J.J. Skehel
- Epidemiology top 0.01%
- Molecular Biology top 0.1%
- Infectious Diseases top 0.05%
- Immunology top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Co-authors
- Don C. WileyIan A. WilsonS.J. GamblinAlan HayDavid StevensWinfríed WeissenhornStephen C. HarrisonStephen A. Wharton
- Topics
- Influenza Virus Research Studies (156 papers)Monoclonal and Polyclonal Antibodies Research (87 papers)Respiratory viral infections research (52 papers)
- Partner nations
- United StatesUnited KingdomTanzania
In The Last Decade
J.J. Skehel
255 papers receiving 32.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Epidemiology 20.6k
- Molecular Biology 15.5k
- Infectious Diseases 7.8k
- Immunology 7.1k
- Radiology, Nuclear Medicine and Imaging 5.4k
Countries citing papers authored by J.J. Skehel
This map shows the geographic impact of J.J. Skehel'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 J.J. Skehel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.J. Skehel more than expected).
Fields of papers citing papers by J.J. Skehel
This network shows the impact of papers produced by J.J. Skehel. 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 J.J. Skehel. The network helps show where J.J. Skehel may publish in the future.
Co-authorship network of co-authors of J.J. Skehel
This figure shows the co-authorship network connecting the top 25 collaborators of J.J. Skehel. A scholar is included among the top collaborators of J.J. Skehel 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 J.J. Skehel. J.J. Skehel 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 | 14 | |
| 3 | 43 | |
| 4 | 102 | |
| 5 | 28 | |
| 6 | 9 | |
| 7 | 325 | |
| 8 | Receptor binding and priming of the spike protein of SARS-CoV-2 for membrane fusionbreakdown → | 514 |
| 9 | 224 | |
| 10 | 449 | |
| 11 | 5 | |
| 12 | 215 | |
| 13 | Printed covalent glycan array for ligand profiling of diverse glycan binding proteinsbreakdown → | 905 |
| 14 | 9 | |
| 15 | 320 | |
| 16 | 16 | |
| 17 | 4 | |
| 18 | INFLUENZA ACTIVITY - UNITED-STATES AND WORLDWIDE - COMPOSITION OF THE 1992-1993 INFLUENZA VACCINE (REPRINTED FROM MMWR, VOL 41, PG 315-323, 1992) | 2 |
| 19 | 22 | |
| 20 | 1 |
About J.J. Skehel
J.J. Skehel is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 256 papers that have together received 34.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (156 papers), Monoclonal and Polyclonal Antibodies Research (87 papers) and Respiratory viral infections research (52 papers). The work is most often cited by research in Virology (3.8k citations), Epidemiology (20.6k citations) and Infectious Diseases (7.8k citations). J.J. Skehel has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include Don C. Wiley, Ian A. Wilson, S.J. Gamblin, Alan Hay, David Stevens, Winfríed Weissenhorn, Stephen C. Harrison, Stephen A. Wharton, David A. Steinhauer and Per A. Bullough. Their work appears in journals such as Nature, Science and Cell.
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.