Austin J. Sumner
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 5%
- Physiology top 5%
- Co-authors
- Richard A. LewisJohn D. EnglandArthur K. AsburyMark J. BrownEdward K. RheeTakahiko SaidaRyuji KajiDavid A. Kaku
- Topics
- Peripheral Neuropathies and Disorders (20 papers)Hereditary Neurological Disorders (17 papers)Peripheral Nerve Disorders (12 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Austin J. Sumner
59 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 103
- Neurology 1.9k
- Cellular and Molecular Neuroscience 1.7k
- Radiology, Nuclear Medicine and Imaging 849
- Surgery 535
- Physiology 416
Countries citing papers authored by Austin J. Sumner
This map shows the geographic impact of Austin J. Sumner'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 Austin J. Sumner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin J. Sumner more than expected).
Fields of papers citing papers by Austin J. Sumner
This network shows the impact of papers produced by Austin J. Sumner. 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 Austin J. Sumner. The network helps show where Austin J. Sumner may publish in the future.
Co-authorship network of co-authors of Austin J. Sumner
This figure shows the co-authorship network connecting the top 25 collaborators of Austin J. Sumner. A scholar is included among the top collaborators of Austin J. Sumner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Austin J. Sumner. Austin J. Sumner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 156 | |
| 3 | 15 | |
| 4 | 25 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | Demyelinating disease of the peripheral nervous system | 1 |
| 8 | 129 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 90 | |
| 13 | Nerve conduction and electromyography | 2 |
| 14 | 10 | |
| 15 | 7 | |
| 16 | 23 | |
| 17 | 17 | |
| 18 | 22 | |
| 19 | 14 | |
| 20 | The Physiology of peripheral nerve disease | 50 |
About Austin J. Sumner
Austin J. Sumner is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 61 papers that have together received 3.2k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (20 papers), Hereditary Neurological Disorders (17 papers) and Peripheral Nerve Disorders (12 papers). The work is most often cited by research in Neurology (1.9k citations), Cellular and Molecular Neuroscience (1.7k citations) and Radiology, Nuclear Medicine and Imaging (849 citations). Austin J. Sumner has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Richard A. Lewis, John D. England, Arthur K. Asbury, Mark J. Brown, Edward K. Rhee, Takahiko Saida, Ryuji Kaji, David A. Kaku, Donald H. Silberberg and Kyoko Saida. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Brain.
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.