Bruno M. Moerschbacher

8.0k total citations
185 papers, 6.1k citations indexed

About

Bruno M. Moerschbacher is a scholar working on Molecular Biology, Plant Science and Biomaterials. According to data from OpenAlex, Bruno M. Moerschbacher has authored 185 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 88 papers in Plant Science and 49 papers in Biomaterials. Recurrent topics in Bruno M. Moerschbacher's work include Studies on Chitinases and Chitosanases (63 papers), Nanocomposite Films for Food Packaging (47 papers) and Enzyme Production and Characterization (26 papers). Bruno M. Moerschbacher is often cited by papers focused on Studies on Chitinases and Chitosanases (63 papers), Nanocomposite Films for Food Packaging (47 papers) and Enzyme Production and Characterization (26 papers). Bruno M. Moerschbacher collaborates with scholars based in Germany, Kazakhstan and India. Bruno M. Moerschbacher's co-authors include Nour Eddine El Gueddari, Stefan Cord‐Landwehr, H. J. Reisener, Francisco M. Goycoolea, Ulrike Noll, Sruthi Sreekumar, Stephan Kolkenbrock, Appa Rao Podile, Gustavo R. Rivera-Rodríguez and Ratna Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Bruno M. Moerschbacher

182 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno M. Moerschbacher Germany 43 2.9k 2.7k 1.6k 712 625 185 6.1k
Vincent Bulone Sweden 45 3.6k 1.2× 2.5k 0.9× 1.2k 0.8× 684 1.0× 1.1k 1.7× 179 6.7k
Yuguang Du China 42 1.5k 0.5× 2.1k 0.8× 824 0.5× 545 0.8× 752 1.2× 153 4.9k
Huahua Yu China 43 931 0.3× 1.5k 0.6× 1.5k 0.9× 420 0.6× 499 0.8× 184 5.7k
Finn L. Aachmann Norway 33 1.0k 0.4× 1.8k 0.7× 943 0.6× 1.0k 1.4× 1.6k 2.6× 137 4.8k
Song Liu China 46 1.4k 0.5× 1.6k 0.6× 2.1k 1.3× 399 0.6× 563 0.9× 180 6.9k
Yaqin Hu China 47 817 0.3× 1.3k 0.5× 1.9k 1.2× 579 0.8× 563 0.9× 142 6.4k
Zhe Chi China 40 1.5k 0.5× 2.4k 0.9× 568 0.4× 1.1k 1.5× 1.6k 2.6× 203 5.4k
Wenshui Xia China 58 1.1k 0.4× 3.7k 1.4× 2.7k 1.7× 545 0.8× 721 1.2× 283 10.2k
Helmut Schwab Austria 41 961 0.3× 4.4k 1.6× 1.0k 0.6× 942 1.3× 990 1.6× 153 6.9k
Margarida Casal Portugal 41 917 0.3× 2.9k 1.1× 1.1k 0.7× 303 0.4× 1.4k 2.2× 137 5.7k

Countries citing papers authored by Bruno M. Moerschbacher

Since Specialization
Citations

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

Fields of papers citing papers by Bruno M. Moerschbacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno M. Moerschbacher. 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 Bruno M. Moerschbacher. The network helps show where Bruno M. Moerschbacher may publish in the future.

