Kanutte Huse

2.1k total citations
25 papers, 560 citations indexed

About

Kanutte Huse is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Kanutte Huse has authored 25 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 11 papers in Immunology and 10 papers in Molecular Biology. Recurrent topics in Kanutte Huse's work include Cancer Immunotherapy and Biomarkers (8 papers), TGF-β signaling in diseases (7 papers) and Immune Cell Function and Interaction (7 papers). Kanutte Huse is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), TGF-β signaling in diseases (7 papers) and Immune Cell Function and Interaction (7 papers). Kanutte Huse collaborates with scholars based in Norway, United States and Finland. Kanutte Huse's co-authors include Erlend B. Smeland, June H. Myklebust, Morten P. Oksvold, Jonathan M. Irish, Arne Kolstad, Sébastien Wälchli, Klaus Beiske, Ole Christian Lingjærde, Bjørn Østenstad and Lise Forfang and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kanutte Huse

25 papers receiving 554 citations

Peers

Kanutte Huse

ONCOL

IMMUN

PFM

GENET

Maria Veri Italy

Toshiko Yamochi Japan

Fredrik Ellin Sweden

Chiara Dell’Agnola Italy

Anouk Demunter Belgium

Catherine Gaudin France

Ileana Bortolomai Italy

Li-Na Zhou China

Arvind Chaudhry United States

Lynh Nguyen United States

Maria Veri Italy

Kanutte Huse

270 ×0.9

ONCOL

202 ×0.8

IMMUN

220 ×0.9

122 ×1.1

PFM

16 ×0.3

GENET

Citations per year, relative to Kanutte Huse Kanutte Huse (= 1×) peers Maria Veri

Countries citing papers authored by Kanutte Huse

Since Specialization

Citations

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

Fields of papers citing papers by Kanutte Huse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanutte Huse

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

Meriranta, Leo, Kanutte Huse, Xiaonan Liu, et al.. (2024). Disruption of KLHL6 Fuels Oncogenic Antigen Receptor Signaling in B-Cell Lymphoma. Blood Cancer Discovery. 5(5). 331–352. 3 indexed citations

Huse, Kanutte, et al.. (2024). The Tumor Immune Microenvironment in Breast Cancer Progression. Acta Oncologica. 63. 359–367. 8 indexed citations

Chauhan, Sudhir Kumar, Bjørnar Gilje, Sunil Xavier Raj, et al.. (2024). Peripheral immune cells in metastatic breast cancer patients display a systemic immunosuppressed signature consistent with chronic inflammation. npj Breast Cancer. 10(1). 30–30. 7 indexed citations

Huse, Kanutte, Baoyan Bai, Thea Kristin Våtsveen, et al.. (2022). Mechanism of CD79A and CD79B Support for IgM+ B Cell Fitness through B Cell Receptor Surface Expression. The Journal of Immunology. 209(10). 2042–2053. 32 indexed citations

Rye, Inga Hansine, Kanutte Huse, Wanja Kildal, et al.. (2021). Breast cancer metastasis: immune profiling of lymph nodes reveals exhaustion of effector T cells and immunosuppression. Molecular Oncology. 16(1). 88–103. 27 indexed citations

Bostad, Monica, et al.. (2020). Cell Cycle Analysis and Relevance for Single‐Cell Gating in Mass Cytometry. Cytometry Part A. 97(8). 832–844. 15 indexed citations

Blaker, Yngvild Nuvin, Chloé B. Steen, Ankush Sharma, et al.. (2020). Heterogeneity of Regulatory T Cells in B-Cell Non-Hodgkin Lymphoma. Blood. 136(Supplement 1). 27–28. 2 indexed citations

Namork, Ellen, Eva Stylianou, Kanutte Huse, et al.. (2020). Reduced polyfunctional T cells and increased cellular activation markers in adult allergy patients reporting adverse reactions to food. BMC Immunology. 21(1). 43–43. 3 indexed citations

Beiske, Klaus, Yngvild Nuvin Blaker, Harald Holte, et al.. (2019). TIGIT and PD-1 Mark Intratumoral T Cells with Reduced Effector Function in B-cell Non-Hodgkin Lymphoma. Cancer Immunology Research. 7(3). 355–362. 82 indexed citations

10.

Köksal, Hakan, Pierre Dillard, Sólrún Melkorka Maggadóttir, et al.. (2019). Preclinical development of CD37CAR T-cell therapy for treatment of B-cell lymphoma. Blood Advances. 3(8). 1230–1243. 39 indexed citations

11.

Huse, Kanutte, Hannah G. Polikowsky, Kirsten E. Diggins, et al.. (2019). Human Germinal Center B Cells Differ from Naïve and Memory B Cells in CD40 Expression and CD40L‐Induced Signaling Response. Cytometry Part A. 95(4). 442–449. 9 indexed citations

12.

Huse, Kanutte, Arne Kolstad, Klaus Beiske, et al.. (2017). T Cells Expressing Checkpoint Receptor TIGIT Are Enriched in Follicular Lymphoma Tumors and Characterized by Reversible Suppression of T-cell Receptor Signaling. Clinical Cancer Research. 24(4). 870–881. 76 indexed citations

13.

Huse, Kanutte, Morten P. Oksvold, Baoyan Bai, et al.. (2017). BMP-7 induces apoptosis in human germinal center B cells and is influenced by TGF-β receptor type I ALK5. PLoS ONE. 12(5). e0177188–e0177188. 18 indexed citations

14.

Greenplate, Allison R., et al.. (2016). Mass Cytometry of Follicular Lymphoma Tumors Reveals Intrinsic Heterogeneity in Proteins Including HLA‐DR and a Deficit in Nonmalignant Plasmablast and Germinal Center B‐Cell Populations. Cytometry Part B Clinical Cytometry. 92(1). 79–87. 14 indexed citations

15.

Polikowsky, Hannah G., et al.. (2015). Cutting Edge: Redox Signaling Hypersensitivity Distinguishes Human Germinal Center B Cells. The Journal of Immunology. 195(4). 1364–1367. 28 indexed citations

16.

Huse, Kanutte, Sébastien Wälchli, Morten P. Oksvold, et al.. (2012). Role of Smad Proteins in Resistance to BMP-Induced Growth Inhibition in B-Cell Lymphoma. PLoS ONE. 7(10). e46117–e46117. 19 indexed citations

17.

Huse, Kanutte, et al.. (2012). SARA is dispensable for functional TGF‐β signaling. FEBS Letters. 586(19). 3367–3372. 28 indexed citations

18.

Huse, Kanutte, Morten P. Oksvold, Lise Forfang, et al.. (2011). Bone morphogenetic proteins inhibit CD40L/IL‐21‐induced Ig production in human Bcells: Differential effects of BMP‐6 and BMP‐7. European Journal of Immunology. 41(11). 3135–3145. 26 indexed citations

19.

Huse, Kanutte, et al.. (2010). TGF-β-induced growth inhibition in B-cell lymphoma correlates with Smad1/5 signalling and constitutively active p38 MAPK. BMC Immunology. 11(1). 57–57. 43 indexed citations

20.

Sivertsen, Einar Andreas, Kanutte Huse, Marit E. Hystad, et al.. (2007). Inhibitory effects and target genes of bone morphogenetic protein 6 in Jurkat TAg cells. European Journal of Immunology. 37(10). 2937–2948. 36 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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