Jordan R. Willis
- Molecular Biology
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Virology top 5%
- Epidemiology
- Co-authors
- James E. CroweBryan BrineyJens MeilerSamuel DeLucaBrett A. McKinneySteven A. CombsJonathan H. SheehanGordon Lemmon
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)Immune Cell Function and Interaction (7 papers)Glycosylation and Glycoproteins Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Jordan R. Willis
16 papers receiving 645 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 339
- Immunology 310
- Radiology, Nuclear Medicine and Imaging 289
- Virology 134
- Epidemiology 68
Countries citing papers authored by Jordan R. Willis
This map shows the geographic impact of Jordan R. Willis'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 Jordan R. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan R. Willis more than expected).
Fields of papers citing papers by Jordan R. Willis
This network shows the impact of papers produced by Jordan R. Willis. 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 Jordan R. Willis. The network helps show where Jordan R. Willis may publish in the future.
Co-authorship network of co-authors of Jordan R. Willis
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan R. Willis. A scholar is included among the top collaborators of Jordan R. Willis 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 Jordan R. Willis. Jordan R. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 6 | |
| 9 | 28 | |
| 10 | 61 | |
| 11 | 134 | |
| 12 | 66 | |
| 13 | 80 | |
| 14 | 61 | |
| 15 | 53 | |
| 16 | 47 | |
| 17 | 39 |
About Jordan R. Willis
Jordan R. Willis is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 17 papers that have together received 658 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (7 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Virology (134 citations), Immunology (310 citations) and Radiology, Nuclear Medicine and Imaging (289 citations). Jordan R. Willis has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include James E. Crowe, Bryan Briney, Jens Meiler, Samuel DeLuca, Brett A. McKinney, Steven A. Combs, Jonathan H. Sheehan, Gordon Lemmon, D.P. Nannemann and Elizabeth D. Nguyen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.