Eugenio Ramı́rez

1.5k citations
56 papers · 717 · h-index 17

Impact in

Papers in

    • T-cell and Retrovirus Studies 23
    • SARS-CoV-2 and COVID-19 Research 8
    • SARS-CoV-2 detection and testing 6
    • COVID-19 Clinical Research Studies 5

Eugenio Ramı́rez

54 papers receiving 686 citations

Peers

Eugenio Ramı́rez
Comparison fields: 5 of 85
  • Infectious Diseases 303
  • Agronomy and Crop Science 127
  • Immunology 231
  • Virology 40
  • Ecology, Evolution, Behavior and Systematics 155
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Citations per field
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Citations per year

Countries citing papers authored by Eugenio Ramı́rez

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Ramı́rez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199777
2 200265
3 200842
4 200434
5 200832
6 200324
7
Evaluation of the polymerase chain reaction in the diagnosis of miliary tuberculosis in bone marrow smear.
200322
8 199122
9 202021
10 201621
11 202120
12 201120
13
Anti-HLA, anti-human "Ia-like" and MLC blocking activity of human placental IgG.
197720
14 202119
15 200318
16 200517
17 200316
18 200216
19 199815
20 201915

About Eugenio Ramı́rez

Eugenio Ramı́rez is a scholar working on Immunology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Epidemiology and Agronomy and Crop Science, having authored 56 papers that have together received 717 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (23 papers), Vector-Borne Animal Diseases (14 papers), Animal Disease Management and Epidemiology (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), SARS-CoV-2 detection and testing (6 papers), COVID-19 Clinical Research Studies (5 papers), Cervical Cancer and HPV Research (5 papers) and Fire effects on ecosystems (4 papers). The work is most often cited by research in Infectious Diseases (303 citations), Agronomy and Crop Science (127 citations), Immunology (231 citations), Virology (40 citations) and Ecology, Evolution, Behavior and Systematics (155 citations). Eugenio Ramı́rez has collaborated with scholars based in Chile, Japan and United States. Frequent co-authors include L Cartier, Jorge Fernández, H. Galeno, Luis Cartier, Judith Mora, Héctor San Martín, Sergio de‐Miguel, Nora López, Carlos Rossi and María T. Franze‐Fernández. Their work appears in journals such as Journal of Medical Virology, Virus Research, Medical Microbiology and Immunology, AIDS Research and Human Retroviruses and Journal of Clinical Microbiology.

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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