Bryan T. Hurtle
Impact in
Papers in
-
- Photoreceptor and optogenetics research 2
- Neuroscience and Neuropharmacology Research 2
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- Amyotrophic Lateral Sclerosis Research 2
- Co-authors
- Christopher J. Donnelly (3 shared papers)Amantha Thathiah (4 shared papers)Edward Gomes (1 shared paper)Lin E. Guo (1 shared paper)Jocelyn C. Mauna (1 shared paper)Patrick G. Needham (1 shared paper)Katie E. Copley (1 shared paper)James Shorter (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (1 paper)Alzheimer s & Dementia (1 paper)Journal of Clinical Investigation (1 paper)Neuron (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Bryan T. Hurtle
6 papers receiving 495 citations
Bryan T. Hurtle's Hit Papers
Peers
Comparison fields: 5 of 50
- Neurology 222
- Genetics 116
- Molecular Biology 372
- Biochemistry 29
- Cellular and Molecular Neuroscience 67
Countries citing papers authored by Bryan T. Hurtle
This map shows the geographic impact of Bryan T. Hurtle'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 Bryan T. Hurtle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan T. Hurtle more than expected).
Fields of papers citing papers by Bryan T. Hurtle
This network shows the impact of papers produced by Bryan T. Hurtle. 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 Bryan T. Hurtle. The network helps show where Bryan T. Hurtle may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan T. Hurtle, 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 | RNA Binding Antagonizes Neurotoxic Phase Transitions of TDP-43 Hit paper breakdown → | 2019 | 412 |
| 2 | 2016 | 26 | |
| 3 | 2022 | 25 | |
| 4 | 2023 | 25 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 6 | |
| 7 | 2022 | 0 |
About Bryan T. Hurtle
Bryan T. Hurtle is a scholar working on Cellular and Molecular Neuroscience, Neurology, Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 7 papers that have together received 500 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (2 papers), Computational Drug Discovery Methods (2 papers), Alzheimer's disease research and treatments (2 papers), RNA Research and Splicing (2 papers), Photoreceptor and optogenetics research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Bioinformatics and Genomic Networks (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (222 citations), Genetics (116 citations), Molecular Biology (372 citations), Biochemistry (29 citations) and Cellular and Molecular Neuroscience (67 citations). Bryan T. Hurtle has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Christopher J. Donnelly, Amantha Thathiah, Edward Gomes, Lin E. Guo, Jocelyn C. Mauna, Patrick G. Needham, Katie E. Copley, James Shorter, Michael R. DeChellis-Marks and Jeffrey L. Brodsky. Their work appears in journals such as Journal of Medicinal Chemistry, Alzheimer s & Dementia, Journal of Clinical Investigation, Neuron and Communications Biology.
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.