Grit Walther

8.7k total citations
71 papers, 2.0k citations indexed

About

Grit Walther is a scholar working on Cell Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Grit Walther has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cell Biology, 31 papers in Infectious Diseases and 26 papers in Epidemiology. Recurrent topics in Grit Walther's work include Plant Pathogens and Fungal Diseases (33 papers), Antifungal resistance and susceptibility (31 papers) and Fungal Infections and Studies (22 papers). Grit Walther is often cited by papers focused on Plant Pathogens and Fungal Diseases (33 papers), Antifungal resistance and susceptibility (31 papers) and Fungal Infections and Studies (22 papers). Grit Walther collaborates with scholars based in Germany, Netherlands and China. Grit Walther's co-authors include Oliver Kurzai, Sybren de Hoog, Lysett Wagner, Somayeh Dolatabadi, Kerstin Voigt, Michael Weiß, Ana Alastruey‐Izquierdo, Sigisfredo Garnica, Julia Pawłowska and Marta Wrzosek and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Grit Walther

67 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grit Walther Germany 24 819 769 741 592 496 71 2.0k
Vít Hubka Czechia 26 2.0k 2.4× 631 0.8× 2.0k 2.7× 613 1.0× 587 1.2× 90 3.4k
Janyce A. Sugui United States 22 843 1.0× 1.1k 1.5× 502 0.7× 650 1.1× 354 0.7× 38 2.2k
Jeffrey J. Coleman United States 24 718 0.9× 741 1.0× 497 0.7× 514 0.9× 191 0.4× 46 2.2k
Vito Valiante Germany 27 905 1.1× 677 0.9× 371 0.5× 293 0.5× 1.1k 2.3× 54 2.5k
Neriman Yılmaz South Africa 20 1.2k 1.5× 249 0.3× 1.2k 1.6× 168 0.3× 587 1.2× 45 2.1k
Kiminori Shimizu Japan 16 712 0.9× 406 0.5× 246 0.3× 319 0.5× 411 0.8× 62 1.5k
Feng‐Yan Bai China 31 1.5k 1.8× 498 0.6× 986 1.3× 449 0.8× 196 0.4× 120 3.2k
Célia Maria de Almeida Soares Brazil 29 759 0.9× 1.3k 1.7× 477 0.6× 1.8k 3.0× 172 0.3× 176 2.8k
N.P.J. Kriek South Africa 20 2.0k 2.4× 402 0.5× 998 1.3× 328 0.6× 172 0.3× 38 2.9k
Nora Grahl United States 21 468 0.6× 1.0k 1.3× 229 0.3× 622 1.1× 304 0.6× 27 2.0k

Countries citing papers authored by Grit Walther

Since Specialization
Citations

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

Fields of papers citing papers by Grit Walther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grit Walther

This figure shows the co-authorship network connecting the top 25 collaborators of Grit Walther. A scholar is included among the top collaborators of Grit Walther 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 Grit Walther. Grit Walther 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.
Zhang, Shuai‐Bing, et al.. (2025). Pangenome Analysis of the Plant Pathogen Pseudomonas syringae  Reveals Unique Natural Products for Niche Adaptation. Angewandte Chemie International Edition. 64(25). e202503679–e202503679.
2.
Ullah, AKM Ahsan, et al.. (2025). In vitro activity of novel antifungals, natamycin, and terbinafine against Fusarium. Antimicrobial Agents and Chemotherapy. 69(6). e0191324–e0191324. 1 indexed citations
3.
Scherlach, Kirstin, Grit Walther, Moffat Nyirenda, et al.. (2024). Maize Flour Processing Determines the Fumonisin Intake of South Malawi Residents. Journal of Food Processing and Preservation. 2024(1). 1 indexed citations
4.
Yang, Zhijie, Jens Preben Morth, Grit Walther, et al.. (2024). Alligamycin A, an antifungal β-lactone spiroketal macrolide from Streptomyces iranensis. Nature Communications. 15(1). 9259–9259. 4 indexed citations
6.
Krüger, Thomas, Franziska Schmidt, Zoltán Cseresnyés, et al.. (2024). The proteomic response of Aspergillus fumigatus to amphotericin B (AmB) reveals the involvement of the RTA-like protein RtaA in AmB resistance. PubMed. 6. uqae024–uqae024.
7.
Koch, Thorsten, et al.. (2024). Polyhexanide based contact lens storage fluids frequently exhibit insufficient antifungal activity against Fusarium species. International Journal of Medical Microbiology. 314. 151602–151602.
8.
Götze, Sebastian, Raghav Vij, Rita Müller, et al.. (2023). Ecological Niche-Inspired Genome Mining Leads to the Discovery of Crop-Protecting Nonribosomal Lipopeptides Featuring a Transient Amino Acid Building Block. Journal of the American Chemical Society. 145(4). 2342–2353. 18 indexed citations
9.
Grüner, Beate, et al.. (2023). An unusual presentation of invasive Fusarium aortitis in a patient who is immunocompromised: A case report. International Journal of Infectious Diseases. 134. 102–105. 1 indexed citations
10.
Barber, Amelia E., Kang Kang, Bastian Seelbinder, et al.. (2021). Aspergillus fumigatus pan-genome analysis identifies genetic variants associated with human infection. Nature Microbiology. 6(12). 1526–1536. 64 indexed citations
11.
Wais, Verena, et al.. (2020). First case of fatal Rhizomucor miehei endocarditis in an immunocompromised patient. Diagnostic Microbiology and Infectious Disease. 98(2). 115106–115106. 5 indexed citations
13.
Walther, Grit, Lysett Wagner, & Oliver Kurzai. (2019). Outbreaks of Mucorales and the Species Involved. Mycopathologia. 185(5). 765–781. 51 indexed citations
14.
Valiante, Vito, Derek J. Mattern, Anja Schüffler, et al.. (2017). Discovery of an Extended Austinoid Biosynthetic Pathway in Aspergillus calidoustus. ACS Chemical Biology. 12(5). 1227–1234. 24 indexed citations
15.
Dolatabadi, Somayeh, Grit Walther, A. H. G. Gerrits van den Ende, & Sybren de Hoog. (2013). Diversity and delimitation of Rhizopus microsporus. Fungal Diversity. 64(1). 145–163. 57 indexed citations
16.
Gryganskyi, Andrii P., Richard A. Humber, Matthew E. Smith, et al.. (2012). Molecular phylogeny of the Entomophthoromycota. Molecular Phylogenetics and Evolution. 65(2). 682–694. 64 indexed citations
17.
Eberhardt, Ursula, et al.. (2012). European Species of Hebeloma Section Theobromina. Fungal Diversity. 58(1). 103–126. 17 indexed citations
18.
Vitale, Roxana G., Sybren de Hoog, Patrick Schwarz, et al.. (2011). Antifungal Susceptibility and Phylogeny of Opportunistic Members of the Order Mucorales. Journal of Clinical Microbiology. 50(1). 66–75. 125 indexed citations
19.
Schrödl, Wieland, Volker Schwartze, Kerstin Hoffmann, et al.. (2011). Direct Analysis and Identification of Pathogenic Lichtheimia Species by Matrix-Assisted Laser Desorption Ionization–Time of Flight Analyzer-Mediated Mass Spectrometry. Journal of Clinical Microbiology. 50(2). 419–427. 61 indexed citations
20.
Walther, Grit, et al.. (1986). Early receptor potential recordings for clinical routine. Documenta Ophthalmologica. 62(1). 31–39. 2 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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