Brad T. Moore
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Plant Science top 5%
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
- Rice Cultivation and Yield Improvement
- Smart Agriculture and AI
- Legume Nitrogen Fixing Symbiosis
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
-
- Cerebral Venous Sinus Thrombosis 2
- Traumatic Brain Injury and Neurovascular Disturbances 2
- Co-authors
- L. Ryan Baugh (4 shared papers)Philip N. Benfey (3 shared papers)James M. Jordan (3 shared papers)Christopher Topp (2 shared papers)Yuriy Mileyko (2 shared papers)Joshua S. Weitz (2 shared papers)Alexander Klaus Bucksch (2 shared papers)Olga Symonova (2 shared papers)
- Journals
- eLife (1 paper)BMC Plant Biology (1 paper)Nature Methods (1 paper)The Ultrasound Journal (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Brad T. Moore
10 papers receiving 847 citations
Peers
Comparison fields: 5 of 88
- Aging 174
- Plant Science 548
- Endocrine and Autonomic Systems 48
- Genetics 120
- Agronomy and Crop Science 42
Countries citing papers authored by Brad T. Moore
This map shows the geographic impact of Brad T. Moore'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 Brad T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad T. Moore more than expected).
Fields of papers citing papers by Brad T. Moore
This network shows the impact of papers produced by Brad T. Moore. 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 Brad T. Moore. The network helps show where Brad T. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad T. Moore, 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 | 2012 | 293 | |
| 2 | 2013 | 235 | |
| 3 | 2012 | 100 | |
| 4 | 2013 | 98 | |
| 5 | 2017 | 67 | |
| 6 | 2015 | 42 | |
| 7 | 2019 | 13 | |
| 8 | 2023 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2023 | 1 |
About Brad T. Moore
Brad T. Moore is a scholar working on Aging, Neurology, Plant Science, Biophysics and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 858 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Cerebral Venous Sinus Thrombosis (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Plant nutrient uptake and metabolism (2 papers), Cerebrovascular and Carotid Artery Diseases (1 paper), Plant Molecular Biology Research (1 paper), Birth, Development, and Health (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Aging (174 citations), Plant Science (548 citations), Endocrine and Autonomic Systems (48 citations), Genetics (120 citations) and Agronomy and Crop Science (42 citations). Brad T. Moore has collaborated with scholars based in United States, Australia and China. Frequent co-authors include L. Ryan Baugh, Philip N. Benfey, James M. Jordan, Christopher Topp, Yuriy Mileyko, Joshua S. Weitz, Alexander Klaus Bucksch, Olga Symonova, John Harer and Anjali S. Iyer‐Pascuzzi. Their work appears in journals such as eLife, BMC Plant Biology, Nature Methods, The Ultrasound Journal and Journal of Visualized Experiments.
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.