Anna Müller

26 papers receiving 3.5k citations

Anna Müller's Hit Papers

A new antibiotic kills pathogens without detectable resistance 2015 · 2k citations
2k0+3+7Years since publication5001k1.5k2k

Peers

Anna Müller
Comparison fields: 5 of 115
  • Microbiology 857
  • Pharmacology 1k
  • Molecular Medicine 401
  • Applied Microbiology and Biotechnology 110
  • Infectious Diseases 482
Replace Aaron J. Peoples with:
Aaron J. Peoples United States
Losee L. Ling United States
Heike Brötz‐Oesterhelt Germany
Dallas E. Hughes United States
Brian P. Conlon United States
Till F. Schäberle Germany
William P. Millett United States
Victoria A. Steadman United States
K. Ashley Fetterman United States
Douglas R. Cohen United States
Anna Müller relative to Aaron J. Peoples United States Aaron J. Peoples's profile →
Citations per field
00.5×1.6×
Aaron J. Peoples · 1×
Citations per year

Countries citing papers authored by Anna Müller

Since Specialization
Citations

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

Fields of papers citing papers by Anna Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Müller, 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 Anna Müller Line = papers co-authored together Anna Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new antibiotic kills pathogens without detectable resistance
Hit paper breakdown →
20152050
2 2016349
3 2020183
4 2013110
5 2020100
6 202191
7 201984
8 201480
9 201778
10 201167
11 201356
12 201251
13 201948
14 201447
15 201741
16 201638
17 202134
18 201230
19 201125
20 202119

About Anna Müller

Anna Müller is a scholar working on Microbiology, Pharmacology, Infectious Diseases, Genetics and Organic Chemistry, having authored 28 papers that have together received 3.6k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (14 papers), Microbial Natural Products and Biosynthesis (11 papers), Bacterial Genetics and Biotechnology (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Antimicrobial agents and applications (3 papers), Molecular spectroscopy and chirality (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Microbiology (857 citations), Pharmacology (1k citations), Molecular Medicine (401 citations), Applied Microbiology and Biotechnology (110 citations) and Infectious Diseases (482 citations). Anna Müller has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Tanja Schneider, Hans‐Georg Sahl, Fabian Grein, Anna Klöckner, Kevin Christopher Ludwig, Michaela Wenzel, Julia Elisabeth Bandow, Bastian Kohl, Leendert Willem Hamoen and Terrens N. V. Saaki. Their work appears in journals such as RSC Chemical Biology, Nature Communications, Antimicrobial Agents and Chemotherapy, International Journal of Medical Microbiology and Proceedings of the National Academy of Sciences.

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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