Martina Auer

3.3k total citations
26 papers, 2.1k citations indexed

About

Martina Auer is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Martina Auer has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 14 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Martina Auer's work include Cancer Genomics and Diagnostics (17 papers), Genetic factors in colorectal cancer (6 papers) and Cancer Cells and Metastasis (6 papers). Martina Auer is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Genetic factors in colorectal cancer (6 papers) and Cancer Cells and Metastasis (6 papers). Martina Auer collaborates with scholars based in Austria, Germany and United States. Martina Auer's co-authors include Jochen B. Geigl, Michael R. Speicher, Ellen Heitzer, Peter Ulz, Klaus Pantel, Sabine Riethdorf, Martin Pichler, Thomas Bauernhofer, Florian Eisner and Oliver Mauermann and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Martina Auer

25 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martina Auer Austria 18 1.5k 925 851 654 316 26 2.1k
Peter Ulz Austria 22 2.0k 1.3× 1.1k 1.2× 1.1k 1.3× 923 1.4× 476 1.5× 35 2.7k
Yiping He China 12 1.1k 0.7× 462 0.5× 848 1.0× 392 0.6× 278 0.9× 18 1.8k
Betania Mahler‐Araujo United Kingdom 10 1.6k 1.0× 973 1.1× 1.1k 1.3× 746 1.1× 499 1.6× 16 2.4k
Heather Biggs United Kingdom 7 1.7k 1.1× 832 0.9× 727 0.9× 821 1.3× 450 1.4× 12 2.0k
Mark Sausen United States 20 1.8k 1.2× 1.2k 1.3× 1.2k 1.5× 921 1.4× 590 1.9× 51 3.1k
Charlotte Proudhon France 25 1.1k 0.7× 924 1.0× 814 1.0× 463 0.7× 237 0.8× 42 2.0k
Ajay Pandita Canada 19 603 0.4× 766 0.8× 1.1k 1.3× 609 0.9× 220 0.7× 26 2.1k
Vanesa García‐Barberán Spain 29 1.2k 0.8× 1.2k 1.3× 1.8k 2.1× 368 0.6× 372 1.2× 77 2.8k
Naoki Hayashi Japan 24 1.1k 0.7× 1.3k 1.4× 396 0.5× 584 0.9× 441 1.4× 111 2.3k
Ruli Gao United States 18 1.5k 1.0× 1.0k 1.1× 1.8k 2.1× 353 0.5× 217 0.7× 31 2.8k

Countries citing papers authored by Martina Auer

Since Specialization
Citations

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

Fields of papers citing papers by Martina Auer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Auer

