Karl Münger

33.7k total citations · 9 hit papers
190 papers, 23.0k citations indexed

About

Karl Münger is a scholar working on Epidemiology, Oncology and Molecular Biology. According to data from OpenAlex, Karl Münger has authored 190 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Epidemiology, 94 papers in Oncology and 81 papers in Molecular Biology. Recurrent topics in Karl Münger's work include Cervical Cancer and HPV Research (91 papers), Cancer-related Molecular Pathways (78 papers) and Virus-based gene therapy research (42 papers). Karl Münger is often cited by papers focused on Cervical Cancer and HPV Research (91 papers), Cancer-related Molecular Pathways (78 papers) and Virus-based gene therapy research (42 papers). Karl Münger collaborates with scholars based in United States, Switzerland and Germany. Karl Münger's co-authors include Peter M. Howley, Nicholas J. Dyson, Stefan Duensing, William C. Phelps, Margaret E. McLaughlin-Drubin, Ed Harlow, D. Leanne Jones, Martin Scheffner, Richard Schlegel and Carole Yee and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Karl Münger

186 papers receiving 22.4k citations

Hit Papers

The Human Papilloma Virus-16 E7 Oncoprotein Is Able to Bi... 1988 2026 2000 2013 1989 1989 1989 2004 1991 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Human Papilloma Virus-16 E7 Oncoprotein Is Able to Bind to the Retinoblastoma Gene Product
    1989 2.5k citations Peter M. Howley, Karl Münger et al. profile →
  2. The E6 and E7 genes of the human papillomavirus type 16 together are necessary and sufficient for transformation of primary human keratinocytes
    1989 1.1k citations Karl Münger, Peter M. Howley et al. Journal of Virology profile →
  3. Complex formation of human papillomavirus E7 proteins with the retinoblastoma tumor suppressor gene product.
    1989 967 citations Karl Münger, Peter M. Howley et al. profile →
  4. Mechanisms of Human Papillomavirus-Induced Oncogenesis
    2004 766 citations Karl Münger, Christine Nguyen et al. Journal of Virology profile →
  5. The state of the p53 and retinoblastoma genes in human cervical carcinoma cell lines.
    1991 736 citations Martin Scheffner, Karl Münger et al. Proceedings of the National Academy of Sciences profile →
  6. Human papillomavirus immortalization and transformation functions
    2002 587 citations Karl Münger, Peter M. Howley profile →
  7. The human papillomavirus type 16 E7 gene encodes transactivation and transformation functions similar to those of adenovirus E1A
    1988 581 citations Karl Münger, Peter M. Howley et al. profile →
  8. TGF-β1 inhibition of c-myc transcription and growth in keratinocytes is abrogated by viral transforming proteins with pRB binding domains
    1990 543 citations Karl Münger, Peter M. Howley et al. profile →
  9. Human Viral Oncogenesis: A Cancer Hallmarks Analysis
    2014 473 citations Karl Münger et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Münger United States 75 11.5k 9.6k 9.4k 4.5k 3.7k 190 23.0k
Denise A. Galloway United States 75 10.8k 0.9× 5.9k 0.6× 6.4k 0.7× 2.4k 0.5× 2.7k 0.7× 218 19.4k
Paul F. Lambert United States 67 7.1k 0.6× 6.1k 0.6× 4.9k 0.5× 2.6k 0.6× 3.0k 0.8× 300 15.0k
Peter M. Howley United States 101 17.9k 1.6× 19.4k 2.0× 15.8k 1.7× 10.4k 2.3× 7.0k 1.9× 244 40.4k
Martin Scheffner Germany 55 5.0k 0.4× 12.1k 1.3× 7.7k 0.8× 3.4k 0.8× 1.9k 0.5× 139 17.9k
Laimonis A. Laimins United States 66 8.2k 0.7× 6.7k 0.7× 4.2k 0.4× 3.3k 0.7× 2.9k 0.8× 152 14.5k
Michael Pawlita Germany 70 8.8k 0.8× 6.1k 0.6× 5.4k 0.6× 1.7k 0.4× 4.0k 1.1× 408 20.6k
Jon M. Huibregtse United States 50 4.8k 0.4× 8.9k 0.9× 5.7k 0.6× 2.5k 0.6× 2.5k 0.7× 85 14.7k
Magnus von Knebel Doeberitz Germany 71 5.7k 0.5× 4.9k 0.5× 6.7k 0.7× 1.2k 0.3× 2.3k 0.6× 319 16.3k
J. Alain Kummer Netherlands 52 6.6k 0.6× 4.5k 0.5× 3.6k 0.4× 748 0.2× 2.7k 0.7× 94 15.1k
Massimo Tommasino France 61 7.2k 0.6× 3.8k 0.4× 3.5k 0.4× 1.0k 0.2× 2.0k 0.5× 315 12.3k

