Raphael J. Eberle

621 citations
39 papers · 452 · h-index 13

Impact in

Papers in

Raphael J. Eberle

38 papers receiving 439 citations

Peers

Raphael J. Eberle
Comparison fields: 5 of 76
  • Endocrinology 35
  • Infectious Diseases 113
  • Small Animals 32
  • Parasitology 25
  • Biological Psychiatry 8
Replace Riccardo V. D’Elia with:
Riccardo V. D’Elia United Kingdom
Beatrice Saviola United States
Jiraprapa Wipasa Thailand
Mônika A. Coronado Brazil
Noman Siddiqi United States
Alfonso Méndez-Tenorio Mexico
Márcia Rogéria de Almeida Brazil
Rolf Rauh United States
P G Canonico United States
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Citations per field
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Citations per year

Countries citing papers authored by Raphael J. Eberle

Since Specialization
Citations

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

Fields of papers citing papers by Raphael J. Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphael J. Eberle. 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 Raphael J. Eberle. The network helps show where Raphael J. Eberle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198548
2 202135
3 202130
4 201627
5 201826
6 202125
7 201716
8 201514
9 202114
10 202114
11 201214
12 201414
13 202313
14 202212
15 202311
16 201911
17 202211
18 20179
19 20229
20 20169

About Raphael J. Eberle

Raphael J. Eberle is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Endocrinology and Genetics, having authored 39 papers that have together received 452 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (10 papers), Diphtheria, Corynebacterium, and Tetanus (5 papers), Venomous Animal Envenomation and Studies (4 papers), Antimicrobial Peptides and Activities (4 papers), Malaria Research and Control (4 papers), Viral Infections and Vectors (4 papers), Biochemical and Structural Characterization (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Endocrinology (35 citations), Infectious Diseases (113 citations), Small Animals (32 citations), Parasitology (25 citations) and Biological Psychiatry (8 citations). Raphael J. Eberle has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Mônika A. Coronado, Raghuvir K. Arni, Dieter Willbold, Marcos Serrou do Amaral, N. Heimburger, G. Müller‐Berghaus, Fábio Rogério de Moraes, Carolina Colombelli Pacca, Birgit Strodel and Vasco Azevedo. Their work appears in journals such as International Journal of Biological Macromolecules, Acta Tropica, Scientific Reports, PLoS ONE and Viruses.

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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