Luis Cano
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
- Hepatology 13
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Liver physiology and pathology 2
- Oncology 4
- Co-authors
- Carlos Castaneda Altamirano (3 shared papers)Miluska Castillo (3 shared papers)Sandro A. Casavilca-Zambrano (8 shared papers)Pascal Pineau (6 shared papers)Stéphane Bertani (6 shared papers)César Beltrán (1 shared paper)Juan‐Pablo Cerapio (5 shared papers)Eloy Ruiz Mendoza (5 shared papers)
- Journals
- Scientific Reports (4 papers)Surgery (3 papers)Bioinformatics (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- FrancePeruUnited States
In The Last Decade
Luis Cano
29 papers receiving 378 citations
Peers
Comparison fields: 5 of 49
- Hepatology 102
- Oncology 84
- Biophysics 13
- Cancer Research 19
- Artificial Intelligence 49
Countries citing papers authored by Luis Cano
This map shows the geographic impact of Luis Cano'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 Luis Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Cano more than expected).
Fields of papers citing papers by Luis Cano
This network shows the impact of papers produced by Luis Cano. 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 Luis Cano. The network helps show where Luis Cano may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Cano, 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 | 2017 | 55 | |
| 2 | 2017 | 52 | |
| 3 | 2023 | 36 | |
| 4 | 2018 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2021 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2025 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 6 |
About Luis Cano
Luis Cano is a scholar working on Hepatology, Oncology, Surgery, Molecular Biology and Epidemiology, having authored 30 papers that have together received 383 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver physiology and pathology (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Single-cell and spatial transcriptomics (2 papers), Ubiquitin and proteasome pathways (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Hepatology (102 citations), Oncology (84 citations), Biophysics (13 citations), Cancer Research (19 citations) and Artificial Intelligence (49 citations). Luis Cano has collaborated with scholars based in France, Peru and United States. Frequent co-authors include Carlos Castaneda Altamirano, Miluska Castillo, Sandro A. Casavilca-Zambrano, Pascal Pineau, Stéphane Bertani, César Beltrán, Juan‐Pablo Cerapio, Eloy Ruiz Mendoza, Eric Deharo and Agnès Marchio. Their work appears in journals such as Scientific Reports, Surgery, Bioinformatics, Journal of Cellular and Molecular Medicine and Journal of Hepatology.
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.