Alberto Bartolomé
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Autophagy in Disease and Therapy
Papers in
- Surgery 15
- Pancreatic function and diabetes 14
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- Metabolism, Diabetes, and Cancer 6
- Polyamine Metabolism and Applications 3
- Co-authors
- Carlos Guillén (10 shared papers)Manuel Benito (9 shared papers)Utpal B. Pajvani (11 shared papers)Changyu Zhu (6 shared papers)Ana García-Aguilar (5 shared papers)Yoshiaki Kido (5 shared papers)Shun‐ichiro Asahara (5 shared papers)Luca Valenti (3 shared papers)
- Journals
- JCI Insight (2 papers)PLoS ONE (2 papers)Diabetes (2 papers)Science Translational Medicine (2 papers)Scientific Reports (1 paper)
- Partner nations
- SpainUnited StatesJapan
In The Last Decade
Alberto Bartolomé
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Hepatology 124
- Epidemiology 423
- Geriatrics and Gerontology 35
- Cell Biology 157
- Aging 15
Countries citing papers authored by Alberto Bartolomé
This map shows the geographic impact of Alberto Bartolomé'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 Alberto Bartolomé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Bartolomé more than expected).
Fields of papers citing papers by Alberto Bartolomé
This network shows the impact of papers produced by Alberto Bartolomé. 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 Alberto Bartolomé. The network helps show where Alberto Bartolomé may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Bartolomé, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 199 | |
| 2 | 2017 | 111 | |
| 3 | 2014 | 109 | |
| 4 | 2021 | 96 | |
| 5 | 2012 | 91 | |
| 6 | 2023 | 58 | |
| 7 | 2018 | 54 | |
| 8 | 2018 | 50 | |
| 9 | 2020 | 48 | |
| 10 | 2017 | 47 | |
| 11 | 2012 | 40 | |
| 12 | 2013 | 40 | |
| 13 | 2016 | 33 | |
| 14 | 2010 | 30 | |
| 15 | 2022 | 22 | |
| 16 | 2014 | 21 | |
| 17 | 2015 | 18 | |
| 18 | 2008 | 16 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 10 |
About Alberto Bartolomé
Alberto Bartolomé is a scholar working on Surgery, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (6 papers), Autophagy in Disease and Therapy (5 papers), Diabetes and associated disorders (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Polyamine Metabolism and Applications (3 papers). The work is most often cited by research in Hepatology (124 citations), Epidemiology (423 citations), Geriatrics and Gerontology (35 citations), Cell Biology (157 citations) and Aging (15 citations). Alberto Bartolomé has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Carlos Guillén, Manuel Benito, Utpal B. Pajvani, Changyu Zhu, Ana García-Aguilar, Yoshiaki Kido, Shun‐ichiro Asahara, Luca Valenti, KyeongJin Kim and Paola Dongiovanni. Their work appears in journals such as JCI Insight, PLoS ONE, Diabetes, Science Translational Medicine and Scientific Reports.
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.