Matthias Ebert

3.3k total citations
55 papers, 2.1k citations indexed

About

Matthias Ebert is a scholar working on Molecular Biology, Geophysics and Astronomy and Astrophysics. According to data from OpenAlex, Matthias Ebert has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Geophysics and 11 papers in Astronomy and Astrophysics. Recurrent topics in Matthias Ebert's work include Planetary Science and Exploration (10 papers), Geological and Geochemical Analysis (10 papers) and Cancer-related gene regulation (6 papers). Matthias Ebert is often cited by papers focused on Planetary Science and Exploration (10 papers), Geological and Geochemical Analysis (10 papers) and Cancer-related gene regulation (6 papers). Matthias Ebert collaborates with scholars based in Germany, China and United States. Matthias Ebert's co-authors include Johannes Betge, Niklas Rindtorff, Tianzuo Zhan, Michael Boutros, Steven Dooley, Christoph Meyer, Zeribe C. Nwosu, Lutz Hecht, Béla Molnár and Mike Partridge and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Matthias Ebert

50 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Ebert Germany 22 1.1k 434 360 263 230 55 2.1k
Shui Wang China 36 1.5k 1.4× 719 1.7× 1.2k 3.4× 307 1.2× 259 1.1× 164 3.2k
Catherine Lacombe France 36 2.3k 2.1× 872 2.0× 388 1.1× 250 1.0× 262 1.1× 77 4.7k
Li-Peng Hu China 24 1.0k 0.9× 575 1.3× 530 1.5× 85 0.3× 246 1.1× 68 2.2k
Guy Berchem Luxembourg 45 3.5k 3.2× 1.4k 3.2× 1.7k 4.8× 196 0.7× 461 2.0× 147 6.5k
Kazuo Yoshioka Japan 34 1.3k 1.2× 152 0.4× 110 0.3× 186 0.7× 422 1.8× 208 4.3k
Huan‐Yu Wang China 21 479 0.4× 95 0.2× 126 0.3× 57 0.2× 137 0.6× 108 1.5k
N. Sabha Germany 25 712 0.6× 163 0.4× 554 1.5× 50 0.2× 105 0.5× 63 2.2k
Yasumitsu Kondoh Japan 22 1.3k 1.2× 204 0.5× 485 1.3× 32 0.1× 107 0.5× 96 2.1k
C. Lacombe France 34 1.3k 1.2× 538 1.2× 254 0.7× 92 0.3× 252 1.1× 121 4.0k
R. P. Tripathi India 21 549 0.5× 106 0.2× 122 0.3× 69 0.3× 34 0.1× 76 1.7k

Countries citing papers authored by Matthias Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Ebert. A scholar is included among the top collaborators of Matthias Ebert 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 Ebert. Matthias Ebert 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.
Albrecht, Philipp, et al.. (2025). Gastric cancer: from biomarkers to functional precision medicine. Trends in Molecular Medicine. 31(12). 1089–1102.
2.
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Hirth, Michael, et al.. (2022). Genetic Mouse Models to Study Pancreatic Cancer-Induced Pain and Reduction in Well-Being. Cells. 11(17). 2634–2634. 8 indexed citations
4.
Thomann, A, Torsten Wüstenberg, Jakob Wirbel, et al.. (2022). Depression and fatigue in active IBD from a microbiome perspective—a Bayesian approach to faecal metagenomics. BMC Medicine. 20(1). 366–366. 34 indexed citations
5.
Nwosu, Zeribe C., Mei Han, Michael Büttner, et al.. (2021). Dysregulated paired related homeobox 1 impacts on hepatocellular carcinoma phenotypes. BMC Cancer. 21(1). 1006–1006. 1 indexed citations
6.
Han, Mei, Sai Wang, Zeribe C. Nwosu, et al.. (2020). Hepatocyte caveolin-1 modulates metabolic gene profiles and functions in non-alcoholic fatty liver disease. Cell Death and Disease. 11(2). 104–104. 21 indexed citations
7.
Zhan, Tianzuo, Giulia Ambrosi, Benedikt Rauscher, et al.. (2019). MEK inhibitors activate Wnt signalling and induce stem cell plasticity in colorectal cancer. Nature Communications. 10(1). 2197–2197. 127 indexed citations
8.
Neugebauer, Michael, Matthias Ebert, & Roger Vogelmann. (2019). Mangel an Informationen und deren Bereitstellung am Arbeitsplatz als mögliche Gründe für inkorrekte Antibiotikatherapien in Deutschland. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 144-145. 35–41. 7 indexed citations
9.
Nwosu, Zeribe C., Matthias Ebert, Steven Dooley, & Christoph Meyer. (2016). Caveolin-1 in the regulation of cell metabolism: a cancer perspective. Molecular Cancer. 15(1). 71–71. 188 indexed citations
10.
Betge, Johannes, Nora Schneider, Lars Harbaum, et al.. (2016). MUC1, MUC2, MUC5AC, and MUC6 in colorectal cancer: expression profiles and clinical significance. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(3). 255–265. 102 indexed citations
11.
Schulz, Sandra, Mareike Roscher, Bjoern Meyer, et al.. (2016). Inhibition of Rho-Associated Kinase 1/2 Attenuates Tumor Growth in Murine Gastric Cancer. Neoplasia. 18(8). 500–511. 34 indexed citations
12.
Hamann, Christopher, D. Schultze, Matthias Ebert, et al.. (2015). Silicate Liquid Immiscibility in Natural and Experimental Impact Melts. Lunar and Planetary Science Conference. 2071. 1 indexed citations
13.
Munteanu, Bogdan, Bjoern Meyer, Carolina Reitzenstein, et al.. (2014). Label-Free in Situ Monitoring of Histone Deacetylase Drug Target Engagement by Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry Biotyping and Imaging. Analytical Chemistry. 86(10). 4642–4647. 56 indexed citations
14.
15.
Ebert, Matthias, Lutz Hecht, A. Deutsch, & T. Kenkmann. (2011). MEMIN: Chemical Modification of Projectile Spheres, Target Melts and Shocked Quartz in Hypervelocity Impact Experiments. LPI. 1400. 3 indexed citations
16.
Balluff, Benjamin, Sandra Rauser, Stephan Meding, et al.. (2011). MALDI Imaging Identifies Prognostic Seven-Protein Signature of Novel Tissue Markers in Intestinal-Type Gastric Cancer. American Journal Of Pathology. 179(6). 2720–2729. 119 indexed citations
17.
Lofton–Day, Catherine, Fabian Model, Theo deVos, et al.. (2007). DNA Methylation Biomarkers for Blood-Based Colorectal Cancer Screening. Clinical Chemistry. 54(2). 414–423. 385 indexed citations
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Frank, Marcus, Matthias Ebert, Weisong Shan, et al.. (2005). Differential expression of individual gamma-protocadherins during mouse brain development. Molecular and Cellular Neuroscience. 29(4). 603–616. 84 indexed citations
20.
Chen, Jie, Christoph Röcken, Ludger Klein‐Hitpaß, et al.. (2004). Microarray analysis of gene expression in metastatic gastric cancer cells after incubation with the methylation inhibitor 5-aza-2′-deoxycytidine. Clinical & Experimental Metastasis. 21(5). 389–397. 12 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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