Javier Louro
Impact in
- Oncology top 10%
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Cancer Risks and Factors
- COVID-19 and healthcare impacts
-
- Breast Cancer Treatment Studies
Papers in
- Oncology 24
- Global Cancer Incidence and Screening 20
- Cancer Risks and Factors 6
-
- Breast Cancer Treatment Studies 11
- Co-authors
- Xavier Castells (28 shared papers)María Sala (21 shared papers)Margarita Posso (15 shared papers)Marta Román (16 shared papers)Laia Domingo (13 shared papers)Michele Hilton Boon (1 shared paper)Carmen Vidal (6 shared papers)Marisa Baré (9 shared papers)
- Journals
- European Radiology (4 papers)Breast Cancer Research and Treatment (2 papers)PLoS ONE (2 papers)British Journal of Cancer (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- SpainUnited StatesNorway
In The Last Decade
Javier Louro
29 papers receiving 397 citations
Peers
Comparison fields: 5 of 62
- Oncology 241
- Cancer Research 70
- Infectious Diseases 59
- Health Informatics 4
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Javier Louro
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2020 | 49 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2018 | 20 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2018 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
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 30 papers that have together received 400 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (20 papers), Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (7 papers), Cancer Risks and Factors (6 papers), Digital Radiography and Breast Imaging (5 papers), AI in cancer detection (4 papers), BRCA gene mutations in cancer (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Oncology (241 citations), Cancer Research (70 citations), Infectious Diseases (59 citations), Health Informatics (4 citations) and Pulmonary and Respiratory Medicine (86 citations). Javier Louro has collaborated with scholars based in Spain, United States and Norway. Frequent co-authors include Xavier Castells, María Sala, Margarita Posso, Marta Román, Laia Domingo, Michele Hilton Boon, Carmen Vidal, Marisa Baré, Mercè Comas and Isabel Cirera. Their work appears in journals such as European Radiology, Breast Cancer Research and Treatment, PLoS ONE, British Journal of Cancer and Journal of Clinical Medicine.
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.