Javier Louro

727 citations
32 papers · 416 · h-index 11

Impact in

    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • COVID-19 and healthcare impacts
    • Cancer Risks and Factors
    • Breast Cancer Treatment Studies

Papers in

    • Global Cancer Incidence and Screening 7
    • COVID-19 and healthcare impacts 2
    • Cancer Risks and Factors 2
    • Breast Cancer Treatment Studies 5

Javier Louro

30 papers receiving 413 citations

Peers

Javier Louro
Comparison fields: 5 of 56
  • Oncology 169
  • Cancer Research 39
  • Infectious Diseases 47
  • Geriatrics and Gerontology 7
  • Pulmonary and Respiratory Medicine 65
Replace Toms Vengaloor Thomas with:
Toms Vengaloor Thomas United States
Stefan Schiele Germany
Perrine Vuagnat France
Justin Jee United States
Maxime Frélaut France
Jennifer Braun United States
Chun Gao China
Chandan Krushna Das India
Megan Eguchi United States
Emre Yekedüz Türkiye
Javier Louro relative to Toms Vengaloor Thomas United States Toms Vengaloor Thomas's profile →
Citations per field
00.5×4.3×
Toms Vengaloor Thomas · 1×
Citations per year

Countries citing papers authored by Javier Louro

Since Specialization
Citations

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

Fields of papers citing papers by Javier Louro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 202049
3 201935
4 202034
5 201830
6 202126
7 201821
8 202216
9 202114
10 202113
11 202012
12 202210
13 20189
14 20229
15 20188
16 20227
17 20184
18 20193
19 20193
20 20193

About Javier Louro

Javier Louro is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 32 papers that have together received 416 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (7 papers), Breast Cancer Treatment Studies (5 papers), Digital Radiography and Breast Imaging (4 papers), Breast Lesions and Carcinomas (4 papers), BRCA gene mutations in cancer (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 and healthcare impacts (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Oncology (169 citations), Cancer Research (39 citations), Infectious Diseases (47 citations), Geriatrics and Gerontology (7 citations) and Pulmonary and Respiratory Medicine (65 citations). Javier Louro has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Xavier Castells, María Sala, Margarita Posso, Marta Román, Laia Domingo, Michele Hilton Boon, Carmen Vidal, Marisa Baré, Mercè Comas and Francesc Macià. Their work appears in journals such as European Radiology, PLoS ONE, Breast Cancer Research and Treatment, International Journal of Environmental Research and Public Health and Cancer Epidemiology Biomarkers & Prevention.

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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