Raphael J. Eberle
Impact in
- Endocrinology top 10%
- Diphtheria, Corynebacterium, and Tetanus
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
-
- Mosquito-borne diseases and control 12
- Co-authors
- Mônika A. Coronado (33 shared papers)Raghuvir Krishnaswamy Arni (22 shared papers)Dieter Willbold (15 shared papers)Marcos Serrou do Amaral (9 shared papers)Fábio Rogério de Moraes (8 shared papers)Carolina Colombelli Pacca (6 shared papers)Maurício Lacerda Nogueira (5 shared papers)Ícaro Putinhon Caruso (4 shared papers)
In The Last Decade
Raphael J. Eberle
36 papers receiving 422 citations
Peers
Comparison fields: 5 of 60
- Endocrinology 29
- Infectious Diseases 106
- Drug Discovery 1
- Public Health, Environmental and Occupational Health 86
- Computational Theory and Mathematics 37
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 | 2021 | 36 | |
| 2 | 2021 | 32 | |
| 3 | 2016 | 28 | |
| 4 | 2018 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2017 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2014 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2012 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2016 | 9 |
About Raphael J. Eberle
Raphael J. Eberle is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Pharmacology, having authored 39 papers that have together received 426 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Protein Structure and Dynamics (5 papers), Venomous Animal Envenomation and Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Enzyme Structure and Function (4 papers), Heat shock proteins research (3 papers), Computational Drug Discovery Methods (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Endocrinology (29 citations), Infectious Diseases (106 citations), Drug Discovery (1 citation), Public Health, Environmental and Occupational Health (86 citations) and Computational Theory and Mathematics (37 citations). Raphael J. Eberle has collaborated with scholars based in Brazil, Germany and China. Frequent co-authors include Mônika A. Coronado, Raghuvir Krishnaswamy Arni, Dieter Willbold, Marcos Serrou do Amaral, Fábio Rogério de Moraes, Carolina Colombelli Pacca, Maurício Lacerda Nogueira, Ícaro Putinhon Caruso, Birgit Strodel and PROF. VASCO AZEVEDO. Their work appears in journals such as PLoS ONE, International Journal of Biological Macromolecules, Viruses, Scientific Reports and Acta Tropica.
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.