Philipp C. Münch

4.6k total citations · 2 hit papers
28 papers, 2.4k citations indexed

About

Philipp C. Münch is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Philipp C. Münch has authored 28 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Plant Science. Recurrent topics in Philipp C. Münch's work include Genomics and Phylogenetic Studies (7 papers), Gut microbiota and health (6 papers) and RNA and protein synthesis mechanisms (4 papers). Philipp C. Münch is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Gut microbiota and health (6 papers) and RNA and protein synthesis mechanisms (4 papers). Philipp C. Münch collaborates with scholars based in Germany, United States and Switzerland. Philipp C. Münch's co-authors include Alice C. McHardy, Paul Schulze‐Lefert, Rubén Garrido‐Oter, Yao Pan, Davide Bulgarelli, Johannes Dröge, Yang Bai, G. Srinivas, Stijn Spaepen and Julia A. Vorholt and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Philipp C. Münch

27 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

Structure and Function of the Bacterial Root Microbiota in Wild and Domesticated Barley

2015 941 citations Davide Bulgarelli, Rubén Garrido‐Oter et al. Cell Host & Microbe profile →
Functional overlap of the Arabidopsis leaf and root microbiota

2015 867 citations Yang Bai, Daniel Müller et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp C. Münch Germany	12	1.7k	833	496	324	149	28	2.4k
Jessy Labbé United States	27	1.7k 1.0×	799 1.0×	362 0.7×	434 1.3×	161 1.1×	61	2.4k
Viviane Cordovez Netherlands	17	1.9k 1.1×	542 0.7×	338 0.7×	447 1.4×	130 0.9×	28	2.4k
Alain Sarniguet France	26	1.6k 1.0×	690 0.8×	335 0.7×	337 1.0×	96 0.6×	42	2.3k
Martin Filion Canada	28	1.8k 1.1×	543 0.7×	328 0.7×	435 1.3×	251 1.7×	89	2.4k
Gwyn A. Beattie United States	31	2.3k 1.3×	764 0.9×	362 0.7×	407 1.3×	67 0.4×	62	3.0k
Natacha Bodenhausen Switzerland	22	2.6k 1.5×	904 1.1×	435 0.9×	414 1.3×	166 1.1×	35	3.4k
Chao Xiong China	18	1.5k 0.9×	478 0.6×	620 1.3×	310 1.0×	333 2.2×	41	2.1k
Paulo José Pereira Lima Teixeira United States	26	2.6k 1.5×	996 1.2×	288 0.6×	344 1.1×	153 1.0×	46	3.2k
Juan E. Pérez‐Jaramillo Colombia	8	1.7k 1.0×	421 0.5×	313 0.6×	256 0.8×	183 1.2×	14	2.0k

Countries citing papers authored by Philipp C. Münch

Since Specialization

Citations

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

Fields of papers citing papers by Philipp C. Münch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp C. Münch. 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 Philipp C. Münch. The network helps show where Philipp C. Münch may publish in the future.

Co-authorship network of co-authors of Philipp C. Münch

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp C. Münch. A scholar is included among the top collaborators of Philipp C. Münch 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 Philipp C. Münch. Philipp C. Münch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Münch, Philipp C., et al.. (2025). Comparison of different AI systems for diagnosing sepsis, septic shock, and cardiogenic shock: a retrospective study. Scientific Reports. 15(1). 15850–15850. 2 indexed citations

Meyer, Fernando, et al.. (2024). Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes. Briefings in Bioinformatics. 25(3). 10 indexed citations

Franzosa, Eric A., Curtis Huttenhower, Mina Rezaei, et al.. (2024). Optimized model architectures for deep learning on genomic data. Communications Biology. 7(1). 516–516. 1 indexed citations

Münch, Philipp C., Claudia Eberl, Diana Ring, et al.. (2023). Pulsed antibiotic treatments of gnotobiotic mice manifest in complex bacterial community dynamics and resistance effects. Cell Host & Microbe. 31(6). 1007–1020.e4. 7 indexed citations

