Ryan T. Mott
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
- Genetics 14
- Glioma Diagnosis and Treatment 14
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- Neuroblastoma Research and Treatments 4
- Neurofibromatosis and Schwannoma Cases 3
- Co-authors
- Qing Xu (1 shared paper)Michael P. Vitek (1 shared paper)William E. Van Nostrand (1 shared paper)Hayley J. Sharpe (1 shared paper)Carol A. Colton (1 shared paper)Christine M. Hulette (2 shared papers)Bruce R. Smoller (1 shared paper)Thomas L. Ellis (4 shared papers)
- Journals
- Journal of Neuro-Oncology (5 papers)Neuro-Oncology (3 papers)Journal of Cutaneous Pathology (2 papers)Journal of Neuropathology & Experimental Neurology (2 papers)Clinical Neuropathology (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Ryan T. Mott
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Neurology 356
- Biological Psychiatry 72
- Genetics 152
- Neurology 178
- Physiology 305
Countries citing papers authored by Ryan T. Mott
This map shows the geographic impact of Ryan T. Mott'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 Ryan T. Mott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Mott more than expected).
Fields of papers citing papers by Ryan T. Mott
This network shows the impact of papers produced by Ryan T. Mott. 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 Ryan T. Mott. The network helps show where Ryan T. Mott may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan T. Mott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 350 | |
| 2 | 2004 | 149 | |
| 3 | 2009 | 118 | |
| 4 | 2004 | 97 | |
| 5 | 2012 | 86 | |
| 6 | 2005 | 84 | |
| 7 | 2005 | 61 | |
| 8 | 2017 | 35 | |
| 9 | 2013 | 33 | |
| 10 | 2002 | 32 | |
| 11 | 2018 | 32 | |
| 12 | 2009 | 30 | |
| 13 | 2015 | 28 | |
| 14 | 2020 | 25 | |
| 15 | 2009 | 18 | |
| 16 | 2009 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2005 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2012 | 10 |
About Ryan T. Mott
Ryan T. Mott is a scholar working on Genetics, Neurology, Epidemiology, Surgery and Oncology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Meningioma and schwannoma management (7 papers), Neuroblastoma Research and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Immune cells in cancer (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Neurology (356 citations), Biological Psychiatry (72 citations), Genetics (152 citations), Neurology (178 citations) and Physiology (305 citations). Ryan T. Mott has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Qing Xu, Michael P. Vitek, William E. Van Nostrand, Hayley J. Sharpe, Carol A. Colton, Christine M. Hulette, Bruce R. Smoller, Thomas L. Ellis, Stephen B. Tatter and Gregory S. Waters. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, Journal of Cutaneous Pathology, Journal of Neuropathology & Experimental Neurology and Clinical Neuropathology.
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.