Jorge Iván Castillo-Quan
- Molecular Biology
- Physiology top 5%
- Epidemiology
- Aging top 1%
- Neurology top 10%
- Co-authors
- Kerri J. KinghornLinda PartridgeIvana BjedovLi LiJohn HardyT. Keith BlackwellLuke S. TainJanet M. Thornton
- Topics
- Genetics, Aging, and Longevity in Model Organisms (7 papers)Autophagy in Disease and Therapy (6 papers)Circadian rhythm and melatonin (3 papers)
- Cited by
- AgingPhysiologyNeurology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jorge Iván Castillo-Quan
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 406
- Physiology 400
- Epidemiology 236
- Aging 198
- Neurology 131
Countries citing papers authored by Jorge Iván Castillo-Quan
This map shows the geographic impact of Jorge Iván Castillo-Quan'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 Jorge Iván Castillo-Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Iván Castillo-Quan more than expected).
Fields of papers citing papers by Jorge Iván Castillo-Quan
This network shows the impact of papers produced by Jorge Iván Castillo-Quan. 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 Jorge Iván Castillo-Quan. The network helps show where Jorge Iván Castillo-Quan may publish in the future.
Co-authorship network of co-authors of Jorge Iván Castillo-Quan
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Iván Castillo-Quan. A scholar is included among the top collaborators of Jorge Iván Castillo-Quan 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 Jorge Iván Castillo-Quan. Jorge Iván Castillo-Quan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 31 | |
| 5 | 44 | |
| 6 | 42 | |
| 7 | 70 | |
| 8 | 121 | |
| 9 | 44 | |
| 10 | 47 | |
| 11 | 147 | |
| 12 | 116 | |
| 13 | 15 | |
| 14 | 24 | |
| 15 | 148 | |
| 16 | 55 | |
| 17 | 125 | |
| 18 | 22 | |
| 19 | [Alzheimer's disease and methylenetetrahydrofolate reductase gene polymorphisms: a potential nutrigenomic approach for Mexico]. | 1 |
| 20 | 4 |
About Jorge Iván Castillo-Quan
Jorge Iván Castillo-Quan is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Autophagy in Disease and Therapy (6 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (198 citations), Physiology (400 citations) and Neurology (106 citations). Jorge Iván Castillo-Quan has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Kerri J. Kinghorn, Linda Partridge, Ivana Bjedov, Li Li, John Hardy, T. Keith Blackwell, Luke S. Tain, Janet M. Thornton, Helena M. Cochemé and Dobril Ivanov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.