M. Isabel Lucena
- Pharmacology top 0.01%
- Epidemiology top 1%
- Oncology top 2%
- Hepatology top 0.5%
- Molecular Biology top 10%
- Co-authors
- Raúl J. AndradeCamilla StephensMiren García‐CortésMercedes Robles‐DíazAyako SuzukiKetevan PachkoriaEinar S. BjörnssonJosé Antonio Durán
- Topics
- Drug-Induced Hepatotoxicity and Protection (146 papers)Pharmacogenetics and Drug Metabolism (72 papers)Drug Transport and Resistance Mechanisms (42 papers)
- Cited by
- PharmacologyHepatologyToxicology
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
M. Isabel Lucena
185 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Pharmacology 5.2k
- Epidemiology 2.0k
- Oncology 1.7k
- Hepatology 1.6k
- Molecular Biology 807
Countries citing papers authored by M. Isabel Lucena
This map shows the geographic impact of M. Isabel Lucena'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 M. Isabel Lucena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Isabel Lucena more than expected).
Fields of papers citing papers by M. Isabel Lucena
This network shows the impact of papers produced by M. Isabel Lucena. 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 M. Isabel Lucena. The network helps show where M. Isabel Lucena may publish in the future.
Co-authorship network of co-authors of M. Isabel Lucena
This figure shows the co-authorship network connecting the top 25 collaborators of M. Isabel Lucena. A scholar is included among the top collaborators of M. Isabel Lucena based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Isabel Lucena. M. Isabel Lucena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 13 | |
| 5 | 35 | |
| 6 | A revised electronic version of RUCAM for the diagnosis of DILI | 74 |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 123 | |
| 10 | 45 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 47 | |
| 14 | 66 | |
| 15 | 8 | |
| 16 | Avaliação das Aprendizagens em matemática em turmas de anos iniciais | 0 |
| 17 | 66 | |
| 18 | 48 | |
| 19 | [Drug selection in hospitals. A model of reference in self-management of resources]. | 1 |
| 20 | Automatic study of renal pathology by digital image analysis | 1 |
About M. Isabel Lucena
M. Isabel Lucena is a scholar working on Pharmacology, Hepatology and Emergency Medicine, having authored 195 papers that have together received 7.4k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (146 papers), Pharmacogenetics and Drug Metabolism (72 papers) and Drug Transport and Resistance Mechanisms (42 papers). The work is most often cited by research in Pharmacology (5.2k citations), Hepatology (1.6k citations) and Toxicology (245 citations). M. Isabel Lucena has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Raúl J. Andrade, Camilla Stephens, Miren García‐Cortés, Mercedes Robles‐Díaz, Ayako Suzuki, Ketevan Pachkoria, Einar S. Björnsson, José Antonio Durán, Gloria Isabel Carvajal Peláez and Neil Kaplowitz. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.