Jack C. Waymire
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Molecular Biology top 10%
- Physiology top 5%
- Cell Biology top 10%
- Co-authors
- Michael J. ZigmondFengli GuoRuth G. PerezEva LinNorman WeinerRichard A. BjurJohn W. HaycockRichard Boehme
- Topics
- Polyamine Metabolism and Applications (4 papers)Nuclear Receptors and Signaling (4 papers)Nerve injury and regeneration (3 papers)
- Partner nations
- United States
In The Last Decade
Jack C. Waymire
21 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 1.1k
- Neurology 904
- Molecular Biology 730
- Physiology 506
- Cell Biology 201
Countries citing papers authored by Jack C. Waymire
This map shows the geographic impact of Jack C. Waymire'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 Jack C. Waymire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack C. Waymire more than expected).
Fields of papers citing papers by Jack C. Waymire
This network shows the impact of papers produced by Jack C. Waymire. 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 Jack C. Waymire. The network helps show where Jack C. Waymire may publish in the future.
Co-authorship network of co-authors of Jack C. Waymire
This figure shows the co-authorship network connecting the top 25 collaborators of Jack C. Waymire. A scholar is included among the top collaborators of Jack C. Waymire 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 Jack C. Waymire. Jack C. Waymire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 17 | |
| 3 | 40 | |
| 4 | 12 | |
| 5 | A role for alpha-synuclein in the regulation of dopamine biosynthesis.breakdown → | 535 |
| 6 | A Role for α-Synuclein in the Regulation of Dopamine Biosynthesisbreakdown → | 501 |
| 7 | 95 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 38 | |
| 11 | 1 | |
| 12 | 38 | |
| 13 | 14 | |
| 14 | 25 | |
| 15 | 167 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 25 | |
| 19 | 17 | |
| 20 | Assay of tyrosine hydroxylase by coupled decarboxylation of dopa formed from 1-14C-l-tyrosinebreakdown → | 406 |
About Jack C. Waymire
Jack C. Waymire is a scholar working on Developmental Neuroscience, Biochemistry and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (4 papers), Nuclear Receptors and Signaling (4 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Neurology (904 citations), Cellular and Molecular Neuroscience (1.1k citations) and Neurology (167 citations). Jack C. Waymire has collaborated with scholars based in United States. Frequent co-authors include Michael J. Zigmond, Fengli Guo, Ruth G. Perez, Eva Lin, Norman Weiner, Richard A. Bjur, John W. Haycock, Richard Boehme, Gale L. Craviso and Michael F. Salvatore. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Analytical Biochemistry.
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.