N. C. Inestrosa
- Molecular Biology
- Physiology top 5%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 5%
- Clinical Biochemistry top 2%
- Co-authors
- Miguel BronfmanHugo L. FernándezFederico LeightonMing ChenGilbert S. RossJuan A. GodoyChristopher C. KoenigRodrigo A. Quintanilla
- Topics
- Cholinesterase and Neurodegenerative Diseases (11 papers)Alzheimer's disease research and treatments (7 papers)Computational Drug Discovery Methods (5 papers)
- Partner nations
- ChileUnited StatesBrazil
In The Last Decade
N. C. Inestrosa
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 661
- Physiology 514
- Cellular and Molecular Neuroscience 232
- Pharmacology 228
- Clinical Biochemistry 154
Countries citing papers authored by N. C. Inestrosa
This map shows the geographic impact of N. C. Inestrosa'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 N. C. Inestrosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. C. Inestrosa more than expected).
Fields of papers citing papers by N. C. Inestrosa
This network shows the impact of papers produced by N. C. Inestrosa. 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 N. C. Inestrosa. The network helps show where N. C. Inestrosa may publish in the future.
Co-authorship network of co-authors of N. C. Inestrosa
This figure shows the co-authorship network connecting the top 25 collaborators of N. C. Inestrosa. A scholar is included among the top collaborators of N. C. Inestrosa 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 N. C. Inestrosa. N. C. Inestrosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 106 | |
| 3 | 46 | |
| 4 | 174 | |
| 5 | 19 | |
| 6 | 7 | |
| 7 | 279 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | Expression of size-selected messenger RNA encoding the brain and adrenal gland angiotensin-II receptor in Xenopus laevis oocytes. | 1 |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 25 | |
| 17 | 6 | |
| 18 | 12 | |
| 19 | 83 | |
| 20 | Molecular forms of acetylcholinesterase from smooth muscle of cat nictitating membrane | 1 |
About N. C. Inestrosa
N. C. Inestrosa is a scholar working on Pharmacology, Physiology and Computational Theory and Mathematics, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Alzheimer's disease research and treatments (7 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Clinical Biochemistry (154 citations), Physiology (514 citations) and Pharmacology (228 citations). N. C. Inestrosa has collaborated with scholars based in Chile, United States and Brazil. Frequent co-authors include Miguel Bronfman, Hugo L. Fernández, Federico Leighton, Ming Chen, Gilbert S. Ross, Juan A. Godoy, Christopher C. Koenig, Rodrigo A. Quintanilla, Lorena Varela‐Nallar and Enrique Brandan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Neurophysiology.
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.