Michael C. Goodnough
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cell Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Eric A. JohnsonCarl J. MalizioWilliam H. TeppDavid A. RichardsEdwin R. ChapmanMin DongLance L. SimpsonAndrew B. Maksymowych
- Topics
- Botulinum Toxin and Related Neurological Disorders (15 papers)Neurological disorders and treatments (9 papers)Hereditary Neurological Disorders (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Cell BiologyAnalytical Chemistry
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Michael C. Goodnough
17 papers receiving 800 citations
Peers
Comparison fields: 5 of 76
- Neurology 684
- Cellular and Molecular Neuroscience 404
- Molecular Biology 195
- Cell Biology 95
- Public Health, Environmental and Occupational Health 49
Countries citing papers authored by Michael C. Goodnough
This map shows the geographic impact of Michael C. Goodnough'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 Michael C. Goodnough with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Goodnough more than expected).
Fields of papers citing papers by Michael C. Goodnough
This network shows the impact of papers produced by Michael C. Goodnough. 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 Michael C. Goodnough. The network helps show where Michael C. Goodnough may publish in the future.
Co-authorship network of co-authors of Michael C. Goodnough
This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Goodnough. A scholar is included among the top collaborators of Michael C. Goodnough 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 Michael C. Goodnough. Michael C. Goodnough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 19 | |
| 3 | 99 | |
| 4 | 68 | |
| 5 | 57 | |
| 6 | 30 | |
| 7 | 223 | |
| 8 | 16 | |
| 9 | 10 | |
| 10 | 75 | |
| 11 | 29 | |
| 12 | 37 | |
| 13 | 77 | |
| 14 | 9 | |
| 15 | 25 | |
| 16 | 28 | |
| 17 | 26 |
About Michael C. Goodnough
Michael C. Goodnough is a scholar working on Neurology, Cellular and Molecular Neuroscience and Pharmacology, having authored 17 papers that have together received 837 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (15 papers), Neurological disorders and treatments (9 papers) and Hereditary Neurological Disorders (4 papers). The work is most often cited by research in Neurology (684 citations), Cellular and Molecular Neuroscience (404 citations) and Endocrinology (32 citations). Michael C. Goodnough has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Eric A. Johnson, Carl J. Malizio, William H. Tepp, David A. Richards, Edwin R. Chapman, Min Dong, Lance L. Simpson, Andrew B. Maksymowych, Marco Reinhard and James L. Pirkle. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Analytical Chemistry.
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.