Michaela Bayerlová

643 total citations
14 papers, 405 citations indexed

About

Michaela Bayerlová is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michaela Bayerlová has authored 14 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Michaela Bayerlová's work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Michaela Bayerlová is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Michaela Bayerlová collaborates with scholars based in Germany, Israel and United Kingdom. Michaela Bayerlová's co-authors include Tim Beißbarth, Annalen Bleckmann, Florian Klemm, Frank Krämer, Tobias Pukrop, Claudia R. Binder, Klaus Jung, Olivier Missa, Natália Martínková and Kerstin Menck and has published in prestigious journals such as Bioinformatics, PLoS ONE and Development.

In The Last Decade

Michaela Bayerlová

14 papers receiving 400 citations

Peers

Michaela Bayerlová

ONCOL

PRM

IMMUN

Luciane Sussuchi da Silva Brazil

Bryan C. Nikolai United States

Ji Wen United States

Sohini Chakraborty India

Stephanie A. Schittone United States

Gopinath Ganji United States

Joana Carvalho United Kingdom

Stephen Kerby United States

Rene Quevedo Canada

Braden T. Greer United States

Luciane Sussuchi da Silva Brazil

Michaela Bayerlová

192 ×0.7

88 ×0.9

76 ×0.8

ONCOL

58 ×1.1

PRM

39 ×1.0

IMMUN

Citations per year, relative to Michaela Bayerlová Michaela Bayerlová (= 1×) peers Luciane Sussuchi da Silva

Countries citing papers authored by Michaela Bayerlová

Since Specialization

Citations

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

Fields of papers citing papers by Michaela Bayerlová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Bayerlová

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

All Works

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14 of 14 papers shown

Olson, N. Eric, Jennifer H. Cox, Seamus P. Ragan, et al.. (2022). A Multi-Omics Approach to IgA Nephropathy Characterization in the NURTuRE Cohort Enables Precision-Based Treatment Approaches. Journal of the American Society of Nephrology. 33(11S). 34–34. 1 indexed citations

Bayerlová, Michaela, et al.. (2018). A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells. PLoS ONE. 13(5). e0197162–e0197162. 12 indexed citations

Bernhardt, Stephan, Michaela Bayerlová, Martina Vetter, et al.. (2017). Proteomic profiling of breast cancer metabolism identifies SHMT2 and ASCT2 as prognostic factors. Breast Cancer Research. 19(1). 112–112. 80 indexed citations

Bayerlová, Michaela, Kerstin Menck, Florian Klemm, et al.. (2017). Ror2 Signaling and Its Relevance in Breast Cancer Progression. Frontiers in Oncology. 7. 34 indexed citations

Bayerlová, Michaela, et al.. (2016). Ror2 signaling is required for local upregulation of GDF6 and activation of BMP signaling at the neural plate border. Development. 143(17). 3182–3194. 16 indexed citations

Bayerlová, Michaela, et al.. (2015). A global microRNA screen identifies regulators of the ErbB receptor signaling network. Cell Communication and Signaling. 13(1). 5–5. 25 indexed citations

Bayerlová, Michaela, Klaus Jung, Frank Krämer, et al.. (2015). Comparative study on gene set and pathway topology-based enrichment methods. BMC Bioinformatics. 16(1). 334–334. 61 indexed citations

Bayerlová, Michaela, Florian Klemm, Frank Krämer, et al.. (2015). Newly Constructed Network Models of Different WNT Signaling Cascades Applied to Breast Cancer Expression Data. PLoS ONE. 10(12). e0144014–e0144014. 15 indexed citations

Kramer, Daniela, Michael P. Schön, Michaela Bayerlová, et al.. (2015). A pro-apoptotic function of iASPP by stabilizing p300 and CBP through inhibition of BRMS1 E3 ubiquitin ligase activity. Cell Death and Disease. 6(2). e1634–e1634. 11 indexed citations

10.

Bleckmann, Annalen, Michaela Bayerlová, Kerstin Menck, et al.. (2015). Anti-CSF-1 treatment is effective to prevent carcinoma invasion induced by monocyte-derived cells but scarcely by microglia. Oncotarget. 6(17). 15482–15493. 31 indexed citations

11.

Krämer, Frank, Michaela Bayerlová, & Tim Beißbarth. (2014). R-Based Software for the Integration of Pathway Data into Bioinformatic Algorithms. Biology. 3(1). 85–100. 12 indexed citations

12.

Chuang, Han‐Ning, Denise van Rossum, Dirk Sieger, et al.. (2013). Carcinoma cells misuse the host tissue damage response to invade the brain. Glia. 61(8). 1331–1346. 49 indexed citations

13.

Bayerlová, Michaela, et al.. (2012). Complex patterns of host switching in New World arenaviruses. Molecular Ecology. 21(16). 4137–4150. 34 indexed citations

14.

Krämer, Frank, Michaela Bayerlová, Florian Klemm, Annalen Bleckmann, & Tim Beißbarth. (2012). rBiopaxParser—an R package to parse, modify and visualize BioPAX data. Bioinformatics. 29(4). 520–522. 24 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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