Elba Miranda

1.5k citations
24 papers · 1.1k · h-index 16

Impact in

Papers in

Elba Miranda

23 papers receiving 1.1k citations

Peers

Elba Miranda
Comparison fields: 5 of 74
  • Parasitology 624
  • Pathology and Forensic Medicine 732
  • Surgery 517
  • Infectious Diseases 201
  • Ecology 224
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Chiara Trevisan Belgium
John Noh United States
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Inger Ljungström Sweden
Sri S. Margono Japan
Kabemba E. Mwape Zambia
Erastus Mulinge Kenya
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Citations per year

Countries citing papers authored by Elba Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Elba Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elba 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 Elba Miranda. The network helps show where Elba Miranda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993174
2 1990148
3 198894
4 199084
5 199283
6 199282
7 199275
8 199461
9 199552
10 199250
11 199443
12
Case-control study of Cryptosporidium parvum infection in Peruvian children hospitalized for diarrhea: possible association with malnutrition and nosocomial infection.
199027
13 200427
14 199423
15 200320
16 199215
17 199114
18 199113
19 199413
20 19918

About Elba Miranda

Elba Miranda is a scholar working on Pathology and Forensic Medicine, Parasitology, Surgery, Infectious Diseases and Ecology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (12 papers), Congenital Anomalies and Fetal Surgery (7 papers), Parasite Biology and Host Interactions (6 papers), Parasitic Infections and Diagnostics (6 papers), Parasites and Host Interactions (5 papers), Amoebic Infections and Treatments (3 papers), Child Nutrition and Water Access (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Parasitology (624 citations), Pathology and Forensic Medicine (732 citations), Surgery (517 citations), Infectious Diseases (201 citations) and Ecology (224 citations). Elba Miranda has collaborated with scholars based in Peru, United States and Paraguay. Frequent co-authors include Victor C. W. Tsang, Joy B. Pilcher, Robert H. Gilman, Manuela Verástegui, Robert H. Gilman, F Diaz, Genaro Herrera, Teresa Montenegro, H.H. Garcia and Manuel Martı́nez. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Journal of Clinical Microbiology, The Lancet, Transactions of the Royal Society of Tropical Medicine and Hygiene and Acta Paediatrica.

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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