Beate Grüner

2.6k citations
71 papers · 1.9k · 1 hit paper · h-index 22

Impact in

Papers in

    • Parasitic infections in humans and animals 43
    • COVID-19 Clinical Research Studies 9
    • Antifungal resistance and susceptibility 4
    • HIV/AIDS Research and Interventions 2
    • SARS-CoV-2 and COVID-19 Research 2

Beate Grüner

67 papers receiving 1.9k citations

Beate Grüner's Hit Papers

SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas 2021 · 408 citations
4080+1+3Years since publication100200300400

Peers

Beate Grüner
Comparison fields: 5 of 93
  • Pathology and Forensic Medicine 886
  • Infectious Diseases 553
  • Parasitology 47
  • Oncology 119
  • Endocrinology, Diabetes and Metabolism 74
Replace Soon-Phaik Chee with:
Soon-Phaik Chee Singapore
Raffaele Gianotti Italy
Andrés González García Spain
Corinne Amiel France
Anna Tjärnlund Sweden
Danilo Tacconi Italy
Roland Viraben France
Ranju T. Dhawan United Kingdom
Elisabeth Solau‐Gervais France
Marc De Bruyère Belgium
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Citations per year

Countries citing papers authored by Beate Grüner

Since Specialization
Citations

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

Fields of papers citing papers by Beate Grüner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas
Hit paper breakdown →
2021408
2 2020204
3 2020128
4 202181
5 201767
6 201266
7 201564
8 200960
9 202059
10 202142
11 200841
12 202140
13 201737
14 201735
15 201735
16 201030
17 201127
18 202127
19 200825
20 201625

About Beate Grüner

Beate Grüner is a scholar working on Pathology and Forensic Medicine, Infectious Diseases, Virology, Immunology and Endocrinology, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (43 papers), COVID-19 Clinical Research Studies (9 papers), Antifungal resistance and susceptibility (4 papers), HIV/AIDS Research and Interventions (2 papers), HIV Research and Treatment (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), HIV-related health complications and treatments (1 paper) and Infections and bacterial resistance (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (886 citations), Infectious Diseases (553 citations), Parasitology (47 citations), Oncology (119 citations) and Endocrinology, Diabetes and Metabolism (74 citations). Beate Grüner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Peter Kern, Wolfgang Kratzer, Julian Schmidberger, Dennis Tappe, Lynn Peters, Matthias Frosch, Stefan Reuter, Andreas Hillenbrand, Doris Henne‐Bruns and Yasuhito Sako. Their work appears in journals such as Infection, Pathogens, PLoS neglected tropical diseases, Clinical and Vaccine Immunology and Journal of Clinical Investigation.

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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