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Auer. A scholar is included among the top collaborators of Martina Auer 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 Martina Auer. Martina Auer 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.
Suppan, Christoph, Iva Brčić, Florian Posch, et al.. (2019). Untargeted Assessment of Tumor Fractions in Plasma for Monitoring and Prognostication from Metastatic Breast Cancer Patients Undergoing Systemic Treatment. Cancers. 11(8). 1171–1171. 21 indexed citations
2.
Duta-Mare, Madalina, Vinay Sachdev, Christina Leopold, et al.. (2018). Lysosomal acid lipase regulates fatty acid channeling in brown adipose tissue to maintain thermogenesis. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1863(4). 467–478. 28 indexed citations
3.
Perakis, Samantha, Martina Auer, Jelena Belic, & Ellen Heitzer. (2017). Advances in Circulating Tumor DNA Analysis. Advances in clinical chemistry. 80. 73–153. 22 indexed citations
4.
Ulz, Peter, Jelena Belic, Ricarda Graf, et al.. (2016). Whole-genome plasma sequencing reveals focal amplifications as a driving force in metastatic prostate cancer. Nature Communications. 7(1). 12008–12008. 110 indexed citations
5.
Ulz, Peter, Gerhard Thallinger, Martina Auer, et al.. (2016). Inferring expressed genes by whole-genome sequencing of plasma DNA. Nature Genetics. 48(10). 1273–1278. 280 indexed citations
6.
Belic, Jelena, Peter Ulz, Martina Auer, et al.. (2016). mFast-SeqS as a Monitoring and Pre-screening Tool for Tumor-Specific Aneuploidy in Plasma DNA. Advances in experimental medicine and biology. 924. 147–155. 23 indexed citations
7.
Ulz, Peter, Martina Auer, & Ellen Heitzer. (2015). Detection of Circulating Tumor DNA in the Blood of Cancer Patients: An Important Tool in Cancer Chemoprevention. Methods in molecular biology. 1379. 45–68. 17 indexed citations
8.
Belic, Jelena, Peter Ulz, Martina Auer, et al.. (2015). Rapid Identification of Plasma DNA Samples with Increased ctDNA Levels by a Modified FAST-SeqS Approach. Clinical Chemistry. 61(6). 838–849. 79 indexed citations
9.
Mohan, Sumitra, Ellen Heitzer, Peter Ulz, et al.. (2014). Changes in Colorectal Carcinoma Genomes under Anti-EGFR Therapy Identified by Whole-Genome Plasma DNA Sequencing. PLoS Genetics. 10(3). e1004271–e1004271. 134 indexed citations
10.
Miething, Cornelius, Claudio Scuoppo, Benedikt Bosbach, et al.. (2014). PTEN action in leukaemia dictated by the tissue microenvironment. Nature. 510(7505). 402–406. 38 indexed citations
11.
Holtschmidt, Johannes, Martina Auer, Ellen Heitzer, et al.. (2014). Hematogenous dissemination of glioblastoma multiforme. Science Translational Medicine. 6(247). 247ra101–247ra101. 257 indexed citations
12.
Heitzer, Ellen, Martina Auer, Christin Gasch, et al.. (2013). Complex Tumor Genomes Inferred from Single Circulating Tumor Cells by Array-CGH and Next-Generation Sequencing. Cancer Research. 73(10). 2965–2975. 403 indexed citations
13.
Heitzer, Ellen, Peter Ulz, Jelena Belic, et al.. (2013). Tumor-associated copy number changes in the circulation of patients with prostate cancer identified through whole-genome sequencing. Genome Medicine. 5(4). 30–30. 263 indexed citations
14.
Heitzer, Ellen, Martina Auer, Peter Ulz, Jochen B. Geigl, & Michael R. Speicher. (2013). Circulating tumor cells and DNA as liquid biopsies. Genome Medicine. 5(8). 73–73. 106 indexed citations
15.
Balić, Marija, Daniela Schwarzenbacher, Stefanie Stanzer, et al.. (2013). Genetic and epigenetic analysis of putative breast cancer stem cell models. BMC Cancer. 13(1). 358–358. 21 indexed citations
16.
17.
Lackner, Carolin, Jochen B. Geigl, Martina Schwarz, et al.. (2010). Evolution of Genomic Instability in Diethylnitrosamine-Induced Hepatocarcinogenesis in Mice Δ. Hepatology. 53(3). 895–904. 45 indexed citations
18.
Obenauf, Anna C., Thomas Schwarzbraun, Martina Auer, et al.. (2010). Mapping of balanced chromosome translocation breakpoints to the basepair level from microdissected chromosomes. Journal of Cellular and Molecular Medicine. 14(8). 2078–2084. 6 indexed citations
19.
Geigl, Jochen B., Anna C. Obenauf, Julie Waldispuehl‐Geigl, et al.. (2009). Identification of small gains and losses in single cells after whole genome amplification on tiling oligo arrays. Nucleic Acids Research. 37(15). e105–e105. 96 indexed citations
20.
Braun, Stephan, et al.. (2002). [Importance of occult metastatic cells in the treatment of patients with breast and gastrointestinal cancers].. PubMed. 59. 18–26.

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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