Anna Juncker‐Jensen

1.0k total citations
26 papers, 789 citations indexed

About

Anna Juncker‐Jensen is a scholar working on Oncology, Cancer Research and Immunology. According to data from OpenAlex, Anna Juncker‐Jensen has authored 26 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Cancer Research and 11 papers in Immunology. Recurrent topics in Anna Juncker‐Jensen's work include Immune cells in cancer (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Anna Juncker‐Jensen is often cited by papers focused on Immune cells in cancer (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Anna Juncker‐Jensen collaborates with scholars based in United States, Denmark and United Kingdom. Anna Juncker‐Jensen's co-authors include Tatyana A. Kupriyanova, James P. Quigley, Ewa Zając, Elena I. Deryugina, Lisa Welter, Bernhard Schweighofer, Petra Minder, Leif R. Lund, John Rømer and Kasper Almholt and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Anna Juncker‐Jensen

24 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Juncker‐Jensen United States 11 291 283 256 236 71 26 789
Yolanda Campos‐Martín Spain 16 297 1.0× 568 2.0× 311 1.2× 350 1.5× 28 0.4× 25 1.2k
Kevin P. Corke United Kingdom 8 332 1.1× 366 1.3× 215 0.8× 355 1.5× 34 0.5× 10 835
Roger Mouawad France 21 208 0.7× 523 1.8× 308 1.2× 177 0.8× 44 0.6× 57 968
Elisa Corsiero United Kingdom 12 468 1.6× 340 1.2× 115 0.4× 75 0.3× 93 1.3× 25 995
Marcela F. Bolontrade Argentina 18 82 0.3× 463 1.6× 309 1.2× 249 1.1× 63 0.9× 28 927
Guangbo Zhang China 20 467 1.6× 280 1.0× 561 2.2× 195 0.8× 21 0.3× 55 1.2k
Raluca Amalia Ceauşu Romania 16 158 0.5× 327 1.2× 251 1.0× 122 0.5× 27 0.4× 84 748
Eva Allonca Spain 23 114 0.4× 570 2.0× 410 1.6× 269 1.1× 107 1.5× 46 1.1k
S Fuggle United Kingdom 15 354 1.2× 458 1.6× 186 0.7× 208 0.9× 36 0.5× 25 1.2k

Countries citing papers authored by Anna Juncker‐Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Anna Juncker‐Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Juncker‐Jensen. 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 Anna Juncker‐Jensen. The network helps show where Anna Juncker‐Jensen may publish in the future.

