Claudia Müller

1.4k citations
31 papers · 1.0k indexed · h-index 16
Topics
Escherichia coli research studies (5 papers)Bacterial Genetics and Biotechnology (4 papers)Protein Structure and Dynamics (3 papers)
Partner nations
GermanySwitzerlandFrance

In The Last Decade

Claudia Müller

29 papers receiving 1.0k citations

Peers

Claudia Müller
Comparison fields: 5 of 108
  • Molecular Biology 349
  • Genetics 186
  • Epidemiology 169
  • Endocrinology 167
  • Food Science 145
Replace Adrian R. Woolfitt with:
Adrian R. Woolfitt United States
Jan ten Hove Netherlands
Shin‐Hee Kim United States
Vineet K. Singh United States
Suming Zhou China
Tomoko Yoda Japan
Denice C. Bay Canada
M. F. Landoni Argentina
T Nishino Japan
Federico C. Beasley United States
Claudia Müller relative to Adrian R. Woolfitt United States Adrian R. Woolfitt's profile →
Citations per field
00.5×1.7×
Adrian R. Woolfitt · 1×
Citations per year

Countries citing papers authored by Claudia Müller

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Müller. A scholar is included among the top collaborators of Claudia Müller 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 Claudia Müller. Claudia Müller 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
#WorkIndexed citations
1 0
2 32
3 2
4 15
5 30
6 51
7 114
8 15
9 10
10 38
11 119
12 31
13 24
14 215
15 39
16 16
17
[Analysis of the results of 137 subclinical breast lesions excisions. Value of ultrasonography in the early diagnosis of breast cancer].
15
18
Monitoring of CMV infection: a comparison of PCR from whole blood, plasma-PCR, pp65-antigenemia and virus culture in patients after bone marrow transplantation.
50
19 3
20 1

About Claudia Müller

Claudia Müller is a scholar working on Endocrinology, Ecological Modeling and Molecular Medicine, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Endocrinology (167 citations), Molecular Medicine (88 citations) and Food Science (145 citations). Claudia Müller has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Wolfgang Weinmann, Bernt Eric Uhlin, Susanne Vogt, Levente Emödy, Matthew E. Wand, Richard W. Titball, Stephen L. Michell, Ulrich Dobrindt, Jörg Hacker and Carlos Balsalobre. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology and Infection and Immunity.

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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