Beatriz Mínguez
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 20
- Liver Disease and Transplantation 9
- Hepatitis C virus research 7
- Cancer Research top 2%
- MicroRNA in disease regulation 5
- Cancer Genomics and Diagnostics 5
- Cancer, Lipids, and Metabolism 5
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 18
- Molecular Biology top 10%
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- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Augusto VillanuevaJosep M. LlovetAnja LachenmayerYujin HoshidaSara ToffaninJuan CórdobaSwan N. ThungLaia Cabellos
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Beatriz Mínguez
50 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 90
- Hepatology 1.5k
- Cancer Research 719
- Epidemiology 947
- Pathology and Forensic Medicine 309
- Molecular Biology 1.0k
Countries citing papers authored by Beatriz Mínguez
This map shows the geographic impact of Beatriz Mínguez'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 Beatriz Mínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatriz Mínguez more than expected).
Fields of papers citing papers by Beatriz Mínguez
This network shows the impact of papers produced by Beatriz Mínguez. 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 Beatriz Mínguez. The network helps show where Beatriz Mínguez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beatriz Mínguez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 0 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 1 | |
| 10 | 2014 | 80 | |
| 11 | 2013 | 158 | |
| 12 | 2012 | 230 | |
| 13 | 2012 | 70 | |
| 14 | 2011 | 171 | |
| 15 | 2011 | 142 | |
| 16 | 2010 | 186 | |
| 17 | 2009 | 118 | |
| 18 | 2007 | 25 | |
| 19 | Avances en la patogenia y el diagnóstico de la encefalopatía hepática | 2006 | 1 |
| 20 | 2006 | 82 |
About Beatriz Mínguez
Beatriz Mínguez is a scholar working on Hepatology, Cancer Research, Epidemiology, Oncology and Transplantation, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Liver Disease Diagnosis and Treatment (18 papers), Liver Disease and Transplantation (9 papers), Hepatitis C virus research (7 papers), MicroRNA in disease regulation (5 papers), Cancer Genomics and Diagnostics (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Hepatology (1.5k citations), Cancer Research (719 citations), Epidemiology (947 citations), Pathology and Forensic Medicine (309 citations) and Molecular Biology (1.0k citations). Beatriz Mínguez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Augusto Villanueva, Josep M. Llovet, Anja Lachenmayer, Yujin Hoshida, Sara Toffanin, Juan Córdoba, Swan N. Thung, Laia Cabellos, Scott L. Friedman and Clara Alsinet. Their work appears in journals such as Journal of Hepatology, Journal of Clinical Oncology, Cancers, Cancer Research and 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.