Antje Andreas

713 total citations
16 papers, 533 citations indexed

About

Antje Andreas is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Antje Andreas has authored 16 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 10 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Antje Andreas's work include Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Antje Andreas is often cited by papers focused on Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (7 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Antje Andreas collaborates with scholars based in Germany, Austria and Netherlands. Antje Andreas's co-authors include Klaus Pantel, Kai Bartkowiak, Volkmar Müller, Burkhard Brandt, Juliane Hannemann, Simon A. Joosse, Andreas Bauche, Friedrich Buck, Tobias M. Gorges and Jasna Peter‐Katalinić and has published in prestigious journals such as Cancer Research, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Antje Andreas

16 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antje Andreas Germany 10 322 212 212 86 85 16 533
Wasfi Alrawashdeh United Kingdom 7 257 0.8× 203 1.0× 164 0.8× 68 0.8× 60 0.7× 13 514
Arulselvi Anbalagan United States 8 203 0.6× 222 1.0× 175 0.8× 61 0.7× 74 0.9× 10 486
Tatiana S. Gerashchenko Russia 12 226 0.7× 188 0.9× 160 0.8× 92 1.1× 54 0.6× 37 502
Kateřina Bouchalová Czechia 12 229 0.7× 193 0.9× 128 0.6× 62 0.7× 49 0.6× 35 486
Regina Pinto Portugal 4 408 1.3× 268 1.3× 187 0.9× 71 0.8× 43 0.5× 7 550
Brunella Costanza Belgium 8 197 0.6× 279 1.3× 156 0.7× 56 0.7× 63 0.7× 9 470
Ki-Chun Yoo South Korea 14 199 0.6× 291 1.4× 153 0.7× 55 0.6× 44 0.5× 20 536
Jenny E. Chu Canada 7 444 1.4× 289 1.4× 184 0.9× 81 0.9× 44 0.5× 15 619
George Sflomos Switzerland 13 291 0.9× 250 1.2× 140 0.7× 47 0.5× 48 0.6× 18 533
Pranita Atri United States 16 346 1.1× 379 1.8× 178 0.8× 84 1.0× 42 0.5× 33 674

Countries citing papers authored by Antje Andreas

Since Specialization
Citations

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

Fields of papers citing papers by Antje Andreas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antje Andreas

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

All Works

16 of 16 papers shown
1.
Heidrich, Isabel, Antje Andreas, Anne Menz, et al.. (2025). In-depth assessment of BRAF, NRAS, KRAS, EGFR, and PIK3CA mutations on cell-free DNA in the blood of melanoma patients receiving immune checkpoint inhibition. Journal of Experimental & Clinical Cancer Research. 44(1). 202–202. 2 indexed citations
2.
Bartkowiak, Kai, Stefan Werner, Antje Andreas, et al.. (2025). Discovery of a sushi domain-containing protein 2-positive phenotype in circulating tumor cells of metastatic breast cancer patients. Scientific Reports. 15(1). 3913–3913. 2 indexed citations
3.
Keller, Laura, Christian Meß, Alexander T. Bauer, et al.. (2023). Prognostic value of von Willebrand factor levels in patients with metastatic melanoma treated by immune checkpoint inhibitors. Journal for ImmunoTherapy of Cancer. 11(5). e006456–e006456. 11 indexed citations
4.
Bartkowiak, Kai, Marcel Kwiatkowski, Antje Andreas, et al.. (2023). Detection and Isolation of Circulating Tumor Cells from Breast Cancer Patients Using CUB Domain-Containing Protein 1. Journal of Proteome Research. 22(4). 1213–1230. 6 indexed citations
5.
Casjens, Swaantje, Antje Andreas, Thomas Brüning, et al.. (2021). Blood‐based detection of lung cancer using cysteine‐rich angiogenic inducer 61 (CYR61) as a circulating protein biomarker: a pilot study. Molecular Oncology. 15(11). 2877–2890. 9 indexed citations
6.
Bartkowiak, Kai, Isabel Heidrich, Marcel Kwiatkowski, et al.. (2021). Cysteine-Rich Angiogenic Inducer 61: Pro-Survival Function and Role as a Biomarker for Disseminating Breast Cancer Cells. Cancers. 13(3). 563–563. 9 indexed citations
7.
Bartkowiak, Kai, Isabel Heidrich, Marcel Kwiatkowski, et al.. (2021). Circulating Cellular Communication Network Factor 1 Protein as a Sensitive Liquid Biopsy Marker for Early Detection of Breast Cancer. Clinical Chemistry. 68(2). 344–353. 9 indexed citations
8.
9.
Bartkowiak, Kai, Swaantje Casjens, Antje Andreas, et al.. (2020). Sensitive Blood-Based Detection of Asbestos-Associated Diseases Using Cysteine-Rich Angiogenic Inducer 61 as Circulating Protein Biomarker. Clinical Chemistry. 67(2). 363–373. 3 indexed citations
10.
Gasch, Christin, Oliver Mauermann, Tobias M. Gorges, et al.. (2016). Frequent detection of PIK3CA mutations in single circulating tumor cells of patients suffering from HER2‐negative metastatic breast cancer. Molecular Oncology. 10(8). 1330–1343. 51 indexed citations
11.
Bartkowiak, Kai, Marcel Kwiatkowski, Friedrich Buck, et al.. (2015). Disseminated Tumor Cells Persist in the Bone Marrow of Breast Cancer Patients through Sustained Activation of the Unfolded Protein Response. Cancer Research. 75(24). 5367–5377. 65 indexed citations
12.
Joosse, Simon A., Juliane Hannemann, Andreas Bauche, et al.. (2012). Changes in Keratin Expression during Metastatic Progression of Breast Cancer: Impact on the Detection of Circulating Tumor Cells. Clinical Cancer Research. 18(4). 993–1003. 126 indexed citations
13.
Bartkowiak, Kai, Antje Andreas, Klaus Pantel, et al.. (2012). The interplay of HER2/HER3/PI3K and EGFR/HER2/PLC ‐γ 1 signalling in breast cancer cell migration and dissemination. The Journal of Pathology. 227(2). 234–244. 76 indexed citations
14.
Bednarz‐Knoll, Natalia, Elke Eltze, Axel Semjonow, et al.. (2010). BRCA1 Loss Preexisting in Small Subpopulations of Prostate Cancer Is Associated with Advanced Disease and Metastatic Spread to Lymph Nodes and Peripheral Blood. Clinical Cancer Research. 16(13). 3340–3348. 53 indexed citations
15.
Bartkowiak, Kai, Katharina E. Effenberger, Sönke Harder, et al.. (2010). Discovery of a Novel Unfolded Protein Response Phenotype of Cancer Stem/Progenitor Cells from the Bone Marrow of Breast Cancer Patients. Journal of Proteome Research. 9(6). 3158–3168. 78 indexed citations
16.
Agelopoulos, Konstantin, Burkhard Greve, Hartmut Schmidt, et al.. (2010). Selective regain of egfr gene copies in CD44+/CD24-/lowbreast cancer cellular model MDA-MB-468. BMC Cancer. 10(1). 78–78. 19 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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