Michael C. Irizarry
- Physiology top 0.05%
- Molecular Biology top 2%
- Psychiatry and Mental health top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 0.2%
- Co-authors
- Bradley T. HymanHiroaki FukumotoJohn H. GrowdonShobha DhaddaLynn D. KramerMichio KanekiyoChad J. SwansonLarisa Reyderman
- Topics
- Alzheimer's disease research and treatments (94 papers)Dementia and Cognitive Impairment Research (50 papers)Computational Drug Discovery Methods (21 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Michael C. Irizarry
157 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Physiology 8.4k
- Molecular Biology 3.4k
- Psychiatry and Mental health 3.0k
- Cellular and Molecular Neuroscience 2.6k
- Neurology 2.2k
Countries citing papers authored by Michael C. Irizarry
This map shows the geographic impact of Michael C. Irizarry'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 Michael C. Irizarry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Irizarry more than expected).
Fields of papers citing papers by Michael C. Irizarry
This network shows the impact of papers produced by Michael C. Irizarry. 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 Michael C. Irizarry. The network helps show where Michael C. Irizarry may publish in the future.
Co-authorship network of co-authors of Michael C. Irizarry
This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Irizarry. A scholar is included among the top collaborators of Michael C. Irizarry 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 Michael C. Irizarry. Michael C. Irizarry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 50 | |
| 15 | Lecanemab in Early Alzheimer’s Diseasebreakdown → | 2741 |
| 16 | 19 | |
| 17 | 60 | |
| 18 | 7 | |
| 19 | 52 | |
| 20 | 145 |
About Michael C. Irizarry
Michael C. Irizarry is a scholar working on Physiology, Psychiatry and Mental health and Computational Theory and Mathematics, having authored 166 papers that have together received 13.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (94 papers), Dementia and Cognitive Impairment Research (50 papers) and Computational Drug Discovery Methods (21 papers). The work is most often cited by research in Physiology (8.4k citations), Neurology (2.2k citations) and Biological Psychiatry (612 citations). Michael C. Irizarry has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Bradley T. Hyman, Hiroaki Fukumoto, John H. Growdon, Shobha Dhadda, Lynn D. Kramer, Michio Kanekiyo, Chad J. Swanson, Larisa Reyderman, Karen Hsiao and Kathy L. Newell. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.