Michelle Zanette

626 total citations
9 papers, 315 citations indexed

About

Michelle Zanette is a scholar working on Physiology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Michelle Zanette has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Psychiatry and Mental health and 3 papers in Cognitive Neuroscience. Recurrent topics in Michelle Zanette's work include Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (4 papers) and Functional Brain Connectivity Studies (3 papers). Michelle Zanette is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (4 papers) and Functional Brain Connectivity Studies (3 papers). Michelle Zanette collaborates with scholars based in Sweden, United States and United Kingdom. Michelle Zanette's co-authors include Thomas G. Beach, Adrian Smith, Christopher Buckley, Dietmar Rudolf Thal, Kerstin Heurling, Aruna Chakrabarty, Azzam Ismail, Gill Farrar, Paul Sherwin and Chester A. Mathis and has published in prestigious journals such as Acta Neuropathologica, Journal of Alzheimer s Disease and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Michelle Zanette

9 papers receiving 313 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michelle Zanette Sweden 7 229 224 86 82 35 9 315
Mark Lowrey United States 3 252 1.1× 223 1.0× 92 1.1× 116 1.4× 35 1.0× 5 340
Juhan Reimand Netherlands 8 190 0.8× 183 0.8× 84 1.0× 79 1.0× 33 0.9× 9 276
Denise Visser Netherlands 11 161 0.7× 173 0.8× 95 1.1× 84 1.0× 39 1.1× 29 294
Krishnendu Saha United States 4 224 1.0× 198 0.9× 93 1.1× 114 1.4× 28 0.8× 9 319
Allison Fero United States 3 212 0.9× 204 0.9× 112 1.3× 104 1.3× 22 0.6× 4 312
Ping Chiao United States 8 242 1.1× 266 1.2× 101 1.2× 84 1.0× 46 1.3× 19 436
Andy Horng United States 4 297 1.3× 300 1.3× 85 1.0× 159 1.9× 34 1.0× 4 424
Jenna Stevenson Canada 8 251 1.1× 307 1.4× 60 0.7× 92 1.1× 57 1.6× 36 440
Sabrina M. Albertson United States 9 335 1.5× 235 1.0× 64 0.7× 150 1.8× 32 0.9× 19 455
Fadi S. Hanna Al‐Shaikh United States 5 164 0.7× 189 0.8× 42 0.5× 69 0.8× 38 1.1× 5 291

Countries citing papers authored by Michelle Zanette

Since Specialization
Citations

This map shows the geographic impact of Michelle Zanette'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 Zanette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Zanette more than expected).

Fields of papers citing papers by Michelle Zanette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Zanette. 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 Zanette. The network helps show where Michelle Zanette may publish in the future.

Co-authorship network of co-authors of Michelle Zanette

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Zanette. A scholar is included among the top collaborators of Michelle Zanette 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 Zanette. Michelle Zanette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Farrar, Gill, José Luís Molinuevo, & Michelle Zanette. (2019). Is there a difference in regional read [18F]flutemetamol amyloid patterns between end-of-life subjects and those with amnestic mild cognitive impairment?. European Journal of Nuclear Medicine and Molecular Imaging. 46(6). 1299–1308. 14 indexed citations
2.
Thal, Dietmar Rudolf, Thomas G. Beach, Michelle Zanette, et al.. (2018). Estimation of amyloid distribution by [18F]flutemetamol PET predicts the neuropathological phase of amyloid β-protein deposition. Acta Neuropathologica. 136(4). 557–567. 38 indexed citations
3.
Owenius, Rikard, et al.. (2017). Variability in Heart-to-Mediastinum Ratio from Planar 123I-MIBG Images of a Thorax Phantom for 6 Common γ-Camera Models. Journal of Nuclear Medicine Technology. 45(4). 297–303. 3 indexed citations
4.
Miki, Takami, Hiroyuki Shimada, Jae‐Seung Kim, et al.. (2017). Brain uptake and safety of Flutemetamol F 18 injection in Japanese subjects with probable Alzheimer’s disease, subjects with amnestic mild cognitive impairment and healthy volunteers. Annals of Nuclear Medicine. 31(3). 260–272. 10 indexed citations
6.
Ikonomović, Miloš D., Christopher Buckley, Kerstin Heurling, et al.. (2016). Post-mortem histopathology underlying β-amyloid PET imaging following flutemetamol F 18 injection. Acta Neuropathologica Communications. 4(1). 130–130. 74 indexed citations
7.
Beach, Thomas G., Dietmar Rudolf Thal, Michelle Zanette, Adrian Smith, & Christopher Buckley. (2016). Detection of Striatal Amyloid Plaques with [18F]flutemetamol: Validation with Postmortem Histopathology. Journal of Alzheimer s Disease. 52(3). 863–873. 41 indexed citations
8.
Thal, Dietmar Rudolf, Thomas G. Beach, Michelle Zanette, et al.. (2015). [18F]flutemetamol amyloid positron emission tomography in preclinical and symptomatic Alzheimer's disease: Specific detection of advanced phases of amyloid‐β pathology. Alzheimer s & Dementia. 11(8). 975–985. 113 indexed citations
9.

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.

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