Michelle T. Fodero‐Tavoletti
- Physiology top 1%
- Molecular Biology top 10%
- Psychiatry and Mental health top 2%
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Colin L. MastersVictor L. VillemagneChristopher C. RoweRoberto CappaiKevin J. BarnhamShozo FurumotoNobuyuki OkamuraKazuhiko Yanai
- Topics
- Alzheimer's disease research and treatments (37 papers)Dementia and Cognitive Impairment Research (12 papers)Computational Drug Discovery Methods (8 papers)
- Partner nations
- AustraliaJapanUnited States
In The Last Decade
Michelle T. Fodero‐Tavoletti
46 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Physiology 1.7k
- Molecular Biology 776
- Psychiatry and Mental health 729
- Neurology 504
- Radiology, Nuclear Medicine and Imaging 455
Countries citing papers authored by Michelle T. Fodero‐Tavoletti
This map shows the geographic impact of Michelle T. Fodero‐Tavoletti'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 Michelle T. Fodero‐Tavoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle T. Fodero‐Tavoletti more than expected).
Fields of papers citing papers by Michelle T. Fodero‐Tavoletti
This network shows the impact of papers produced by Michelle T. Fodero‐Tavoletti. 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 Michelle T. Fodero‐Tavoletti. The network helps show where Michelle T. Fodero‐Tavoletti may publish in the future.
Co-authorship network of co-authors of Michelle T. Fodero‐Tavoletti
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle T. Fodero‐Tavoletti. A scholar is included among the top collaborators of Michelle T. Fodero‐Tavoletti 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 Michelle T. Fodero‐Tavoletti. Michelle T. Fodero‐Tavoletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 345 | |
| 2 | 128 | |
| 3 | 2 | |
| 4 | 185 | |
| 5 | 59 | |
| 6 | 75 | |
| 7 | 42 | |
| 8 | 39 | |
| 9 | Amyloid-beta: The seeds of darkness | 3 |
| 10 | 266 | |
| 11 | 58 | |
| 12 | 79 | |
| 13 | 23 | |
| 14 | 12 | |
| 15 | 94 | |
| 16 | 46 | |
| 17 | 72 | |
| 18 | 1 | |
| 19 | 128 | |
| 20 | 48 |
About Michelle T. Fodero‐Tavoletti
Michelle T. Fodero‐Tavoletti is a scholar working on Physiology, Psychiatry and Mental health and Computational Theory and Mathematics, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (37 papers), Dementia and Cognitive Impairment Research (12 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Physiology (1.7k citations), Psychiatry and Mental health (729 citations) and Neurology (504 citations). Michelle T. Fodero‐Tavoletti has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe, Roberto Cappai, Kevin J. Barnham, Shozo Furumoto, Nobuyuki Okamura, Kazuhiko Yanai, Rachel S. Mulligan and Yukitsuka Kudo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Molecular Biology.
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.