Matthias Bieg

17.4k total citations
21 papers, 943 citations indexed

About

Matthias Bieg is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Matthias Bieg has authored 21 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Matthias Bieg's work include Epigenetics and DNA Methylation (7 papers), Soft tissue tumor case studies (5 papers) and Sarcoma Diagnosis and Treatment (5 papers). Matthias Bieg is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Soft tissue tumor case studies (5 papers) and Sarcoma Diagnosis and Treatment (5 papers). Matthias Bieg collaborates with scholars based in Germany, United States and Taiwan. Matthias Bieg's co-authors include Evgeny A. Moskalev, Stefan Wiemann, Florian Haller, Abbas Agaimy, Arndt Hartmann, Sarah Barthelmeß, Helene Geddert, Benedikt Brors, Carsten Boltze and Roland Eils and has published in prestigious journals such as Oncogene, Clinical Cancer Research and American Journal Of Pathology.

In The Last Decade

Matthias Bieg

20 papers receiving 937 citations

Peers

Matthias Bieg
Munir R. Tanas United States
Zeng-Feng Wang United States
Matthias Bieg
Citations per year, relative to Matthias Bieg Matthias Bieg (= 1×) peers Evgeny A. Moskalev

Countries citing papers authored by Matthias Bieg

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Bieg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Bieg

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Bieg. A scholar is included among the top collaborators of Matthias Bieg 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 Matthias Bieg. Matthias Bieg 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.
Messingschlager, Marey, Sebastian D. Mackowiak, Matthias Bieg, et al.. (2023). Genome-wide DNA methylation sequencing identifies epigenetic perturbations in the upper airways under long-term exposure to moderate levels of ambient air pollution. Environmental Research. 233. 116413–116413. 5 indexed citations
2.
Haller, Florian, Fulvia Ferrazzi, Michael Michal, et al.. (2021). Lipomatous Solitary Fibrous Tumors Harbor Rare NAB2-STAT6 Fusion Variants and Show Up-Regulation of the Gene PPARG, Encoding for a Regulator of Adipocyte Differentiation. American Journal Of Pathology. 191(7). 1314–1324. 6 indexed citations
3.
Laplana, Marina, Matthias Bieg, Svitlana Melnik, et al.. (2021). Differentially methylated regions within lung cancer risk loci are enriched in deregulated enhancers. Epigenetics. 17(2). 117–132. 2 indexed citations
4.
Feng, Bohai, Ying Shen, Xavier Pastor Hostench, et al.. (2020). Integrative Analysis of Multi-omics Data Identified EGFR and PTGS2 as Key Nodes in a Gene Regulatory Network Related to Immune Phenotypes in Head and Neck Cancer. Clinical Cancer Research. 26(14). 3616–3628. 33 indexed citations
5.
Olins, Ada L., Vladimir B. Teif, Matthias Bieg, et al.. (2020). Whole-genome fingerprint of the DNA methylome during chemically induced differentiation of the human AML cell line HL-60/S4. Biology Open. 9(2). 2 indexed citations
6.
Bieg, Matthias, Benjamin Goeppert, Stephan Singer, et al.. (2020). NOTCH target gene HES5 mediates oncogenic and tumor suppressive functions in hepatocarcinogenesis. Oncogene. 39(15). 3128–3144. 28 indexed citations
7.
Haller, Florian, Evgeny A. Moskalev, Matthias Bieg, et al.. (2020). Nuclear NR4A2 (Nurr1) Immunostaining is a Novel Marker for Acinic Cell Carcinoma of the Salivary Glands Lacking the Classic NR4A3 (NOR-1) Upregulation. The American Journal of Surgical Pathology. 44(9). 1290–1292. 20 indexed citations
8.
Chan, Calvin Wing Yiu, Zuguang Gu, Matthias Bieg, Roland Eils, & Carl Herrmann. (2019). Impact of cancer mutational signatures on transcription factor motifs in the human genome. BMC Medical Genomics. 12(1). 64–64. 7 indexed citations
9.
Haller, Florian, Alena Skálová, Stephan Ihrler, et al.. (2019). Nuclear NR4A3 Immunostaining Is a Specific and Sensitive Novel Marker for Acinic Cell Carcinoma of the Salivary Glands. The American Journal of Surgical Pathology. 43(9). 1264–1272. 89 indexed citations
10.
Backes, Michael, Pascal Berrang, Matthias Bieg, et al.. (2017). Identifying Personal DNA Methylation Profiles by Genotype Inference. IRIS. 957–976. 17 indexed citations
11.
Agaimy, Abbas, Matthias Bieg, Michael Michal, et al.. (2016). Recurrent Somatic PDGFRB Mutations in Sporadic Infantile/Solitary Adult Myofibromas But Not in Angioleiomyomas and Myopericytomas. The American Journal of Surgical Pathology. 41(2). 195–203. 62 indexed citations
12.
Haller, Florian, Jasmin Knopf, Matthias Bieg, et al.. (2016). Paediatric and adult soft tissue sarcomas with NTRK1 gene fusions: a subset of spindle cell sarcomas unified by a prominent myopericytic/haemangiopericytic pattern. The Journal of Pathology. 238(5). 700–710. 97 indexed citations
13.
Haller, Florian, Evgeny A. Moskalev, Fábio R. Faucz, et al.. (2015). Aberrant DNA hypermethylation of SDHC: a novel mechanism of tumor development in Carney triad. Endocrine Abstracts. 55 indexed citations
14.
Barthelmeß, Sarah, Helene Geddert, Carsten Boltze, et al.. (2014). Solitary Fibrous Tumors/Hemangiopericytomas with Different Variants of the NAB2-STAT6 Gene Fusion Are Characterized by Specific Histomorphology and Distinct Clinicopathological Features. American Journal Of Pathology. 184(4). 1209–1218. 172 indexed citations
15.
Haller, Florian, Matthias Bieg, Evgeny A. Moskalev, et al.. (2014). Recurrent Mutations within the Amino-Terminal Region of β-Catenin Are Probable Key Molecular Driver Events in Sinonasal Hemangiopericytoma. American Journal Of Pathology. 185(2). 563–571. 39 indexed citations
16.
Haller, Florian, Evgeny A. Moskalev, Fábio R. Faucz, et al.. (2014). Aberrant DNA hypermethylation of SDHC: a novel mechanism of tumor development in Carney triad. Endocrine Related Cancer. 21(4). 567–577. 135 indexed citations
17.
Oakes, Christopher C., Rainer Claus, Lei Gu, et al.. (2013). Evolution of DNA Methylation Is Linked to Genetic Aberrations in Chronic Lymphocytic Leukemia. Cancer Discovery. 4(3). 348–361. 110 indexed citations
18.
Hutter, Barbara, Matthias Bieg, Volkhard Helms, & Martina Paulsen. (2010). Imprinted genes show unique patterns of sequence conservation. BMC Genomics. 11(1). 649–649. 26 indexed citations
19.
Hutter, Barbara, Matthias Bieg, Volkhard Helms, & Martina Paulsen. (2010). Divergence of imprinted genes during mammalian evolution. BMC Evolutionary Biology. 10(1). 116–116. 16 indexed citations
20.
Hutter, Barbara, Matthias Bieg, Volkhard Helms, & Martina Paulsen. (2010). Conserved elements in imprinted genes. New Biotechnology. 27. S69–S69.

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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