Christopher Kazu Williams
- Physiology top 10%
- Molecular Biology
- Neurology
- Computational Theory and Mathematics top 10%
- Pharmacology
- Co-authors
- Harry V. VintersDavid EisenbergKevin A. MurrayPaul M. SeidlerM.R. SawayaMichael DeTureDennis W. DicksonDavid R. Boyer
- Topics
- Alzheimer's disease research and treatments (7 papers)Prion Diseases and Protein Misfolding (3 papers)Glioma Diagnosis and Treatment (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesItalyGreece
In The Last Decade
Christopher Kazu Williams
15 papers receiving 364 citations
Peers
Comparison fields: 5 of 90
- Physiology 191
- Molecular Biology 151
- Neurology 84
- Computational Theory and Mathematics 43
- Pharmacology 40
Countries citing papers authored by Christopher Kazu Williams
This map shows the geographic impact of Christopher Kazu Williams'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 Christopher Kazu Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Kazu Williams more than expected).
Fields of papers citing papers by Christopher Kazu Williams
This network shows the impact of papers produced by Christopher Kazu Williams. 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 Christopher Kazu Williams. The network helps show where Christopher Kazu Williams may publish in the future.
Co-authorship network of co-authors of Christopher Kazu Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Kazu Williams. A scholar is included among the top collaborators of Christopher Kazu Williams 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 Christopher Kazu Williams. Christopher Kazu Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 5 | |
| 8 | 117 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 21 | |
| 13 | 56 | |
| 14 | 47 | |
| 15 | 20 | |
| 16 | 19 | |
| 17 | 4 |
About Christopher Kazu Williams
Christopher Kazu Williams is a scholar working on Health Informatics, Biological Psychiatry and Neurology, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Prion Diseases and Protein Misfolding (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Physiology (191 citations), Health Informatics (8 citations) and Neurology (84 citations). Christopher Kazu Williams has collaborated with scholars based in United States, Italy and Greece. Frequent co-authors include Harry V. Vinters, David Eisenberg, Kevin A. Murray, Paul M. Seidler, M.R. Sawaya, Michael DeTure, Dennis W. Dickson, David R. Boyer, Romany Abskharon and Hope Pan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.