Annika Jögi

2.0k total citations
30 papers, 1.6k citations indexed

About

Annika Jögi is a scholar working on Cancer Research, Molecular Biology and Neurology. According to data from OpenAlex, Annika Jögi has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cancer Research, 12 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Annika Jögi's work include Cancer, Hypoxia, and Metabolism (15 papers), Neuroblastoma Research and Treatments (10 papers) and Cancer Cells and Metastasis (4 papers). Annika Jögi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (15 papers), Neuroblastoma Research and Treatments (10 papers) and Cancer Cells and Metastasis (4 papers). Annika Jögi collaborates with scholars based in Sweden, Denmark and Ireland. Annika Jögi's co-authors include Sven Påhlman, Håkan Axelson, Lorenz Poellinger, Helén Nilsson, Ingrid Øra, Yuichi Makino, Siv Beckman, Martin Johansson, Linda Holmquist Mengelbier and Göran Landberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Annika Jögi

29 papers receiving 1.6k citations

Peers

Annika Jögi

ONCOL

NEURO

GENET

Linda Holmquist Mengelbier Sweden

Alexandre Chlenski United States

Tobias Löfstedt Sweden

Daniel Bexell Sweden

Carlo Dominici Italy

Alexander Pietras Sweden

Yvan H. Chanthery United States

Bárbara Meléndez Spain

Panthea Taghavi Netherlands

Atsuhisa Nakano Japan

Linda Holmquist Mengelbier Sweden

Annika Jögi

943 ×1.0

832 ×1.0

297 ×0.7

ONCOL

290 ×1.0

NEURO

136 ×1.0

GENET

Citations per year, relative to Annika Jögi Annika Jögi (= 1×) peers Linda Holmquist Mengelbier

Countries citing papers authored by Annika Jögi

Since Specialization

Citations

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

Fields of papers citing papers by Annika Jögi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Jögi

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

Jögi, Annika, Kristin Johnson, Anna Åkesson, et al.. (2024). Assessing Digital Breast Tomosynthesis Impact on Early Cancer Detection: Insights from Consecutive Screening. Radiology. 312(1). e233417–e233417.

Sjöström, Martin, Erik Holmberg, Per Karlsson, et al.. (2022). Breast cancer hypoxia in relation to prognosis and benefit from radiotherapy after breast-conserving surgery in a large, randomised trial with long-term follow-up. British Journal of Cancer. 126(8). 1145–1156. 34 indexed citations

Jögi, Annika, Anna Ehinger, Linda Hartman, & Sara Alkner. (2019). Expression of HIF-1α is related to a poor prognosis and tamoxifen resistance in contralateral breast cancer. PLoS ONE. 14(12). e0226150–e0226150. 60 indexed citations

Mohlin, Sofie, Caroline Wigerup, Annika Jögi, & Sven Påhlman. (2017). Hypoxia, pseudohypoxia and cellular differentiation. Experimental Cell Research. 356(2). 192–196. 44 indexed citations

Persson, C., Julhash U. Kazi, Lars Rönnstrand, et al.. (2016). HIF2α contributes to antiestrogen resistance via positive bilateral crosstalk with EGFR in breast cancer cells. Oncotarget. 7(10). 11238–11250. 19 indexed citations

Almholt, Kasper, Ole Didrik Lærum, Boye Schnack Nielsen, et al.. (2015). Spontaneous lung and lymph node metastasis in transgenic breast cancer is independent of the urokinase receptor uPAR. Clinical & Experimental Metastasis. 32(6). 543–554. 5 indexed citations

Påhlman, Sven, Leif R. Lund, & Annika Jögi. (2015). Differential HIF-1α and HIF-2α Expression in Mammary Epithelial Cells during Fat Pad Invasion, Lactation, and Involution. PLoS ONE. 10(5). e0125771–e0125771. 15 indexed citations

Larsson, Anna-Maria, Caroline Wigerup, Jianmin Sun, et al.. (2014). EPO-independent functional EPO receptor in breast cancer enhances estrogen receptor activity and promotes cell proliferation. Biochemical and Biophysical Research Communications. 445(1). 163–169. 17 indexed citations

Jögi, Annika, et al.. (2012). Cancer cell differentiation heterogeneity and aggressive behavior in solid tumors. Upsala Journal of Medical Sciences. 117(2). 217–224. 150 indexed citations

10.

Villadsen, René, Ole W. Petersen, Elisabet Johansson, et al.. (2012). Hypoxic Conditions Induce a Cancer-Like Phenotype in Human Breast Epithelial Cells. PLoS ONE. 7(9). e46543–e46543. 31 indexed citations

11.

Cornmark, Louise, et al.. (2011). Protein kinase Cα suppresses the expression of STC1 in MDA-MB-231 breast cancer cells. Tumor Biology. 32(5). 1023–1030. 7 indexed citations

12.

Jögi, Annika, Birgitte Rønø, Ida Katrine Lund, et al.. (2010). Neutralisation of uPA with a Monoclonal Antibody Reduces Plasmin Formation and Delays Skin Wound Healing in tPA-Deficient Mice. PLoS ONE. 5(9). e12746–e12746. 22 indexed citations

13.

Jögi, Annika, Donal J. Brennan, Lisa Rydén, et al.. (2009). Nuclear expression of the RNA-binding protein RBM3 is associated with an improved clinical outcome in breast cancer. Modern Pathology. 22(12). 1564–1574. 68 indexed citations

14.

Lund, Ida Katrine, Annika Jögi, Birgitte Rønø, et al.. (2008). Antibody-mediated Targeting of the Urokinase-type Plasminogen Activator Proteolytic Function Neutralizes Fibrinolysis in Vivo. Journal of Biological Chemistry. 283(47). 32506–32515. 33 indexed citations

15.

Borgquist, Signe, Annika Jögi, Fredrik Pontén, et al.. (2008). Prognostic impact of tumour-specific HMG-CoA reductase expression in primary breast cancer. Breast Cancer Research. 10(5). R79–R79. 53 indexed citations

16.

Jögi, Annika, Jesper Pass, Gunilla Høyer‐Hansen, et al.. (2007). Systemic administration of anti‐urokinase plasminogen activator receptor monoclonal antibodies induces hepatic fibrin deposition in tissue‐type plasminogen activator deficient mice. Journal of Thrombosis and Haemostasis. 5(9). 1936–1944. 16 indexed citations

17.

Löfstedt, Tobias, Annika Jögi, Mikael Sigvardsson, et al.. (2004). Induction of ID2 Expression by Hypoxia-inducible Factor-1. Journal of Biological Chemistry. 279(38). 39223–39231. 114 indexed citations

18.

Jögi, Annika, Johan Vallon‐Christersson, Linda Holmquist Mengelbier, et al.. (2004). Human neuroblastoma cells exposed to hypoxia: induction of genes associated with growth, survival, and aggressive behavior. Experimental Cell Research. 295(2). 469–487. 103 indexed citations

19.

Nilsson, Helén, Annika Jögi, Siv Beckman, et al.. (2004). HIF-2α expression in human fetal paraganglia and neuroblastoma: relation to sympathetic differentiation, glucose deficiency, and hypoxia. Experimental Cell Research. 303(2). 447–456. 63 indexed citations

20.

Jögi, Annika, Ingrid Øra, Helén Nilsson, et al.. (2003). Hypoxia-induced dedifferentiation in neuroblastoma cells. Cancer Letters. 197(1-2). 145–150. 39 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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