Beate Grüner

2.7k citations
61 papers · 888 · h-index 19

Impact in

Papers in

Beate Grüner

53 papers receiving 838 citations

Peers

Beate Grüner
Comparison fields: 5 of 85
  • Parasitology 257
  • Pathology and Forensic Medicine 557
  • Infectious Diseases 131
  • Surgery 284
  • Urology 32
Replace Ana Maria Gonçalves da Silva with:
Ana Maria Gonçalves da Silva Brazil
M. Santoro Italy
Yuan Hu China
Nermi L. Parrow United States
Siddhartha Das United States
Luna Azulay‐Abulafia Brazil
Hilde Lapeere Belgium
Sheilla Andrade de Oliveira Brazil
Constantin E. Orfanos Germany
Carsten R. Lincke Netherlands
Beate Grüner relative to Ana Maria Gonçalves da Silva Brazil Ana Maria Gonçalves da Silva's profile →
Citations per field
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Ana Maria Gonçalves da Silva · 1×
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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196397
2 201763
3 201560
4 201256
5 200954
6 200839
7 202136
8 201733
9 201732
10 201730
11 201026
12 201125
13 201722
14 201422
15 200822
16 201221
17 200820
18 201319
19
Serological confirmatory testing of alveolar and cystic echinococcosis in clinical practice: results of a comparative study with commercialized and in-house assays.
200918
20 202215

About Beate Grüner

Beate Grüner is a scholar working on Pathology and Forensic Medicine, Surgery, Parasitology, Infectious Diseases and Urology, having authored 61 papers that have together received 888 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (37 papers), Congenital Anomalies and Fetal Surgery (20 papers), Parasitic Infections and Diagnostics (12 papers), Urological Disorders and Treatments (6 papers), Antifungal resistance and susceptibility (4 papers), Parasites and Host Interactions (4 papers), Amoebic Infections and Treatments (4 papers) and Medical Practices and Rehabilitation (4 papers). The work is most often cited by research in Parasitology (257 citations), Pathology and Forensic Medicine (557 citations), Infectious Diseases (131 citations), Surgery (284 citations) and Urology (32 citations). Beate Grüner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Kern, Wolfgang Kratzer, David M. Gale, Robert B. Bates, Julian Schmidberger, Dennis Tappe, Matthias Frosch, Lynn Peters, Stefan Reuter and Andreas Hillenbrand. Their work appears in journals such as Pathogens, Infection, PLoS neglected tropical diseases, Clinical and Vaccine Immunology and International Journal of Infectious Diseases.

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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