Aimee Williams
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- CRISPR and Genetic Engineering 5
- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 1
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 2
- Co-authors
- Yuko Fujiwara (2 shared papers)Stuart H. Orkin (2 shared papers)Aaron N. Chang (1 shared paper)Frederick W. Alt (7 shared papers)Jessica Chao (1 shared paper)Ralph Gonzales (1 shared paper)Timothy J. Judson (1 shared paper)Christopher J. Miller (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature (2 papers)Blood (1 paper)Journal of the American Medical Informatics Association (1 paper)Quality Management in Health Care (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Aimee Williams
11 papers receiving 439 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 7
- Immunology 83
- Hematology 37
- Molecular Biology 203
- Health Information Management 13
Countries citing papers authored by Aimee Williams
This map shows the geographic impact of Aimee 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 Aimee Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aimee Williams more than expected).
Fields of papers citing papers by Aimee Williams
This network shows the impact of papers produced by Aimee 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 Aimee Williams. The network helps show where Aimee Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Aimee Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | 2003 | 125 | |
| 3 | 2021 | 68 | |
| 4 | 2018 | 37 | |
| 5 | 2003 | 31 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 13 | |
| 8 | 2004 | 10 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2018 | 1 |
About Aimee Williams
Aimee Williams is a scholar working on Molecular Biology, Immunology, Virology, Genetics and Genetics, having authored 11 papers that have together received 448 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), T-cell and B-cell Immunology (4 papers), Pluripotent Stem Cells Research (3 papers), HIV Research and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Health Informatics (7 citations), Immunology (83 citations), Hematology (37 citations), Molecular Biology (203 citations) and Health Information Management (13 citations). Aimee Williams has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Yuko Fujiwara, Stuart H. Orkin, Aaron N. Chang, Frederick W. Alt, Jessica Chao, Ralph Gonzales, Timothy J. Judson, Christopher J. Miller, Anobel Y. Odisho and Aaron Neinstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Blood, Journal of the American Medical Informatics Association and Quality Management in Health Care.
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.