John Quiroga

22 papers receiving 584 citations

Peers

John Quiroga
Comparison fields: 5 of 93
  • Complementary and alternative medicine 89
  • Biological Psychiatry 16
  • Immunology 133
  • Cancer Research 63
  • Molecular Biology 248
Replace María Daniella Carretta with:
María Daniella Carretta Chile
Weili Zhao China
Jiahui Yu China
Aneta Hromada‐Judycka Poland
Carolina Manosalva Chile
Agnieszka Płóciennikowska Poland
Mingyong Wang China
Jianing Fu United States
Changlong Lu China
John Quiroga relative to María Daniella Carretta Chile María Daniella Carretta's profile →
Citations per field
00.5×1.5×
María Daniella Carretta · 1×
Citations per year

Countries citing papers authored by John Quiroga

Since Specialization
Citations

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

Fields of papers citing papers by John Quiroga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022134
2 2021128
3 2020124
4 202039
5 201620
6 202120
7 202019
8 202018
9 202018
10 202218
11 202312
12 20229
13 20208
14 20237
15 20244
16 20224
17 20233
18 20242
19 20222
20 20251

About John Quiroga

John Quiroga is a scholar working on Immunology, Molecular Biology, Physiology, Food Science and Clinical Biochemistry, having authored 26 papers that have together received 592 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Immune Response and Inflammation (6 papers), Immune cells in cancer (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Metabolism and Genetic Disorders (2 papers), Inflammation biomarkers and pathways (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Complementary and alternative medicine (89 citations), Biological Psychiatry (16 citations), Immunology (133 citations), Cancer Research (63 citations) and Molecular Biology (248 citations). John Quiroga has collaborated with scholars based in Chile, Germany and United States. Frequent co-authors include Rafael A. Burgos, Carolina Manosalva, Pablo Alarcón, María A. Hidalgo, María Daniella Carretta, Rodrigo López‐Muñoz, Juan L. Hancke, Carlos Hermosilla, Anja Taubert and Gabriel Morán. Their work appears in journals such as Frontiers in Veterinary Science, Animals, Frontiers in Immunology, Scientific Reports and Veterinary Immunology and Immunopathology.

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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