Anna C. Navis

991 total citations
18 papers, 685 citations indexed

About

Anna C. Navis is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Anna C. Navis has authored 18 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Anna C. Navis's work include Glioma Diagnosis and Treatment (10 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Protein Tyrosine Phosphatases (3 papers). Anna C. Navis is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Protein Tyrosine Phosphatases (3 papers). Anna C. Navis collaborates with scholars based in Netherlands, United States and Germany. Anna C. Navis's co-authors include William P. J. Leenders, Pieter Wesseling, Wiljan Hendriks, Arend Heerschap, Bob C. Hamans, Sanne A. M. van Lith, Alan J. Wright, Jan Schepens, Kiek Verrijp and Rob Hooft van Huijsduijnen and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Cell Biology.

In The Last Decade

Anna C. Navis

18 papers receiving 682 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 C. Navis Netherlands 16 370 256 236 129 93 18 685
Lara Perryman United Kingdom 13 516 1.4× 327 1.3× 204 0.9× 170 1.3× 73 0.8× 19 850
Tina Zheng United States 4 305 0.8× 205 0.8× 159 0.7× 158 1.2× 110 1.2× 7 626
Matthew Smith-Cohn United States 7 354 1.0× 274 1.1× 246 1.0× 82 0.6× 85 0.9× 11 643
Han Shen Australia 16 494 1.3× 185 0.7× 263 1.1× 128 1.0× 61 0.7× 37 760
Matthew S. Waitkus United States 13 429 1.2× 337 1.3× 287 1.2× 133 1.0× 87 0.9× 25 776
Myriam Maoz Israel 17 428 1.2× 156 0.6× 298 1.3× 180 1.4× 70 0.8× 30 902
Wolfgang Wick Germany 10 252 0.7× 312 1.2× 150 0.6× 112 0.9× 58 0.6× 17 665
Kiek Verrijp Netherlands 12 380 1.0× 174 0.7× 162 0.7× 195 1.5× 210 2.3× 15 774
Emmanuel Chautard France 18 515 1.4× 248 1.0× 204 0.9× 274 2.1× 99 1.1× 39 900
Fang Jia-sheng China 14 485 1.3× 269 1.1× 344 1.5× 192 1.5× 49 0.5× 26 825

Countries citing papers authored by Anna C. Navis

Since Specialization
Citations

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

Fields of papers citing papers by Anna C. Navis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna C. Navis. 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 C. Navis. The network helps show where Anna C. Navis may publish in the future.

Co-authorship network of co-authors of Anna C. Navis

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

All Works

18 of 18 papers shown
1.
Gritsenko, Pavlo G., Nader Atlasy, Cindy E. Dieteren, et al.. (2020). p120-catenin-dependent collective brain infiltration by glioma cell networks. Nature Cell Biology. 22(1). 97–107. 81 indexed citations
2.
Blanchart, Albert, Anna C. Navis, Natália Assaife‐Lopes, et al.. (2018). UHRF1 Licensed Self-Renewal of Active Adult Neural Stem Cells. Stem Cells. 36(11). 1736–1751. 15 indexed citations
3.
Lith, Sanne A. M. van, Sander M. J. van Duijnhoven, Anna C. Navis, et al.. (2017). Legomedicine—A Versatile Chemo-Enzymatic Approach for the Preparation of Targeted Dual-Labeled Llama Antibody–Nanoparticle Conjugates. Bioconjugate Chemistry. 28(2). 539–548. 39 indexed citations
4.
Navis, Anna C., Tessa J.J. de Bitter, Houshang Amiri, et al.. (2017). Selective MET Kinase Inhibition in MET-Dependent Glioma Models Alters Gene Expression and Induces Tumor Plasticity. Molecular Cancer Research. 15(11). 1587–1597. 6 indexed citations
5.
Verrijp, Kiek, Jan Schepens, Anna C. Navis, et al.. (2016). Comprehensive protein tyrosine phosphatase mRNA profiling identifies new regulators in the progression of glioma. Acta Neuropathologica Communications. 4(1). 96–96. 22 indexed citations
6.
Vlenterie, Myrella, Melissa H.S. Hillebrandt-Roeffen, Uta Flucke, et al.. (2016). Targeting Cyclin-Dependent Kinases in Synovial Sarcoma: Palbociclib as a Potential Treatment for Synovial Sarcoma Patients. Annals of Surgical Oncology. 23(9). 2745–2752. 32 indexed citations
7.
Lith, Sanne A. M. van, Anna C. Navis, Krissie Lenting, et al.. (2016). Identification of a novel inactivating mutation in Isocitrate Dehydrogenase 1 (IDH1-R314C) in a high grade astrocytoma. Scientific Reports. 6(1). 30486–30486. 11 indexed citations
8.
Navis, Anna C., Sanne A. M. van Lith, Sander M. J. van Duijnhoven, et al.. (2015). Identification of a novel MET mutation in high-grade glioma resulting in an auto-active intracellular protein. Acta Neuropathologica. 130(1). 131–144. 32 indexed citations
9.
Esmaeili, Morteza, Bob C. Hamans, Anna C. Navis, et al.. (2014). IDH1 R132H Mutation Generates a Distinct Phospholipid Metabolite Profile in Glioma. Cancer Research. 74(17). 4898–4907. 73 indexed citations
10.
Lith, Sanne A. M. van, Anna C. Navis, Kiek Verrijp, et al.. (2014). Glutamate as chemotactic fuel for diffuse glioma cells: Are they glutamate suckers?. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1846(1). 66–74. 45 indexed citations
11.
Caretti, Viola, A. Sewing, Tonny Lagerweij, et al.. (2014). Human pontine glioma cells can induce murine tumors. Acta Neuropathologica. 127(6). 897–909. 49 indexed citations
12.
Navis, Anna C., Jan Schepens, Kiek Verrijp, et al.. (2014). Intracellular and extracellular domains of protein tyrosine phosphatase PTPRZ-B differentially regulate glioma cell growth and motility. Oncotarget. 5(18). 8690–8702. 25 indexed citations
13.
Navis, Anna C., Pieter Wesseling, Alan J. Wright, et al.. (2013). Effects of Dual Targeting of Tumor Cells and Stroma in Human Glioblastoma Xenografts with a Tyrosine Kinase Inhibitor against c-MET and VEGFR2. PLoS ONE. 8(3). e58262–e58262. 63 indexed citations
14.
15.
Navis, Anna C., Simone P. Niclou, Fred Fack, et al.. (2013). Increased mitochondrial activity in a novel IDH1-R132H mutant human oligodendroglioma xenograft model: in situ detection of 2-HG and α-KG. Acta Neuropathologica Communications. 1(1). 18–18. 46 indexed citations
16.
Navis, Anna C., Bob C. Hamans, An Claes, et al.. (2010). Effects of targeting the VEGF and PDGF pathways in diffuse orthotopic glioma models. The Journal of Pathology. 223(5). 626–634. 24 indexed citations
17.
Navis, Anna C., et al.. (2009). Protein tyrosine phosphatases in glioma biology. Acta Neuropathologica. 119(2). 157–175. 53 indexed citations
18.
Koeppel, Max, Simon J. van Heeringen, Leonie Smeenk, et al.. (2008). The novel p53 target gene IRF2BP2 participates in cell survival during the p53 stress response. Nucleic Acids Research. 37(2). 322–335. 44 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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