E. Cancio

875 citations
13 papers · 701 · h-index 7

Impact in

    • Respiratory viral infections research
    • Influenza Virus Research Studies
    • Pneumonia and Respiratory Infections
    • Pediatric health and respiratory diseases

Papers in

    • Respiratory viral infections research 3
    • Herpesvirus Infections and Treatments 3
    • Cytomegalovirus and herpesvirus research 2
    • Virology and Viral Diseases 1

E. Cancio

13 papers receiving 653 citations

Peers

E. Cancio
Comparison fields: 5 of 77
  • Epidemiology 418
  • Emergency Medical Services 74
  • Pulmonary and Respiratory Medicine 161
  • Infectious Diseases 95
  • Physiology 85
Replace Jan Williamson with:
Jan Williamson Australia
Pureza F. Gaerlan United States
J. O. Hendley United States
Shigeru Kohno Japan
Carles Saus Spain
Keitaro Nakamoto Japan
Maria‐Belen Trujillo‐Torralbo United Kingdom
Wendy Fonseca United States
Kim S. LeMessurier United States
Neil Ritchie United Kingdom
E. Cancio relative to Jan Williamson Australia Jan Williamson's profile →
Citations per field
00.5×4.5×
Jan Williamson · 1×
Citations per year

Countries citing papers authored by E. Cancio

Since Specialization
Citations

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

Fields of papers citing papers by E. Cancio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1997309
2 1996135
3 1996122
4 199351
5 199126
6 199223
7 198813
8 19936
9 19935
10 19924
11 19934
12 20082
13 19951

About E. Cancio

E. Cancio is a scholar working on Epidemiology, Oncology, Cell Biology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 701 indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Herpesvirus Infections and Treatments (3 papers), Glycosylation and Glycoproteins Research (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Epidemiology (418 citations), Emergency Medical Services (74 citations), Pulmonary and Respiratory Medicine (161 citations), Infectious Diseases (95 citations) and Physiology (85 citations). E. Cancio has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Julie Kent, Vicky Hammersley, Karl G. Nicholson, Benito Regueiro, D.C. Ireland, Christopher O’Callaghan, J Collinson, K. G. Nicholson, Jill Ashman and Juan Zalvide. Their work appears in journals such as Neuroendocrinology, European Journal of Cancer, Journal of Molecular Endocrinology, European Journal of Pharmacology and Journal of Biological Chemistry.

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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