Co-authorship network of co-authors of Bruno M. Moerschbacher

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno M. Moerschbacher. A scholar is included among the top collaborators of Bruno M. Moerschbacher 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 Bruno M. Moerschbacher. Bruno M. Moerschbacher 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.
Moerschbacher, Bruno M., et al.. (2024). Fast insights into chitosan-cleaving enzymes by simultaneous analysis of polymers and oligomers through size exclusion chromatography. Scientific Reports. 14(1). 3417–3417. 5 indexed citations
2.
Falcone, Franco H., Fabian Herrmann, Stefan Cord‐Landwehr, et al.. (2024). High molecular/low acetylated chitosans reduce adhesion of Campylobacter jejuni to host cells by blocking JlpA. Applied Microbiology and Biotechnology. 108(1). 171–171. 4 indexed citations
3.
Trombotto, Stéphane, et al.. (2024). Heterogeneously deacetylated chitosans possess an unexpected regular pattern favoring acetylation at every third position. Nature Communications. 15(1). 6695–6695. 7 indexed citations
4.
5.
Moerschbacher, Bruno M., et al.. (2021). Chitin Deacetylase as a Biocatalyst for the Selective N-Acylation of Chitosan Oligo- and Polymers. ACS Catalysis. 11(23). 14456–14466. 16 indexed citations
6.
Moerschbacher, Bruno M., et al.. (2020). Transcriptome Analysis of Solanum Tuberosum Genotype RH89-039-16 in Response to Chitosan. Frontiers in Plant Science. 11. 1193–1193. 17 indexed citations
7.
Tempel, Hermann, et al.. (2020). Polyethylene oxide‐Li6.5La3Zr1.5Ta0.5O12 hybrid electrolytes: Lithium salt concentration and biopolymer blending. SHILAP Revista de lepidopterología. 1(2). 6 indexed citations
8.
Honorato, Talita Lopes, et al.. (2020). The Pattern of Acetylation Defines the Priming Activity of Chitosan Tetramers. Journal of the American Chemical Society. 142(4). 1975–1986. 75 indexed citations
9.
Gubaev, Airat, et al.. (2018). ‘Slipped Sandwich’ Model for Chitin and Chitosan Perception in Arabidopsis. Molecular Plant-Microbe Interactions. 31(11). 1145–1153. 66 indexed citations
10.
Remoroza, Concepcion A., Martin Wagenknecht, Fangjie Gu, et al.. (2014). A Bacillus licheniformis pectin acetylesterase is specific for homogalacturonans acetylated at O-3. Carbohydrate Polymers. 107. 85–93. 15 indexed citations
11.
Alonso, Marı́a José, J. Werner, Francisco M. Goycoolea, et al.. (2013). Chitosan-based nanomaterials for drug delivery and antibiotic-free bacterial control. TechConnect Briefs. 3(2013). 217–220. 1 indexed citations
12.
Werner, J., et al.. (2013). Lysozyme – alginate nanocomplex: Effect of alginate composition. TechConnect Briefs. 3(2013). 331–334. 2 indexed citations
13.
Pretorius, Z. A., et al.. (2010). HISTOLOGICAL AND INITIAL MOLECULAR ANALYSIS OF UG99, THE SR31-BREAKING RACE OF THE WHEAT STEM RUST FUNGUS. Journal of Plant Pathology. 92(3). 709–720. 3 indexed citations
14.
Rajulu, M. B. Govinda, et al.. (2010). Chitinolytic enzymes from endophytic fungi. Fungal Diversity. 47(1). 43–53. 62 indexed citations
15.
Moerschbacher, Bruno M., et al.. (2010). Expression of green fluorescent protein in the obligately biotrophic fungal plant pathogen Puccinia graminis f. sp. tritici.. Journal of Plant Diseases and Protection. 117(6). 258–260. 1 indexed citations
16.
Chilukoti, Neeraja, Rajagopal Subramanyam, Bruno M. Moerschbacher, & Appa Rao Podile. (2010). Swapping the chitin-binding domain in Bacillus chitinases improves the substrate binding affinity and conformational stability. Molecular BioSystems. 6(8). 1492–1502. 10 indexed citations
17.
18.
Moerschbacher, Bruno M. & H. J. Reisener. (1997). The hypersensitive resistance reaction. RWTH Publications (RWTH Aachen). 8 indexed citations
19.
Reisener, H. J., et al.. (1990). Photosynthesis of rusted wheat. RWTH Publications (RWTH Aachen). 1 indexed citations
20.
Moerschbacher, Bruno M., B. Flott, Ulrike Noll, & H. J. Reisener. (1989). On the speciifity of an elicitor preparation from stem rust which induces lignification in wheat leaves.. Plant Physiology and Biochemistry. 27(2). 305–314. 32 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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