Laia Tolosa
- Hepatology top 2%
- Liver physiology and pathology 30
- Pharmacology top 0.5%
- Drug-Induced Hepatotoxicity and Protection 19
- Pharmacogenetics and Drug Metabolism 17
- Neurology top 10%
- Molecular Biology top 10%
- Pluripotent Stem Cells Research 10
- Biophysics top 5%
-
- 3D Printing in Biomedical Research 11
-
- Liver Disease Diagnosis and Treatment 10
-
- Pancreatic function and diabetes 9
- Organ Transplantation Techniques and Outcomes 7
- Co-authors
- M. Teresa DonatoMaría José Gómez‐LechónJosé V. CastellM.J. Gómez-LechónJerònia LladóGabriel OlmosM. José Gómez‐LechónAlfonso Quintás‐Cardama
- Cited by
- HepatologyPharmacologyNeurology
- Journals
- PLoS ONE (1 paper)International Journal of Molecular Sciences (2 papers)Neuroscience (2 papers)
- Partner nations
- SpainFranceUnited Kingdom
In The Last Decade
Laia Tolosa
65 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 129
- Hepatology 502
- Pharmacology 513
- Neurology 117
- Molecular Biology 938
- Biophysics 73
Countries citing papers authored by Laia Tolosa
This map shows the geographic impact of Laia Tolosa'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 Laia Tolosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laia Tolosa more than expected).
Fields of papers citing papers by Laia Tolosa
This network shows the impact of papers produced by Laia Tolosa. 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 Laia Tolosa. The network helps show where Laia Tolosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laia Tolosa, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 32 | |
| 13 | 2016 | 38 | |
| 14 | 2016 | 59 | |
| 15 | 2015 | 32 | |
| 16 | Cell-based models to predict human hepatotoxicity of drugs | 2014 | 14 |
| 17 | 2014 | 37 | |
| 18 | 2013 | 396 | |
| 19 | 2012 | 95 | |
| 20 | 2011 | 30 |
About Laia Tolosa
Laia Tolosa is a scholar working on Hepatology, Pharmacology and Biophysics, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (30 papers), Drug-Induced Hepatotoxicity and Protection (19 papers), Pharmacogenetics and Drug Metabolism (17 papers), 3D Printing in Biomedical Research (11 papers), Pluripotent Stem Cells Research (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Pancreatic function and diabetes (9 papers) and Organ Transplantation Techniques and Outcomes (7 papers). The work is most often cited by research in Hepatology (502 citations), Pharmacology (513 citations) and Neurology (117 citations). Laia Tolosa has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include M. Teresa Donato, María José Gómez‐Lechón, José V. Castell, M.J. Gómez-Lechón, Jerònia Lladó, Gabriel Olmos, M. José Gómez‐Lechón, Alfonso Quintás‐Cardama, Lourdes Gombau and Enrico Burello. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Neuroscience.
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.