Annika Håkansson

472 total citations
23 papers, 388 citations indexed

About

Annika Håkansson is a scholar working on Immunology, Oncology and Immunology and Allergy. According to data from OpenAlex, Annika Håkansson has authored 23 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 13 papers in Oncology and 4 papers in Immunology and Allergy. Recurrent topics in Annika Håkansson's work include Immunotherapy and Immune Responses (12 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cutaneous Melanoma Detection and Management (4 papers). Annika Håkansson is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cutaneous Melanoma Detection and Management (4 papers). Annika Håkansson collaborates with scholars based in Sweden, Netherlands and United States. Annika Håkansson's co-authors include Bertil Gustafsson, Leif Håkansson, Lennart Krysander, Leif Bergkvist, Bjarne U. Hansen, R.F. Öien, Monique R. Bernsen, M Bjellerup, Leif Håkansson and Bertil Kågedal and has published in prestigious journals such as The Journal of Immunology, Cancer and British Journal of Cancer.

In The Last Decade

Annika Håkansson

20 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annika Håkansson Sweden 12 224 207 93 32 30 23 388
M A A Al-Rawi United Kingdom 9 106 0.5× 220 1.1× 144 1.5× 62 1.9× 16 0.5× 9 375
Hyun-Joo Lee South Korea 7 136 0.6× 151 0.7× 73 0.8× 61 1.9× 28 0.9× 13 312
Eggermont Am Netherlands 8 88 0.4× 216 1.0× 108 1.2× 38 1.2× 34 1.1× 12 317
David Rafei‐Shamsabadi Germany 10 105 0.5× 122 0.6× 88 0.9× 26 0.8× 10 0.3× 25 356
Tiziana Fraone Italy 7 229 1.0× 64 0.3× 99 1.1× 26 0.8× 23 0.8× 8 349
Hanne Locy Belgium 9 207 0.9× 221 1.1× 129 1.4× 24 0.8× 22 0.7× 11 417
Vladimir Janković United States 9 90 0.4× 94 0.5× 92 1.0× 21 0.7× 65 2.2× 19 275
Jonathan Caron France 9 176 0.8× 106 0.5× 110 1.2× 18 0.6× 23 0.8× 16 317
Alana M. Neale Australia 7 266 1.2× 148 0.7× 165 1.8× 30 0.9× 17 0.6× 8 386
Giuseppe Tortolina Italy 8 298 1.3× 109 0.5× 134 1.4× 20 0.6× 22 0.7× 9 416

Countries citing papers authored by Annika Håkansson

Since Specialization
Citations

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

Fields of papers citing papers by Annika Håkansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Håkansson

This figure shows the co-authorship network connecting the top 25 collaborators of Annika Håkansson. A scholar is included among the top collaborators of Annika Håkansson 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 Annika Håkansson. Annika Håkansson 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.
2.
Håkansson, Leif, Pontus Dunér, Erik Broströmer, et al.. (2024). A New IL-6-Inducing Mechanism in Cancer with New Therapeutic Possibilities. Cancers. 16(21). 3588–3588.
3.
Mattsson, Jan, Leif Bergkvist, Avni Abdiu, et al.. (2008). Sentinel node biopsy in malignant melanoma: Swedish experiences 1997–2005. Acta Oncologica. 47(8). 1519–1525. 16 indexed citations
4.
Clinchy, Birgitta, et al.. (2007). Pre-operative interleukin-6 production by mononuclear blood cells predicts survival after radical surgery for colorectal carcinoma (49.31). The Journal of Immunology. 178(1_Supplement). S89–S89.
5.
Kågedal, Bertil, et al.. (2007). How useful are housekeeping genes? Variable expression in melanoma metastases. Clinical Chemistry and Laboratory Medicine (CCLM). 45(11). 1481–7. 5 indexed citations
6.
7.
Clinchy, Birgitta, et al.. (2006). Production of IL-1Ra by human mononuclear blood cells in vitro: Influence of serum factors. Cytokine. 34(5-6). 320–330. 5 indexed citations
8.
Bergkvist, Leif, et al.. (2004). CD28 expression in sentinel node biopsies from breast cancer patients in comparison with CD3-ζ chain expression. Journal of Translational Medicine. 2(1). 45–45. 24 indexed citations
9.
Bernsen, Monique R., Toon F.C.M. Smetsers, Dirk J. Ruiter, et al.. (2003). Heparan sulphate epitope–expression is associated with the inflammatory response in metastatic malignant melanoma. Cancer Immunology Immunotherapy. 52(12). 780–783. 10 indexed citations
10.
Bernsen, Monique R., et al.. (2003). On the biological relevance of MHC class II and B7 expression by tumour cells in melanoma metastases. British Journal of Cancer. 88(3). 424–431. 41 indexed citations
11.
Håkansson, Annika, Bertil Gustafsson, Avni Abdiu, Lennart Krysander, & Leif Håkansson. (2003). Bcl-2 expression in metastatic malignant melanoma. Importance for the therapeutic efficacy of biochemotherapy. Cancer Immunology Immunotherapy. 52(4). 249–254. 12 indexed citations
12.
Håkansson, Annika, Leif Håkansson, Bertil Gustafsson, et al.. (2002). Biochemotherapy of metastatic malignant melanoma. On down-regulation of CD28. Cancer Immunology Immunotherapy. 51(9). 499–504. 15 indexed citations
13.
Bergkvist, Leif, et al.. (2002). Down-regulation of the CD3-ζ chain in sentinel node biopsies from breast cancer patients. Breast Cancer Research and Treatment. 74(1). 33–40. 29 indexed citations
14.
Håkansson, Annika, et al.. (2001). Biochemotherapy of metastatic malignant melanoma. Predictive value of tumour-infiltrating lymphocytes. British Journal of Cancer. 85(12). 1871–1877. 24 indexed citations
15.
Johansson, Malin, et al.. (2000). Quantitative analysis of tyrosinase and tyrosinase-related protein-2 mRNA from melanoma cells in blood by real-time polymerase chain reaction. Melanoma Research. 10(3). 213–222. 10 indexed citations
16.
Håkansson, Annika, et al.. (1999). Expression of ICAM-1 During IFN-alpha-Based Treatment of Metastatic Malignant Melanoma: Relation to Tumor-Infiltrating Mononuclear Cells and Regressive Tumor Changes. Journal of Interferon & Cytokine Research. 19(2). 171–177. 7 indexed citations
17.
Håkansson, Annika, et al.. (1999). On down-regulation of the immune response to metastatic malignant melanoma. Cancer Immunology Immunotherapy. 48(5). 253–262. 11 indexed citations
18.
Håkansson, Annika, Bertil Gustafsson, Lennart Krysander, & Leif Håkansson. (1998). Effect of IFN-α on Tumor-Infiltrating Mononuclear Cells and Regressive Changes in Metastatic Malignant Melanoma. Journal of Interferon & Cytokine Research. 18(1). 33–39. 35 indexed citations
19.
Håkansson, Annika, et al.. (1997). Effect of interferon-α on the expression of tumour necrosis factor-α by metastatic malignant melanoma in vivo. Melanoma Research. 7(2). 139–146. 8 indexed citations
20.
Håkansson, Annika, Bertil Gustafsson, Lennart Krysander, & Leif Håkansson. (1996). Tumour-infiltrating lymphocytes in metastatic malignant melanoma and response to interferon alpha treatment. British Journal of Cancer. 74(5). 670–676. 72 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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