Raphael J. Eberle
Impact in
- Endocrinology top 10%
- Diphtheria, Corynebacterium, and Tetanus
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- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Biochemical and Structural Characterization 3
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- Mosquito-borne diseases and control 10
- Malaria Research and Control 4
- Co-authors
- Mônika A. Coronado (31 shared papers)Raghuvir K. Arni (22 shared papers)Dieter Willbold (13 shared papers)Marcos Serrou do Amaral (9 shared papers)N. Heimburger (3 shared papers)Fábio Rogério de Moraes (8 shared papers)G. Müller‐Berghaus (1 shared paper)Vasco Azevedo (4 shared papers)
In The Last Decade
Raphael J. Eberle
38 papers receiving 413 citations
Peers
Comparison fields: 5 of 77
- Endocrinology 35
- Infectious Diseases 113
- Small Animals 32
- Parasitology 25
- Biological Psychiatry 8
Countries citing papers authored by Raphael J. Eberle
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 43 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 28 | |
| 4 | 2016 | 27 | |
| 5 | 2018 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2017 | 16 | |
| 8 | 2014 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2017 | 8 |
About Raphael J. Eberle
Raphael J. Eberle is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics and Microbiology, having authored 39 papers that have together received 420 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (10 papers), Diphtheria, Corynebacterium, and Tetanus (5 papers), Viral Infections and Vectors (4 papers), Antimicrobial Peptides and Activities (4 papers), Malaria Research and Control (4 papers), Venomous Animal Envenomation and Studies (4 papers), Enzyme Structure and Function (4 papers) and Biochemical and Structural Characterization (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 Germany, Brazil and Nigeria. Frequent co-authors include Mônika A. Coronado, Raghuvir K. Arni, Dieter Willbold, Marcos Serrou do Amaral, N. Heimburger, Fábio Rogério de Moraes, G. Müller‐Berghaus, Vasco Azevedo, Carolina Colombelli Pacca and Ícaro Putinhon Caruso. Their work appears in journals such as International Journal of Biological Macromolecules, Scientific Reports, Viruses, Acta Tropica and PLoS ONE.
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.