Andreas Nitsche

38.2k citations
252 papers · 22.0k indexed · 2 hit papers · h-index 49

Andreas Nitsche

246 papers receiving 21.4k citations

Hit Papers

SARS-CoV-2 Cell Entry...13.3k20032026201020184.0k8.0k12.0k

Peers

Andreas Nitsche
Comparison fields: 5 of 196
  • Infectious Diseases 12.8k
  • Virology 1.3k
  • Neurology 3.3k
  • Modeling and Simulation 557
  • Obstetrics and Gynecology 926
Replace Stefan Pöhlmann with:
Stefan Pöhlmann Germany
Georg Herrler Germany
Zheng‐Li Shi China
Bart L. Haagmans Netherlands
Wenhui Li China
Jason S. McLellan United States
Markus Hoffmann Germany
Marcel A. Müller Germany
Peng Zhou China
Lisa F. P. Ng Singapore
Andreas Nitsche relative to Stefan Pöhlmann Germany Stefan Pöhlmann's profile →
Citations per field
00.5×1.5×
Stefan Pöhlmann · 1×
Citations per year

Countries citing papers authored by Andreas Nitsche

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Nitsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20242
5 20240
6 20231
7 202211
8 20223
9 202212
10 202214
11 20216
12 202117
13 202027
14 20207
15 20201
16 202015
17 202014
18 201817
19 20176
20 20123

About Andreas Nitsche

Andreas Nitsche is a scholar working on Virology, Infectious Diseases, Epidemiology, Endocrinology and Parasitology, having authored 252 papers that have together received 22.0k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (66 papers), Herpesvirus Infections and Treatments (56 papers), Bacillus and Francisella bacterial research (35 papers), Viral Infections and Vectors (34 papers), Bacteriophages and microbial interactions (29 papers), SARS-CoV-2 detection and testing (28 papers), SARS-CoV-2 and COVID-19 Research (28 papers) and Viral gastroenteritis research and epidemiology (24 papers). The work is most often cited by research in Infectious Diseases (12.8k citations), Virology (1.3k citations), Neurology (3.3k citations), Modeling and Simulation (557 citations) and Obstetrics and Gynecology (926 citations). Andreas Nitsche has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Marcel A. Müller, Christian Drosten, Georg Herrler, Nadine Krüger, Tanja Herrler, Simon Schroeder, Markus Hoffmann, Stefan Pöhlmann, Hannah Kleine‐Weber and Tobias S. Schiergens. Their work appears in journals such as PLoS ONE, Viruses, Virology Journal, Emerging infectious diseases and Journal of Clinical Virology.

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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