Beat Richner

823 citations
23 papers · 493 · h-index 14

Impact in

    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

Beat Richner

23 papers receiving 477 citations

Peers

Beat Richner
Comparison fields: 5 of 74
  • Infectious Diseases 159
  • Parasitology 40
  • Microbiology 31
  • Rehabilitation 30
  • Epidemiology 141
Replace Jane Tomimori with:
Jane Tomimori Brazil
Lon V. Kendall United States
Steven W. Eicker United States
A Galil Israel
Laurie A. Beard United States
Emmanuel Loeb Israel
Juntaro Kaneko Japan
Francesco Albanese Italy
Toyohiko Yoshihara Japan
David Jones United States
Beat Richner relative to Jane Tomimori Brazil Jane Tomimori's profile →
Citations per field
00.5×3.3×
Jane Tomimori · 1×
Citations per year

Countries citing papers authored by Beat Richner

Since Specialization
Citations

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

Fields of papers citing papers by Beat Richner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200799
2 201258
3 199336
4 201236
5 201232
6 201130
7 201127
8 199324
9 199024
10 201721
11 199420
12 199714
13 201713
14
Hearing impairment following therapy of Haemophilus influenzae meningitis.
197913
15 201712
16 201310
17 20149
18 19986
19 20143
20 20123

About Beat Richner

Beat Richner is a scholar working on Infectious Diseases, Rehabilitation, Epidemiology, Physiology and Surgery, having authored 23 papers that have together received 493 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Exercise and Physiological Responses (5 papers), Viral Infections and Vectors (4 papers), Bacterial Infections and Vaccines (3 papers), Influenza Virus Research Studies (3 papers), Tuberculosis Research and Epidemiology (3 papers), Mosquito-borne diseases and control (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Infectious Diseases (159 citations), Parasitology (40 citations), Microbiology (31 citations), Rehabilitation (30 citations) and Epidemiology (141 citations). Beat Richner has collaborated with scholars based in United States, Cambodia and Switzerland. Frequent co-authors include David J. Prezant, Philippe Buchy, Denis Laurent, Thomas K. Aldrich, Sovann Ly, John Cahill, Andrea Poretti, Joshua P. Nickerson, Christopher G. Filippi and Maarten H. Lequin. Their work appears in journals such as Journal of Applied Physiology, European Journal of Pediatrics, Journal of Neuroimaging, Emerging infectious diseases and CHEST Journal.

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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