Co-authorship network of co-authors of Anna Juncker‐Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Juncker‐Jensen. A scholar is included among the top collaborators of Anna Juncker‐Jensen 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 Anna Juncker‐Jensen. Anna Juncker‐Jensen 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.
Huang, Gang, Zhuo Zhao, Anna Juncker‐Jensen, et al.. (2023). CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification. IEEE Transactions on Medical Imaging. 42(11). 3179–3193. 14 indexed citations
2.
3.
Kendall, Timothy J., Frances Turner, Prakash Ramachandran, et al.. (2023). An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease. Nature Medicine. 29(11). 2939–2953. 35 indexed citations
4.
Brown, Janet E., et al.. (2023). Changes in the immune landscape of TNBC after neoadjuvant chemotherapy: correlation with relapse. Frontiers in Immunology. 14. 1291643–1291643. 3 indexed citations
5.
Liu, Yueying, Jing Yang, Tyvette S. Hilliard, et al.. (2023). Host obesity alters the ovarian tumor immune microenvironment and impacts response to standard of care chemotherapy. Journal of Experimental & Clinical Cancer Research. 42(1). 165–165. 16 indexed citations
6.
Juncker‐Jensen, Anna, et al.. (2019). Abstract LB-C18: An integrated multiplexing approach for the immunoprofiling of the tumor microenvironment of ovarian granulosa cell tumors. Molecular Cancer Therapeutics. 18(12_Supplement). LB–C18. 1 indexed citations
7.
Juncker‐Jensen, Anna, et al.. (2019). Using a multiplexed immunofluorescence approach to compare immune cell populations in subtypes of non-small cell lung cancer.. Journal of Clinical Oncology. 37(15_suppl). e20702–e20702. 3 indexed citations
8.
Juncker‐Jensen, Anna, et al.. (2019). Quantitative image profiling of the tumor microenvironment on double stained immunohistochemistry images using deep learning.. Journal of Clinical Oncology. 37(15_suppl). e14619–e14619. 2 indexed citations
9.
Juncker‐Jensen, Anna, et al.. (2019). PD-1 and LAG-3 synergize to drive tumour-infiltration of T cytotoxic cells in NSCLC tumours. Annals of Oncology. 30. xi48–xi49. 2 indexed citations
10.
Juncker‐Jensen, Anna, et al.. (2019). Abstract 1175: A pro-tumorigenic mechanism of M2 tumor-associated macrophages in triple-negative breast cancer. Cancer Research. 79(13_Supplement). 1175–1175. 1 indexed citations
11.
12.
Deryugina, Elena I., Ewa Zając, Anna Juncker‐Jensen, et al.. (2014). Tissue-Infiltrating Neutrophils Constitute the Major In Vivo Source of Angiogenesis-Inducing MMP-9 in the Tumor Microenvironment. Neoplasia. 16(10). 771–788. 244 indexed citations
13.
Juncker‐Jensen, Anna, Elena I. Deryugina, Ivo Rimann, et al.. (2013). Tumor MMP-1 Activates Endothelial PAR1 to Facilitate Vascular Intravasation and Metastatic Dissemination. Cancer Research. 73(14). 4196–4211. 70 indexed citations
14.
Zając, Ewa, Bernhard Schweighofer, Tatyana A. Kupriyanova, et al.. (2013). Angiogenic capacity of M1- and M2-polarized macrophages is determined by the levels of TIMP-1 complexed with their secreted proMMP-9. Blood. 122(25). 4054–4067. 213 indexed citations
15.
Glenthøj, Andreas, Anna Juncker‐Jensen, Lars H. Engelholm, et al.. (2012). No Effect of NGAL/lipocalin-2 on Aggressiveness of Cancer in the MMTV-PyMT/FVB/N Mouse Model for Breast Cancer. PLoS ONE. 7(6). e39646–e39646. 22 indexed citations
16.
Juncker‐Jensen, Anna & Leif R. Lund. (2011). Phenotypic Overlap between MMP-13 and the Plasminogen Activation System during Wound Healing in Mice. PLoS ONE. 6(2). e16954–e16954. 23 indexed citations
17.
Juncker‐Jensen, Anna, John Rømer, Caroline J. Pennington, Leif R. Lund, & Kasper Almholt. (2008). Spontaneous metastasis in matrix metalloproteinase 3‐deficient mice. Molecular Carcinogenesis. 48(7). 618–625. 9 indexed citations
18.
Almholt, Kasper, Anna Juncker‐Jensen, Ole Didrik Lærum, et al.. (2008). Metastasis is strongly reduced by the matrix metalloproteinase inhibitor Galardin in the MMTV-PymT transgenic breast cancer model. Molecular Cancer Therapeutics. 7(9). 2758–2767. 43 indexed citations
19.
Almholt, Kasper, et al.. (2007). Extracellular Proteolysis in Transgenic Mouse Models of Breast Cancer. Journal of Mammary Gland Biology and Neoplasia. 12(1). 83–97. 33 indexed citations
20.
Juncker‐Jensen, Anna, et al.. (2006). Insulin-like growth factor binding protein 2 is a marker for antiestrogen resistant human breast cancer cell lines but is not a major growth regulator. Growth Hormone & IGF Research. 16(4). 224–239. 38 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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