Edwin Miranda
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Clostridium difficile and Clostridium perfringens research
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Antifungal resistance and susceptibility 5
- Antimicrobial Resistance in Staphylococcus 1
- Clostridium difficile and Clostridium perfringens research 1
-
- Fungal Infections and Studies 3
- Co-authors
- N. Esther Babady (8 shared papers)Bing Zhai (3 shared papers)Thierry Rolling (3 shared papers)Tobias M. Hohl (3 shared papers)Geraldine Butler (3 shared papers)Ying Taur (2 shared papers)Mihaela Ola (2 shared papers)Sejal Morjaria (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)Nature Medicine (2 papers)Journal of Cutaneous Pathology (1 paper)Microbiology Spectrum (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Edwin Miranda
7 papers receiving 360 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 246
- Clinical Biochemistry 58
- Microbiology 4
- Epidemiology 172
- Cell Biology 70
Countries citing papers authored by Edwin Miranda
This map shows the geographic impact of Edwin Miranda'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 Edwin Miranda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Miranda more than expected).
Fields of papers citing papers by Edwin Miranda
This network shows the impact of papers produced by Edwin Miranda. 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 Edwin Miranda. The network helps show where Edwin Miranda may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin Miranda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 212 | |
| 2 | 2017 | 66 | |
| 3 | 2011 | 33 | |
| 4 | 2024 | 24 | |
| 5 | 2018 | 16 | |
| 6 | 2021 | 10 | |
| 7 | 2014 | 4 | |
| 8 | 2024 | 0 | |
| 9 | Epidemiologia de candidíase hospitalar: importância da identificação específica | 2003 | 0 |
| 10 | 2025 | 0 |
About Edwin Miranda
Edwin Miranda is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Molecular Biology and Cell Biology, having authored 10 papers that have together received 365 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Fungal Infections and Studies (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Ginseng Biological Effects and Applications (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Clostridium difficile and Clostridium perfringens research (1 paper). The work is most often cited by research in Infectious Diseases (246 citations), Clinical Biochemistry (58 citations), Microbiology (4 citations), Epidemiology (172 citations) and Cell Biology (70 citations). Edwin Miranda has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include N. Esther Babady, Bing Zhai, Thierry Rolling, Tobias M. Hohl, Geraldine Butler, Ying Taur, Mihaela Ola, Sejal Morjaria, Roberta J. Wright and Luigi A. Amoretti. Their work appears in journals such as Journal of Clinical Microbiology, Nature Medicine, Journal of Cutaneous Pathology, Microbiology Spectrum and G3 Genes Genomes Genetics.
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.