Christopher J. Wheeler
- Molecular Biology top 5%
- Immunology top 1%
- Oncology top 2%
- Genetics top 1%
- Genetics top 2%
- Co-authors
- Keith L. BlackJohn S. YuGentao LiuYing HanPhilip L. FelgnerYa-Li TsaiCh. SridharJiin Felgner
- Topics
- Immunotherapy and Immune Responses (33 papers)T-cell and B-cell Immunology (15 papers)Cancer Immunotherapy and Biomarkers (12 papers)
- Cited by
- ImmunologyGeneticsOncology
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Christopher J. Wheeler
67 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.3k
- Immunology 2.2k
- Oncology 1.5k
- Genetics 798
- Genetics 766
Countries citing papers authored by Christopher J. Wheeler
This map shows the geographic impact of Christopher J. Wheeler'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 Christopher J. Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Wheeler more than expected).
Fields of papers citing papers by Christopher J. Wheeler
This network shows the impact of papers produced by Christopher J. Wheeler. 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 Christopher J. Wheeler. The network helps show where Christopher J. Wheeler may publish in the future.
Co-authorship network of co-authors of Christopher J. Wheeler
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Wheeler. A scholar is included among the top collaborators of Christopher J. Wheeler 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 Christopher J. Wheeler. Christopher J. Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | 23 | |
| 6 | 24 | |
| 7 | 293 | |
| 8 | 15 | |
| 9 | Dendritic cell vaccines and obstacles to beneficial immunity in glioma patients. | 12 |
| 10 | 64 | |
| 11 | 30 | |
| 12 | 66 | |
| 13 | 25 | |
| 14 | 57 | |
| 15 | 63 | |
| 16 | 3 | |
| 17 | 46 | |
| 18 | 230 | |
| 19 | Enhanced gene delivery and mechanism studies with a novel series of cationic lipid formulations.breakdown → | 1077 |
| 20 | 40 |
About Christopher J. Wheeler
Christopher J. Wheeler is a scholar working on Immunology, Oncology and Genetics, having authored 70 papers that have together received 4.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (33 papers), T-cell and B-cell Immunology (15 papers) and Cancer Immunotherapy and Biomarkers (12 papers). The work is most often cited by research in Immunology (2.2k citations), Genetics (798 citations) and Oncology (1.5k citations). Christopher J. Wheeler has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Keith L. Black, John S. Yu, Gentao Liu, Ying Han, Philip L. Felgner, Ya-Li Tsai, Ch. Sridhar, Jiin Felgner, Patrick S. Ramsey and Michael U. Martin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.