Phillip Williams
Impact in
- Genetics top 1%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
- Immunology top 2%
- Immunotherapy and Immune Responses
Papers in
- Co-authors
- Jon A. WolffChong WangPhilip L. FelgnerGyula AcsádiRobert W. MaloneÁgnes JániMartin E. DowtyGuofeng Zhang
- Journals
- Human Gene Therapy (3 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (2 papers)Surgery (2 papers)Applied Physics Letters (2 papers)The American Journal of Surgical Pathology (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Phillip Williams
84 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Genetics 1.7k
- Immunology 1.2k
- Molecular Biology 3.2k
- Structural Biology 56
- Biotechnology 337
Countries citing papers authored by Phillip Williams
This map shows the geographic impact of Phillip 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 Phillip Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Williams more than expected).
Fields of papers citing papers by Phillip Williams
This network shows the impact of papers produced by Phillip 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 Phillip Williams. The network helps show where Phillip Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 7 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 15 | |
| 9 | 2013 | 13 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 210 | |
| 12 | Redefining High-Performance Concrete Structures | 2012 | 4 |
| 13 | Introduction to Dolby Digital Plus, an Enhancement to the Dolby Digital Coding System | 2004 | 13 |
| 14 | 2001 | 120 | |
| 15 | 1997 | 53 | |
| 16 | 1995 | 76 | |
| 17 | 1993 | 54 | |
| 18 | 1992 | 234 | |
| 19 | 1991 | 20 | |
| 20 | 1988 | 157 |
About Phillip Williams
Phillip Williams is a scholar working on Structural Biology, Acoustics and Ultrasonics, Signal Processing, Cancer Research and Radiation, having authored 92 papers that have together received 5.9k indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (15 papers), RNA Interference and Gene Delivery (8 papers), CRISPR and Genetic Engineering (7 papers), Mechanical and Optical Resonators (7 papers), Virus-based gene therapy research (6 papers), Force Microscopy Techniques and Applications (5 papers), Space Exploration and Technology (5 papers) and Breast Cancer Treatment Studies (5 papers). The work is most often cited by research in Genetics (1.7k citations), Immunology (1.2k citations), Molecular Biology (3.2k citations), Structural Biology (56 citations) and Biotechnology (337 citations). Phillip Williams has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jon A. Wolff, Chong Wang, Philip L. Felgner, Gyula Acsádi, Robert W. Malone, Ágnes Jáni, Martin E. Dowty, Guofeng Zhang, Shoushu Jiao and S. J. Papadakis. Their work appears in journals such as Human Gene Therapy, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Surgery, Applied Physics Letters and The American Journal of Surgical Pathology.
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.