Miguel A. Lanaspa
- Nephrology top 0.05%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Epidemiology top 0.5%
- Molecular Biology top 2%
- Physiology top 0.5%
- Co-authors
- Richard J. JohnsonLaura Gabriela Sánchez‐LozadaCarlos A. Roncal-JiménezTakahiko NakagawaThomas JensenTakuji IshimotoAna Andrés-HernandoChristina Cicerchi
- Topics
- Diet, Metabolism, and Disease (79 papers)Liver Disease Diagnosis and Treatment (57 papers)Gout, Hyperuricemia, Uric Acid (50 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesMexicoJapan
In The Last Decade
Miguel A. Lanaspa
165 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Nephrology 4.5k
- Endocrinology, Diabetes and Metabolism 3.8k
- Epidemiology 3.6k
- Molecular Biology 2.7k
- Physiology 2.5k
Countries citing papers authored by Miguel A. Lanaspa
This map shows the geographic impact of Miguel A. Lanaspa'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 Miguel A. Lanaspa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Lanaspa more than expected).
Fields of papers citing papers by Miguel A. Lanaspa
This network shows the impact of papers produced by Miguel A. Lanaspa. 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 Miguel A. Lanaspa. The network helps show where Miguel A. Lanaspa may publish in the future.
Co-authorship network of co-authors of Miguel A. Lanaspa
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Lanaspa. A scholar is included among the top collaborators of Miguel A. Lanaspa 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 Miguel A. Lanaspa. Miguel A. Lanaspa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 25 | |
| 9 | 14 | |
| 10 | 18 | |
| 11 | 14 | |
| 12 | 212 | |
| 13 | 131 | |
| 14 | 40 | |
| 15 | 18 | |
| 16 | 25 | |
| 17 | 110 | |
| 18 | 197 | |
| 19 | Uric Acid Induces Hepatic Steatosis by Generation of Mitochondrial Oxidative Stressbreakdown → | 572 |
| 20 | 62 |
About Miguel A. Lanaspa
Miguel A. Lanaspa is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 168 papers that have together received 12.0k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (79 papers), Liver Disease Diagnosis and Treatment (57 papers) and Gout, Hyperuricemia, Uric Acid (50 papers). The work is most often cited by research in Nephrology (4.5k citations), Endocrinology, Diabetes and Metabolism (3.8k citations) and Pathology and Forensic Medicine (2.4k citations). Miguel A. Lanaspa has collaborated with scholars based in United States, Mexico and Japan. Frequent co-authors include Richard J. Johnson, Laura Gabriela Sánchez‐Lozada, Carlos A. Roncal-Jiménez, Takahiko Nakagawa, Thomas Jensen, Takuji Ishimoto, Ana Andrés-Hernando, Christina Cicerchi, Masanari Kuwabara and Yuri Y. Sautin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.