Countries citing papers authored by Karl Münger

Since Specialization
Citations

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

Fields of papers citing papers by Karl Münger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Münger

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Münger. A scholar is included among the top collaborators of Karl Münger 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 Karl Münger. Karl Münger 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.
Grace, Miranda, et al.. (2024). The HPV101 E7 protein shares host cellular targets and biological activities with high-risk HPV16 E7. SHILAP Revista de lepidopterología. 19. 200300–200300.
2.
Grace, Miranda, et al.. (2023). The HPV8 E6 protein targets the Hippo and Wnt signaling pathways as part of its arsenal to restrain keratinocyte differentiation. mBio. 14(5). e0155623–e0155623. 6 indexed citations
3.
Grace, Miranda, Tara J. Nulton, Brad E. Windle, et al.. (2019). PTPN14 degradation by high-risk human papillomavirus E7 limits keratinocyte differentiation and contributes to HPV-mediated oncogenesis. Proceedings of the National Academy of Sciences. 116(14). 7033–7042. 79 indexed citations
4.
Wallace, Nicholas A. & Karl Münger. (2018). The curious case of APOBEC3 activation by cancer-associated human papillomaviruses. PLoS Pathogens. 14(1). e1006717–e1006717. 22 indexed citations
5.
Münger, Karl, et al.. (2017). KDM6A addiction of cervical carcinoma cell lines is triggered by E7 and mediated by p21CIP1 suppression of replication stress. PLoS Pathogens. 13(10). e1006661–e1006661. 32 indexed citations
6.
Varone, Antonio, Joanna Xylas, Kyle P. Quinn, et al.. (2014). Endogenous Two-Photon Fluorescence Imaging Elucidates Metabolic Changes Related to Enhanced Glycolysis and Glutamine Consumption in Precancerous Epithelial Tissues. Cancer Research. 74(11). 3067–3075. 128 indexed citations
7.
Roman, Ann & Karl Münger. (2013). The papillomavirus E7 proteins. Virology. 445(1-2). 138–168. 311 indexed citations
8.
9.
Zhou, Xiaobo & Karl Münger. (2010). Clld7, A Candidate Tumor Suppressor on Chromosome 13q14, Regulates Pathways of DNA Damage/Repair and Apoptosis. Cancer Research. 70(22). 9434–9443. 12 indexed citations
10.
Korzeniewski, Nina, Léon Zheng, Rolando Cuevas, et al.. (2009). Cullin 1 Functions as a Centrosomal Suppressor of Centriole Multiplication by Regulating Polo-like Kinase 4 Protein Levels. Cancer Research. 69(16). 6668–6675. 47 indexed citations
11.
Nguyen, Christine & Karl Münger. (2008). Human Papillomavirus E7 Protein Deregulates Mitosis via an Association with Nuclear Mitotic Apparatus Protein 1. Journal of Virology. 83(4). 1700–1707. 39 indexed citations
12.
McLaughlin-Drubin, Margaret E. & Karl Münger. (2008). The human papillomavirus E7 oncoprotein. Virology. 384(2). 335–344. 314 indexed citations
13.
McLaughlin-Drubin, Margaret E. & Karl Münger. (2007). Viruses associated with human cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1782(3). 127–150. 276 indexed citations
14.
Badizadegan, Kamran, Vadim Backman, Charles W. Boone, et al.. (2003). Spectroscopic diagnosis and imaging of invisible pre-cancer. Faraday Discussions. 126. 265–265. 57 indexed citations
15.
16.
Münger, Karl. (2002). Disruption of Oncogene/Tumor Suppressor Networks During Human Carcinogenesis. Cancer Investigation. 20(1). 71–81. 28 indexed citations
17.
Oettgen, Peter, Rhoda M. Alani, Marcello A. Barcinski, et al.. (1997). Isolation and Characterization of a Novel Epithelium-Specific Transcription Factor, ESE-1, a Member of the ets Family. Molecular and Cellular Biology. 17(8). 4419–4433. 194 indexed citations
18.
Jones, D. Leanne, David Thompson, & Karl Münger. (1997). Destabilization of the RB Tumor Suppressor Protein and Stabilization of p53 Contribute to HPV Type 16 E7-Induced Apoptosis. Virology. 239(1). 97–107. 215 indexed citations
19.
Clemens, Karen E., Roger Brent, Jenő Gyuris, & Karl Münger. (1995). Dimerization of the Human Papillomavirus E7 Oncoproteinin Vivo. Virology. 214(1). 289–293. 47 indexed citations
20.
Scheffner, Martin, H Romanczuk, Karl Münger, et al.. (1994). Functions of Human Papillomavirus Proteins. Current topics in microbiology and immunology. 186. 83–99. 92 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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