Alexander Pilozzi

17 papers receiving 335 citations

Peers

Alexander Pilozzi
Comparison fields: 5 of 109
  • Health Informatics 9
  • Biological Psychiatry 11
  • Psychiatry and Mental health 60
  • Rehabilitation 20
  • Physiology 64
Replace Fong-Lin Jang with:
Fong-Lin Jang Taiwan
Jolanta Masiak Poland
Anthony L. Rosner United States
Yumi Umeda‐Kameyama Japan
Zachary T. Goodman United States
Maria Tome United Kingdom
Min Ji Kim South Korea
Jennifer Felsted United States
Hua Wei China
Alexander Pilozzi relative to Fong-Lin Jang Taiwan Fong-Lin Jang's profile →
Citations per field
00.5×3.9×
Fong-Lin Jang · 1×
Citations per year

Countries citing papers authored by Alexander Pilozzi

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Pilozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alexander Pilozzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexander Pilozzi Line = papers co-authored together Alexander Pilozzi links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020109
2 202042
3 202035
4 202026
5 202021
6 202019
7 202016
8
Nanoneurotoxicity and Potential Nanotheranostics for Alzheimer's Disease.
201915
9 202113
10 202012
11 202311
12 20208
13 20208
14 20205
15 20205
16
Designing socially assistive robots for Alzheimer’s disease and related dementia patients and their caregivers: where we are and where we are headed
20201
17 20251

About Alexander Pilozzi

Alexander Pilozzi is a scholar working on Physiology, Molecular Biology, Materials Chemistry, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 17 papers that have together received 347 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (3 papers), Nanoparticles: synthesis and applications (3 papers), Autism Spectrum Disorder Research (2 papers), Dementia and Cognitive Impairment Research (2 papers), Trace Elements in Health (2 papers), Heavy Metal Exposure and Toxicity (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (9 citations), Biological Psychiatry (11 citations), Psychiatry and Mental health (60 citations), Rehabilitation (20 citations) and Physiology (64 citations). Alexander Pilozzi has collaborated with scholars based in United States and China. Frequent co-authors include Xudong Huang, Lawrence H. Yang, Ying Shi, David S. Cohen, Jack T. Rogers, Jenny M. Tam, Catherine M. Cahill, David Mischoulon, Kristy A. Carpenter and Lee Josephson. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Molecules, Journal of Clinical Medicine and Biomolecules.

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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