal of Immunology. 165(9). 4964–4969. 95 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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