Karin Hägerbrand

49 total papers · 885 total citations
16 papers, 663 citations indexed

About

Karin Hägerbrand is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Karin Hägerbrand has authored 16 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Karin Hägerbrand's work include Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Karin Hägerbrand is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Karin Hägerbrand collaborates with scholars based in Sweden, Denmark and United States. Karin Hägerbrand's co-authors include William W. Agace, Aymeric Rivollier, Emma K. Persson, Ulf Håkansson, Boris Reizis, Heli Uronen‐Hansson, Knut Kotarsky, Sigurður Guðjónsson, Monika Semmrich and Jan Marsal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and The Journal of Immunology.

In The Last Decade

Karin Hägerbrand

14 papers receiving 661 citations

Hit Papers

IRF4 Transcription-Factor... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Karin Hägerbrand 547 155 116 40 38 16 663
K J Hardy 358 0.7× 136 0.9× 186 1.6× 45 1.1× 27 0.7× 15 569
Vijay Kuchroo 519 0.9× 133 0.9× 93 0.8× 63 1.6× 41 1.1× 15 696
Aiko‐Konno Shirakawa 431 0.8× 171 1.1× 93 0.8× 27 0.7× 21 0.6× 14 590
Daniela Rožková 528 1.0× 172 1.1× 119 1.0× 102 2.5× 19 0.5× 18 749
Ryan J. Martinez 585 1.1× 151 1.0× 142 1.2× 44 1.1× 39 1.0× 27 767
Yasmin Reyal 530 1.0× 80 0.5× 186 1.6× 45 1.1× 24 0.6× 14 728
W. Roy Overton 317 0.6× 143 0.9× 184 1.6× 57 1.4× 63 1.7× 16 682
Philippe Kourilsky 612 1.1× 128 0.8× 105 0.9× 79 2.0× 74 1.9× 9 771
Victoria L. Wilkinson 452 0.8× 148 1.0× 98 0.8× 55 1.4× 53 1.4× 11 650
Sandra Düber 655 1.2× 64 0.4× 134 1.2× 45 1.1× 25 0.7× 13 768

Countries citing papers authored by Karin Hägerbrand

Since Specialization
Citations

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

Fields of papers citing papers by Karin Hägerbrand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Hägerbrand

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

All Works

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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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