William Matloff
Impact in
-
- Functional Brain Connectivity Studies
-
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
Papers in
-
- Functional Brain Connectivity Studies 5
- Genetics 5
- Genetic Associations and Epidemiology 4
- Co-authors
- Lu Zhao (11 shared papers)Arthur W. Toga (10 shared papers)Kaida Ning (7 shared papers)Fengzhu Sun (4 shared papers)John P. Wikswo (1 shared paper)Lucas Hofmeister (1 shared paper)Brian C. Evans (1 shared paper)Ayeeshik Kole (1 shared paper)
- Journals
- Neurobiology of Aging (2 papers)Scientific Reports (2 papers)Cerebral Cortex (1 paper)Biological Psychiatry (1 paper)Alzheimer s Research & Therapy (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
William Matloff
12 papers receiving 554 citations
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 98
- Biomedical Engineering 218
- Psychiatry and Mental health 62
- Cellular and Molecular Neuroscience 58
- Neurology 26
Countries citing papers authored by William Matloff
This map shows the geographic impact of William Matloff'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 William Matloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Matloff more than expected).
Fields of papers citing papers by William Matloff
This network shows the impact of papers produced by William Matloff. 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 William Matloff. The network helps show where William Matloff may publish in the future.
Co-authors
The 25 scholars most cited alongside William Matloff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 240 | |
| 2 | 2020 | 108 | |
| 3 | 2018 | 51 | |
| 4 | 2018 | 48 | |
| 5 | 2020 | 47 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2019 | 9 | |
| 10 | 2022 | 5 | |
| 11 | Identification of Dysregulated Genes for Late-Onset Alzheimer's Disease Using Gene Expression Data in Brain. | 2020 | 4 |
| 12 | 2020 | 3 |
About William Matloff
William Matloff is a scholar working on Cognitive Neuroscience, Genetics, Physiology, Psychiatry and Mental health and Molecular Biology, having authored 12 papers that have together received 563 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Genetic Associations and Epidemiology (4 papers), Alzheimer's disease research and treatments (3 papers), Dementia and Cognitive Impairment Research (3 papers), Bioinformatics and Genomic Networks (2 papers), Health, Environment, Cognitive Aging (2 papers), Evolutionary Psychology and Human Behavior (1 paper) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (98 citations), Biomedical Engineering (218 citations), Psychiatry and Mental health (62 citations), Cellular and Molecular Neuroscience (58 citations) and Neurology (26 citations). William Matloff has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Lu Zhao, Arthur W. Toga, Kaida Ning, Fengzhu Sun, John P. Wikswo, Lucas Hofmeister, Brian C. Evans, Ayeeshik Kole, Ivo D. Dinov and Hosung Kim. Their work appears in journals such as Neurobiology of Aging, Scientific Reports, Cerebral Cortex, Biological Psychiatry and Alzheimer s Research & Therapy.
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.