E. Parada

476 citations
22 papers · 327 · h-index 9

Impact in

    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Hepatitis Viruses Studies and Epidemiology

Papers in

E. Parada

19 papers receiving 322 citations

Peers

E. Parada
Comparison fields: 5 of 77
  • Infectious Diseases 178
  • Hepatology 38
  • Biological Psychiatry 11
  • Obstetrics and Gynecology 26
  • Animal Science and Zoology 33
Replace Yan Qiu with:
Yan Qiu China
Anna Martin Germany
Duomeng Yang China
Babak Ebrahimi Iran
Nishant Sharma United States
Michael Stolinski United Kingdom
Chang Chen China
Michaela C. Stanton United States
Peter Christopher Konturek Germany
Melany Ríos-Morales Netherlands
E. Parada relative to Yan Qiu China Yan Qiu's profile →
Citations per field
00.5×4.3×
Yan Qiu · 1×
Citations per year

Countries citing papers authored by E. Parada

Since Specialization
Citations

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

Fields of papers citing papers by E. Parada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200479
2 202046
3 201139
4 201335
5 200534
6 201525
7 201411
8 20209
9 20229
10 20228
11 20218
12 20077
13 20226
14 20163
15 20212
16 20152
17 20142
18 20221
19 20071
20 20250

About E. Parada

E. Parada is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 diagnosis using AI (2 papers), Migraine and Headache Studies (2 papers), Birth, Development, and Health (2 papers), Biomedical Research and Pathophysiology (2 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). The work is most often cited by research in Infectious Diseases (178 citations), Hepatology (38 citations), Biological Psychiatry (11 citations), Obstetrics and Gynecology (26 citations) and Animal Science and Zoology (33 citations). E. Parada has collaborated with scholars based in Spain, Brazil and Poland. Frequent co-authors include Javier Egea, Manuela G. López, David O. Matson, Parvin H. Azimi, Mary Allen Staat, Tamás Berke, Alejandro Romero, Laura del Barrio, Karin Bok and Xi Jiang. Their work appears in journals such as Neuroscience, The Pediatric Infectious Disease Journal, Nutrients, Scientific Reports and Infection Genetics and Evolution.

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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