Mueller AU

467 citations
5 papers · 362 · h-index 4

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • vaccines and immunoinformatics approaches 1
    • Bacterial Genetics and Biotechnology 3

Mueller AU

4 papers receiving 357 citations

Peers

Mueller AU
Comparison fields: 5 of 51
  • Microbiology 84
  • Molecular Medicine 54
  • Pharmacology 130
  • Infectious Diseases 78
  • Molecular Biology 251
Replace Kevin C. Ludwig with:
Kevin C. Ludwig Germany
Karen O’Dwyer United States
Sang Kyun Ahn Canada
Srinivas Kodali United States
Varvara Pokrovskaya Israel
Renee M. Fleeman United States
Vladimir Vimberg Czechia
David Degen United States
Esther García‐Fernández Spain
Gaston Vondenhoff Belgium
Mueller AU relative to Kevin C. Ludwig Germany Kevin C. Ludwig's profile →
Citations per field
00.5×10×20×30×35×
Kevin C. Ludwig · 1×
Citations per year

Countries citing papers authored by Mueller AU

Since Specialization
Citations

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

Fields of papers citing papers by Mueller AU

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mueller AU, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mueller AU Line = papers co-authored together Mueller AU links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2014347
2 20247
3 20234
4 20254
5 20250

About Mueller AU

Mueller AU is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Structural Biology and Epidemiology, having authored 5 papers that have together received 362 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (2 papers), Advanced Electron Microscopy Techniques and Applications (1 paper), vaccines and immunoinformatics approaches (1 paper), Mycobacterium research and diagnosis (1 paper), Antibiotic Resistance in Bacteria (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Microbiology (84 citations), Molecular Medicine (54 citations), Pharmacology (130 citations), Infectious Diseases (78 citations) and Molecular Biology (251 citations). Mueller AU has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Tatos Akopian, Aaron J. Peoples, Clarissa S. Sit, Dallas E. Hughes, Ekaterina Gavrish, Losee L. Ling, Shugeng Cao, Slava S. Epstein, Alfred L. Goldberg and Amy L. Spoering. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Science Advances, Nature Structural & Molecular Biology and Chemistry & Biology.

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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