Edwin Miranda

625 citations
10 papers · 407 · h-index 6

Impact in

    • Antifungal resistance and susceptibility
    • Clostridium difficile and Clostridium perfringens research
    • Bacterial Identification and Susceptibility Testing

Papers in

Edwin Miranda

7 papers receiving 397 citations

Peers

Edwin Miranda
Comparison fields: 5 of 54
  • Infectious Diseases 258
  • Clinical Biochemistry 55
  • Epidemiology 176
  • Cell Biology 69
  • Microbiology 3
Replace Adriana Lopes Motta with:
Adriana Lopes Motta Brazil
A. Angoulvant France
Min Ji Choi South Korea
J Kaliamurthy India
Neelam Sachdeva India
Ines Leonhardt Germany
Anjni Koul India
Shiri Zakin Israel
S.C.A. Chen Australia
Shamanth A. Shankarnarayan India
Edwin Miranda relative to Adriana Lopes Motta Brazil Adriana Lopes Motta's profile →
Citations per field
00.5×1.5×2.4×
Adriana Lopes Motta · 1×
Citations per year

Countries citing papers authored by Edwin Miranda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Edwin Miranda Line = papers co-authored together Edwin Miranda links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2020231
2 201775
3 201138
4 202430
5 201818
6 202111
7 20144
8 20250
9 20240
10
Epidemiologia de candidíase hospitalar: importância da identificação específica
20030

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 407 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), Vaccine Coverage and Hesitancy (1 paper), Streptococcal Infections and Treatments (1 paper), Mycobacterium research and diagnosis (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Infectious Diseases (258 citations), Clinical Biochemistry (55 citations), Epidemiology (176 citations), Cell Biology (69 citations) and Microbiology (3 citations). Edwin Miranda has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include N. Esther Babady, Bing Zhai, Geraldine Butler, Tobias M. Hohl, Thierry Rolling, Ying Taur, Mihaela Ola, Eric R. Littmann, Sejal Morjaria and Marcel R.M. van den Brink. Their work appears in journals such as Journal of Clinical Microbiology, Nature Medicine, Journal of Cutaneous Pathology, G3 Genes Genomes Genetics and Microbiology Spectrum.

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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