Joachim Morschhäuser

10.7k total citations · 1 hit paper
165 papers, 8.2k citations indexed

About

Joachim Morschhäuser is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Joachim Morschhäuser has authored 165 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Infectious Diseases, 112 papers in Epidemiology and 57 papers in Molecular Biology. Recurrent topics in Joachim Morschhäuser's work include Antifungal resistance and susceptibility (141 papers), Fungal Infections and Studies (86 papers) and Pneumocystis jirovecii pneumonia detection and treatment (48 papers). Joachim Morschhäuser is often cited by papers focused on Antifungal resistance and susceptibility (141 papers), Fungal Infections and Studies (86 papers) and Pneumocystis jirovecii pneumonia detection and treatment (48 papers). Joachim Morschhäuser collaborates with scholars based in Germany, United States and Italy. Joachim Morschhäuser's co-authors include P. David Rogers, Peter Staib, Oliver Reuß, Sonja Michel, Åshild Vik, Roberto Kolter, Katherine S. Barker, Nico Dunkel, R. Franz and Markus Ruhnke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Joachim Morschhäuser

158 papers receiving 8.0k citations

Hit Papers

The SAT1 flipper, an optimized tool for gene disruption i... 2004 2026 2011 2018 2004 200 400 600
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 SAT1 flipper, an optimized tool for gene disruption in Candida albicans
    2004 625 citations Joachim Morschhäuser 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
Joachim Morschhäuser Germany 50 6.1k 4.6k 2.8k 1.0k 940 165 8.2k
P. David Rogers United States 44 4.8k 0.8× 3.8k 0.8× 1.5k 0.5× 835 0.8× 612 0.7× 109 6.5k
Rajendra Prasad India 46 3.4k 0.6× 2.5k 0.5× 3.3k 1.2× 1.1k 1.1× 798 0.8× 242 7.5k
Leah E. Cowen Canada 51 6.2k 1.0× 4.2k 0.9× 3.9k 1.4× 1.7k 1.7× 1.1k 1.2× 156 10.1k
Clarissa J. Nobile United States 43 6.2k 1.0× 3.7k 0.8× 3.0k 1.1× 807 0.8× 1.3k 1.4× 110 8.3k
William A. Fonzi United States 35 4.8k 0.8× 3.1k 0.7× 3.0k 1.1× 1.2k 1.2× 757 0.8× 68 6.7k
Richard Calderone United States 48 5.2k 0.9× 3.3k 0.7× 2.7k 1.0× 1.4k 1.3× 765 0.8× 186 7.4k
Christophe d’Enfert France 55 4.8k 0.8× 3.2k 0.7× 3.9k 1.4× 1.7k 1.6× 1.1k 1.2× 176 8.7k
Jesús Plá Spain 45 3.7k 0.6× 2.4k 0.5× 3.2k 1.1× 1.1k 1.1× 604 0.6× 128 6.0k
Françoise Ischer Switzerland 22 3.5k 0.6× 2.6k 0.6× 1.1k 0.4× 581 0.6× 409 0.4× 25 4.5k
Karl V. Clemons United States 45 4.5k 0.7× 3.8k 0.8× 1.9k 0.7× 814 0.8× 629 0.7× 200 7.0k

Countries citing papers authored by Joachim Morschhäuser

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Morschhäuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Morschhäuser

This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Morschhäuser. A scholar is included among the top collaborators of Joachim Morschhäuser 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 Joachim Morschhäuser. Joachim Morschhäuser 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
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Cruz, Melissa R., et al.. (2023). Host-derived reactive oxygen species trigger activation of the Candida albicans transcription regulator Rtg1/3. PLoS Pathogens. 19(9). e1011692–e1011692. 1 indexed citations
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Ramírez‐Zavala, Bernardo, et al.. (2021). The zinc cluster transcription factor Rha1 is a positive filamentation regulator in Candida albicans. Genetics. 220(1). 5 indexed citations
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Allert, Stefanie, Toni M. Förster, Carl‐Magnus Svensson, et al.. (2018). Candida albicans-Induced Epithelial Damage Mediates Translocation through Intestinal Barriers. mBio. 9(3). 151 indexed citations
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Edgerton, Mira, et al.. (2017). An acquired mechanism of antifungal drug resistance simultaneously enables Candida albicans to escape from intrinsic host defenses. PLoS Pathogens. 13(9). e1006655–e1006655. 36 indexed citations
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Dreschers, Stephan, et al.. (2016). Reduced PICD in Monocytes Mounts Altered Neonate Immune Response to Candida albicans. PLoS ONE. 11(11). e0166648–e0166648. 12 indexed citations
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Schneider, Sabrina & Joachim Morschhäuser. (2014). Induction of Candida albicans Drug Resistance Genes by Hybrid Zinc Cluster Transcription Factors. Antimicrobial Agents and Chemotherapy. 59(1). 558–569. 16 indexed citations
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Sasse, Christoph & Joachim Morschhäuser. (2012). Gene Deletion in Candida albicans Wild-Type Strains Using the SAT1-Flipping Strategy. Methods in molecular biology. 845. 3–17. 33 indexed citations
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Hartmann, Thomas, et al.. (2010). Validation of a Self-Excising Marker in the Human Pathogen Aspergillus fumigatus by Employing the β-Rec/ six Site-Specific Recombination System. Applied and Environmental Microbiology. 76(18). 6313–6317. 96 indexed citations
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Hoehamer, Christopher F., et al.. (2009). Upc2p‐associated differential protein expression in Candida albicans. PROTEOMICS. 9(20). 4726–4730. 7 indexed citations
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Morschhäuser, Joachim, et al.. (2007). The Transcription Factor Mrr1p Controls Expression of the MDR1 Efflux Pump and Mediates Multidrug Resistance in Candida albicans. PLoS Pathogens. 3(11). e164–e164. 260 indexed citations
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Sanglard, Dominique, et al.. (2006). Overexpression of the MDR1 Gene Is Sufficient To Confer Increased Resistance to Toxic Compounds in Candida albicans. Antimicrobial Agents and Chemotherapy. 50(4). 1365–1371. 69 indexed citations
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Morschhäuser, Joachim. (2003). Resistenzen und Resistenzmechanismen: Wie „entkommen” Pilze der Therapie?. Pharmazie in unserer Zeit. 32(2). 124–129. 5 indexed citations
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Staib, Peter, et al.. (2001). Gene regulation and host adaptation mechanisms in Candida albicans. International Journal of Medical Microbiology. 291(2). 183–188. 21 indexed citations
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Lischewski, A., Dag Harmsen, Jörg Hacker, & Joachim Morschhäuser. (1997). Standardized molecular typing of Candida albicans strains. Mycoses. 40(9-10). 369–372. 7 indexed citations
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Lischewski, A., et al.. (1995). Molecular epidemiology of Candida isolates from AIDS patients showing different fluconazole resistance profiles. Journal of Clinical Microbiology. 33(3). 769–771. 30 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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