William F. Wade
- Immunology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Endocrinology top 2%
- Oncology
- Co-authors
- Terri K. WadeRandolph J. NoelleMark L. LangTania H. WattsRonald K. TaylorLi ShenRichard J. BarthCory L. Ahonen
- Topics
- Monoclonal and Polyclonal Antibodies Research (19 papers)Escherichia coli research studies (18 papers)Vibrio bacteria research studies (17 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Cell Biology
- Partner nations
- United StatesFranceAustralia
In The Last Decade
William F. Wade
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Immunology 1.3k
- Molecular Biology 622
- Radiology, Nuclear Medicine and Imaging 264
- Endocrinology 236
- Oncology 186
Countries citing papers authored by William F. Wade
This map shows the geographic impact of William F. Wade'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 F. Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William F. Wade more than expected).
Fields of papers citing papers by William F. Wade
This network shows the impact of papers produced by William F. Wade. 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 F. Wade. The network helps show where William F. Wade may publish in the future.
Co-authorship network of co-authors of William F. Wade
This figure shows the co-authorship network connecting the top 25 collaborators of William F. Wade. A scholar is included among the top collaborators of William F. Wade 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 F. Wade. William F. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 8 | |
| 3 | 18 | |
| 4 | 14 | |
| 5 | Weapon Scoring Results from a GPS Acoustic Weapons Test and Training System | 1 |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 30 | |
| 9 | 64 | |
| 10 | 18 | |
| 11 | 118 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | MHC class II lateral diffusion measured over entire cells by interferometric fringe pattern photobleaching recovery | 3 |
| 16 | 6 | |
| 17 | 145 | |
| 18 | 17 | |
| 19 | 66 | |
| 20 | 1 |
About William F. Wade
William F. Wade is a scholar working on Endocrinology, Immunology and Immunology and Allergy, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (19 papers), Escherichia coli research studies (18 papers) and Vibrio bacteria research studies (17 papers). The work is most often cited by research in Immunology (1.3k citations), Endocrinology (236 citations) and Immunology and Allergy (92 citations). William F. Wade has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Terri K. Wade, Randolph J. Noelle, Mark L. Lang, Tania H. Watts, Ronald K. Taylor, Li Shen, Richard J. Barth, Cory L. Ahonen, John P. Vasilakos and Ross M. Kedl. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.