Binder, Martin, et al.. (2023). A self-supervised deep learning method for data-efficient training in genomics. Communications Biology. 6(1). 928–928. 9 indexed citations

Ghazi, Andrew R., et al.. (2022). Strain Identification and Quantitative Analysis in Microbial Communities. Journal of Molecular Biology. 434(15). 167582–167582. 20 indexed citations

Deng, Zhi-Luo, et al.. (2022). Rapid and accurate identification of ribosomal RNA sequences via deep learning. Nucleic Acids Research. 50(10). e60–e60. 66 indexed citations

Münch, Philipp C., et al.. (2022). Slip Detection and Control for Harvesting Machines. IFAC-PapersOnLine. 55(32). 18–23. 1 indexed citations

Weiß, Anna S., Anna G. Burrichter, Abilash Chakravarthy Durai Raj, et al.. (2021). In vitro interaction network of a synthetic gut bacterial community. The ISME Journal. 16(4). 1095–1109. 93 indexed citations

10.

Deng, Zhi-Luo, Akshay Dhingra, Adrian Fritz, et al.. (2020). Evaluating assembly and variant calling software for strain-resolved analysis of large DNA viruses. Briefings in Bioinformatics. 22(3). 16 indexed citations

11.

Eberl, Claudia, Diana Ring, Philipp C. Münch, et al.. (2020). Reproducible Colonization of Germ-Free Mice With the Oligo-Mouse-Microbiota in Different Animal Facilities. Frontiers in Microbiology. 10. 2999–2999. 69 indexed citations

12.

Münch, Philipp C., Eric A. Franzosa, Bärbel Stecher, Alice C. McHardy, & Curtis Huttenhower. (2020). Identification of Natural CRISPR Systems and Targets in the Human Microbiome. Cell Host & Microbe. 29(1). 94–106.e4. 18 indexed citations

13.

Asgari, Ehsaneddin, Philipp C. Münch, Till Robin Lesker, Alice C. McHardy, & Mohammad R. K. Mofrad. (2018). DiTaxa: nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection. Bioinformatics. 35(14). 2498–2500. 10 indexed citations

14.

Duggimpudi, Sujitha, Andreas Kloetgen, Sathish Kumar Maney, et al.. (2018). Transcriptome-wide analysis uncovers the targets of the RNA-binding protein MSI2 and effects of MSI2's RNA-binding activity on IL-6 signaling. Journal of Biological Chemistry. 293(40). 15359–15369. 30 indexed citations

15.

Krause, Susanne, Andreas Bremges, Philipp C. Münch, Alice C. McHardy, & Johannes Gescher. (2017). Characterisation of a stable laboratory co-culture of acidophilic nanoorganisms. Scientific Reports. 7(1). 3289–3289. 39 indexed citations

16.

Hacquard, Stéphane, Barbara Kracher, Kei Hiruma, et al.. (2016). Survival trade-offs in plant roots during colonization by closely related beneficial and pathogenic fungi. Nature Communications. 7(1). 11362–11362. 191 indexed citations

17.

Bulgarelli, Davide, Rubén Garrido‐Oter, Philipp C. Münch, et al.. (2015). Structure and Function of the Bacterial Root Microbiota in Wild and Domesticated Barley. Cell Host & Microbe. 17(3). 392–403. 941 indexed citations breakdown →

18.

Bai, Yang, Daniel Müller, G. Srinivas, et al.. (2015). Functional overlap of the Arabidopsis leaf and root microbiota. Nature. 528(7582). 364–369. 867 indexed citations breakdown →

19.

Burtey, Stéphane, et al.. (2005). Cloning and expression of the amphibian homologue of the human PKD1 gene. Gene. 357(1). 29–36. 8 indexed citations

20.

Schneede, P., Philipp C. Münch, Fabian Ziller, & A. Hofstetter. (2001). Harnröhrenkondylome. Der Hautarzt. 52(5). 411–417. 11 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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