William L. Whaley
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 5%
- Genetics top 10%
- Spectroscopy top 10%
- Co-authors
- James F. GusellaJohn J. MaddenMarcy E. MacDonaldRoger E. KoeppeJohn J. WasmuthHans LehrachCarol Sze Ki LinHoward D. Rees
- Topics
- Genetic Neurodegenerative Diseases (11 papers)Mitochondrial Function and Pathology (5 papers)Analytical Chemistry and Chromatography (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
William L. Whaley
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 818
- Neurology 274
- Genetics 246
- Spectroscopy 90
Countries citing papers authored by William L. Whaley
This map shows the geographic impact of William L. Whaley'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 William L. Whaley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William L. Whaley more than expected).
Fields of papers citing papers by William L. Whaley
This network shows the impact of papers produced by William L. Whaley. 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 William L. Whaley. The network helps show where William L. Whaley may publish in the future.
Co-authorship network of co-authors of William L. Whaley
This figure shows the co-authorship network connecting the top 25 collaborators of William L. Whaley. A scholar is included among the top collaborators of William L. Whaley 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 William L. Whaley. William L. Whaley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 18 | |
| 3 | 29 | |
| 4 | 20 | |
| 5 | 45 | |
| 6 | 4 | |
| 7 | 184 | |
| 8 | 6 | |
| 9 | 23 | |
| 10 | 27 | |
| 11 | 42 | |
| 12 | 40 | |
| 13 | Complex patterns of linkage disequilibrium in the Huntington disease region. | 63 |
| 14 | 35 | |
| 15 | A yeast artificial chromosome telomere clone spanning a possible location of the Huntington disease gene. | 56 |
| 16 | 48 | |
| 17 | 79 | |
| 18 | 39 | |
| 19 | 28 | |
| 20 | 44 |
About William L. Whaley
William L. Whaley is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (11 papers), Mitochondrial Function and Pathology (5 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (818 citations), Neurology (274 citations) and Molecular Biology (1.0k citations). William L. Whaley has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James F. Gusella, John J. Madden, Marcy E. MacDonald, Roger E. Koeppe, John J. Wasmuth, Hans Lehrach, Carol Sze Ki Lin, Howard D. Rees, Steven M. Hersch and Allan I. Levey. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.