Andreas Hecht

5.9k total citations · 2 hit papers
63 papers, 4.8k citations indexed

About

Andreas Hecht is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Andreas Hecht has authored 63 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Genetics. Recurrent topics in Andreas Hecht's work include Wnt/β-catenin signaling in development and cancer (30 papers), Cancer-related gene regulation (24 papers) and Genomics and Chromatin Dynamics (11 papers). Andreas Hecht is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (30 papers), Cancer-related gene regulation (24 papers) and Genomics and Chromatin Dynamics (11 papers). Andreas Hecht collaborates with scholars based in Germany, United States and United Kingdom. Andreas Hecht's co-authors include Michael Grunstein, Sabine Strahl‐Bolsinger, Rolf Kemler, Kang Luo, Susan M. Gasser, Thierry Laroche, Michael Grunstein, Marc P. Stemmler, Xuan Xu and Seokjoong Kim and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Andreas Hecht

61 papers receiving 4.7k citations

Hit Papers

Histone H3 and H4 N-termini interact with SIR3 and SIR4 p... 1995 2026 2005 2015 1995 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Hecht Germany 31 4.2k 547 490 481 398 63 4.8k
Jan C. Pronk Netherlands 31 3.4k 0.8× 553 1.0× 287 0.6× 217 0.5× 499 1.3× 77 4.1k
Johanne M. Murray United Kingdom 31 3.4k 0.8× 435 0.8× 522 1.1× 391 0.8× 754 1.9× 66 3.7k
John Mulligan United States 17 2.6k 0.6× 510 0.9× 1.2k 2.4× 462 1.0× 207 0.5× 21 3.9k
Hiroyuki Niida Japan 28 3.3k 0.8× 431 0.8× 197 0.4× 678 1.4× 346 0.9× 55 3.9k
Göran Levan Sweden 26 1.5k 0.4× 874 1.6× 259 0.5× 416 0.9× 207 0.5× 121 2.6k
Philippe Pognonec France 32 2.7k 0.7× 737 1.3× 204 0.4× 562 1.2× 219 0.6× 59 3.8k
Jan A. Gossen United States 31 2.3k 0.6× 859 1.6× 322 0.7× 401 0.8× 208 0.5× 52 3.8k
R. E. K. Fournier United States 34 3.0k 0.7× 1.2k 2.1× 375 0.8× 310 0.6× 310 0.8× 91 3.9k
Giovanni Perini Italy 33 2.4k 0.6× 427 0.8× 233 0.5× 425 0.9× 212 0.5× 69 3.3k
Pengbo Zhou United States 37 3.4k 0.8× 431 0.8× 219 0.4× 1.1k 2.2× 787 2.0× 68 4.4k

Countries citing papers authored by Andreas Hecht

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Hecht

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Hecht. A scholar is included among the top collaborators of Andreas Hecht 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 Andreas Hecht. Andreas Hecht 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
3.
Nyström, Alexander, et al.. (2022). Canonical TGFβ signaling induces collective invasion in colorectal carcinogenesis through a Snail1- and Zeb1-independent partial EMT. Oncogene. 41(10). 1492–1506. 26 indexed citations
4.
Frey, Patrick, et al.. (2021). SMAD4 mutations do not preclude epithelial–mesenchymal transition in colorectal cancer. Oncogene. 41(6). 824–837. 17 indexed citations
5.
Lamprecht, Constanze, et al.. (2020). Loss of the nuclear Wnt pathway effector TCF7L2 promotes migration and invasion of human colorectal cancer cells. Oncogene. 39(19). 3893–3909. 46 indexed citations
7.
Rönsch, Kerstin, Sylvia Timme, Hana Andrlová, et al.. (2014). Silencing of the EPHB3 tumor-suppressor gene in human colorectal cancer through decommissioning of a transcriptional enhancer. Proceedings of the National Academy of Sciences. 111(13). 4886–4891. 30 indexed citations
8.
Benary, Uwe, Bente Kofahl, Andreas Hecht, & Jana Wolf. (2013). Modeling Wnt/β-Catenin Target Gene Expression in APC and Wnt Gradients Under Wild Type and Mutant Conditions. Frontiers in Physiology. 4. 21–21. 21 indexed citations
10.
Gebhardt, Rolf, Robert Günther, Sebastian Zellmer, et al.. (2009). 4‐Aminoethylamino‐emodin – a novel potent inhibitor of GSK‐3β– acts as an insulin‐sensitizer avoiding downstream effects of activated β‐catenin. Journal of Cellular and Molecular Medicine. 14(6a). 1276–1293. 12 indexed citations
11.
Wöhrle, Simon, et al.. (2006). Canonical Wnt signaling transiently stimulates proliferation and enhances neurogenesis in neonatal neural progenitor cultures. Experimental Cell Research. 313(3). 572–587. 81 indexed citations
12.
Hecht, Andreas, Sabine Strahl‐Bolsinger, & Michael Grunstein. (2003). Mapping DNA Interaction Sites of Chromosomal Proteins Crosslinking Studies in Yeast. Humana Press eBooks. 119. 469–480. 26 indexed citations
13.
Stemmler, Marc P., Andreas Hecht, Bernd Kinzel, & Rolf Kemler. (2003). Analysis of regulatory elements of E‐cadherin with reporter gene constructs in transgenic mouse embryos. Developmental Dynamics. 227(2). 238–245. 27 indexed citations
14.
Shah, Salimuddin, Andreas Hecht, Richard G. Pestell, & Stephen W. Byers. (2003). Trans-repression of β-Catenin Activity by Nuclear Receptors. Journal of Biological Chemistry. 278(48). 48137–48145. 99 indexed citations
15.
Aoki, Masahiro, Vera Sobek, Daniel Maslyar, Andreas Hecht, & Peter K. Vogt. (2002). Oncogenic transformation by β-catenin: deletion analysis and characterization of selected target genes. Oncogene. 21(46). 6983–6991. 27 indexed citations
16.
Vleminckx, Kris, Rolf Kemler, & Andreas Hecht. (1999). The C-terminal transactivation domain of β-catenin is necessary and sufficient for signaling by the LEF-1/β-catenin complex in Xenopus laevis. Mechanisms of Development. 81(1-2). 65–74. 97 indexed citations
17.
Hecht, Andreas, Sabine Strahl‐Bolsinger, & Michael Grunstein. (1996). Spreading of transcriptional represser SIR3 from telomeric heterochromatin. Nature. 383(6595). 92–96. 450 indexed citations
18.
Hecht, Andreas, Thierry Laroche, Sabine Strahl‐Bolsinger, Susan M. Gasser, & Michael Grunstein. (1995). Histone H3 and H4 N-termini interact with SIR3 and SIR4 proteins: A molecular model for the formation of heterochromatin in yeast. Cell. 80(4). 583–592. 664 indexed citations breakdown →
19.
Schäfer, Georgia, et al.. (1993). Chromatin Domains Constitute Regulatory Units for the Control of Eukaryotic Genes. Cold Spring Harbor Symposia on Quantitative Biology. 58(0). 37–44. 20 indexed citations
20.
Grewal, Thomas, Manfred Theisen, Uwe Borgmeyer, et al.. (1992). The — 6.1-Kilobase Chicken Lysozyme Enhancer Is a Multifactorial Complex Containing Several Cell-Type-Specific Elements. Molecular and Cellular Biology. 12(5). 2339–2350. 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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