Natalie Müller

22 total papers · 792 total citations
13 papers, 573 citations indexed

About

Natalie Müller is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Natalie Müller has authored 13 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Natalie Müller's work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (5 papers) and Trypanosoma species research and implications (3 papers). Natalie Müller is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (5 papers) and Trypanosoma species research and implications (3 papers). Natalie Müller collaborates with scholars based in Switzerland, Brazil and Malaysia. Natalie Müller's co-authors include Florian Μ. Wurm, Philippe Girard, Martin Jordan, David L. Hacker, Madiha Derouazi, Martin Bertschinger, Sylviane Picasso, Lucia Baldi, Bárbara Maria Ianni and Jorge Kalil and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Natalie Müller

11 papers receiving 545 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalie Müller 435 207 104 89 70 13 573
Andrew Bett 318 0.7× 264 1.3× 116 1.1× 31 0.3× 111 1.6× 19 606
Scott H. Stansfield 476 1.1× 130 0.6× 42 0.4× 178 2.0× 105 1.5× 14 673
Susanne Corisdeo 255 0.6× 101 0.5× 152 1.5× 64 0.7× 66 0.9× 13 603
Phaik‐Mooi Leong 354 0.8× 143 0.7× 131 1.3× 43 0.5× 73 1.0× 8 624
Lotte Hougs 307 0.7× 108 0.5× 112 1.1× 74 0.8× 33 0.5× 21 583
Stephanie Sandefur 287 0.7× 75 0.4× 83 0.8× 72 0.8× 29 0.4× 12 607
Andreas Hüser 323 0.7× 197 1.0× 39 0.4× 45 0.5× 60 0.9× 11 563
Brian Cass 501 1.2× 204 1.0× 19 0.2× 148 1.7× 94 1.3× 19 601
Irene C. Schneider 329 0.8× 360 1.7× 103 1.0× 42 0.5× 198 2.8× 21 547
Sandra Rayner 261 0.6× 188 0.9× 72 0.7× 265 3.0× 40 0.6× 19 616

Countries citing papers authored by Natalie Müller

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Müller. A scholar is included among the top collaborators of Natalie 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 Natalie Müller. Natalie Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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