Michaela Beyerle

551 citations
3 papers · 394 · h-index 3

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

Michaela Beyerle

3 papers receiving 388 citations

Peers

Michaela Beyerle
Comparison fields: 5 of 58
  • Infectious Diseases 165
  • Epidemiology 220
  • Immunology 97
  • Animal Science and Zoology 34
  • Agronomy and Crop Science 20
Replace Jane Kristin Nøstbakken with:
Jane Kristin Nøstbakken Norway
Bastian Hatesuer Germany
Marion Russier United States
Kaori Okada United States
Haley L. Dugan United States
Lauren Turrell United Kingdom
Daniel Dlugolenski United States
Pin Wan China
J Bremner United Kingdom
Sathya N. Thulasi Raman Canada
Michaela Beyerle relative to Jane Kristin Nøstbakken Norway Jane Kristin Nøstbakken's profile →
Citations per field
00.5×2.6×
Jane Kristin Nøstbakken · 1×
Citations per year

Countries citing papers authored by Michaela Beyerle

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Beyerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michaela Beyerle, 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 Michaela Beyerle Line = papers co-authored together Michaela Beyerle links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Michaela Beyerle

Michaela Beyerle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Epidemiology and Infectious Diseases, having authored 3 papers that have together received 394 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Peptidase Inhibition and Analysis (1 paper), Ion channel regulation and function (1 paper), Influenza Virus Research Studies (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (165 citations), Epidemiology (220 citations), Immunology (97 citations), Animal Science and Zoology (34 citations) and Agronomy and Crop Science (20 citations). Michaela Beyerle has collaborated with scholars based in Germany. Frequent co-authors include Hans‐Dieter Klenk, Mikhail Matrosovich, Wolfgang Garten, Tatyana Matrosovich, Gerhard Hapfelmeier, Rainer Haseneder, E. Kochs, Timon Vassiliou, Leopold Eberhart and Hans‐Helge Müller. Their work appears in journals such as Anesthesia & Analgesia, Journal of Virology and Journal of Pharmacology and Experimental Therapeutics.

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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