Val J. Lowe
Impact in
- Psychiatry and Mental health top 0.05%
- Dementia and Cognitive Impairment Research
- Physiology top 0.05%
- Alzheimer's disease research and treatments
Papers in
-
- Dementia and Cognitive Impairment Research 226
-
- Medical Imaging Techniques and Applications 94
- Advanced Neuroimaging Techniques and Applications 78
- Radiomics and Machine Learning in Medical Imaging 35
- Co-authors
- Clifford R. JackRonald C. PetersenDavid S. KnopmanMatthew L. SenjemPrashanthi VemuriStephen D. WeigandBradley F. BoeveMary M. Machulda
- Journals
- Alzheimer s & Dementia (82 papers)Neurology (43 papers)Brain (25 papers)Journal of Alzheimer s Disease (18 papers)Journal of Nuclear Medicine (18 papers)
- Partner nations
- United StatesBelgiumCzechia
In The Last Decade
Val J. Lowe
557 papers receiving 25.6k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Psychiatry and Mental health 10.0k
- Physiology 10.7k
- Neurology 2.7k
- Radiology, Nuclear Medicine and Imaging 7.2k
- Cognitive Neuroscience 5.1k
Countries citing papers authored by Val J. Lowe
This map shows the geographic impact of Val J. Lowe'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 Val J. Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Val J. Lowe more than expected).
Fields of papers citing papers by Val J. Lowe
This network shows the impact of papers produced by Val J. Lowe. 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 Val J. Lowe. The network helps show where Val J. Lowe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Val J. Lowe, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 11 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 40 | |
| 18 | 2020 | 75 | |
| 19 | 2019 | 60 | |
| 20 | 2011 | 127 |
About Val J. Lowe
Val J. Lowe is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Physiology, Neurology and Cognitive Neuroscience, having authored 586 papers that have together received 26.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (226 papers), Alzheimer's disease research and treatments (193 papers), Medical Imaging Techniques and Applications (94 papers), Advanced Neuroimaging Techniques and Applications (78 papers), Functional Brain Connectivity Studies (58 papers), Parkinson's Disease Mechanisms and Treatments (50 papers), Neurobiology of Language and Bilingualism (47 papers) and Radiomics and Machine Learning in Medical Imaging (35 papers). The work is most often cited by research in Psychiatry and Mental health (10.0k citations), Physiology (10.7k citations), Neurology (2.7k citations), Radiology, Nuclear Medicine and Imaging (7.2k citations) and Cognitive Neuroscience (5.1k citations). Val J. Lowe has collaborated with scholars based in United States, Belgium and Czechia. Frequent co-authors include Clifford R. Jack, Ronald C. Petersen, David S. Knopman, Matthew L. Senjem, Prashanthi Vemuri, Stephen D. Weigand, Bradley F. Boeve, Mary M. Machulda, Jeffrey L. Gunter and Michelle M. Mielke. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Brain, Journal of Alzheimer s Disease and Journal of Nuclear Medicine.
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.