Paul J. Neeson
- Oncology top 1%
- Immunology top 1%
- Molecular Biology top 5%
- Hematology top 1%
- Biomedical Engineering top 10%
- Co-authors
- David RitchieH. Miles PrincePhillip K. DarcySimon J. HarrisonMark J. SmythJoseph A. TrapaniHang QuachMichael H. Kershaw
- Topics
- Immune Cell Function and Interaction (50 papers)CAR-T cell therapy research (43 papers)Cancer Immunotherapy and Biomarkers (41 papers)
- Cited by
- ImmunologyOncologyHematology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Paul J. Neeson
137 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 114
- Oncology 2.4k
- Immunology 1.9k
- Molecular Biology 1.4k
- Hematology 757
- Biomedical Engineering 467
Countries citing papers authored by Paul J. Neeson
This map shows the geographic impact of Paul J. Neeson'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 Paul J. Neeson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Neeson more than expected).
Fields of papers citing papers by Paul J. Neeson
This network shows the impact of papers produced by Paul J. Neeson. 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 Paul J. Neeson. The network helps show where Paul J. Neeson may publish in the future.
Co-authorship network of co-authors of Paul J. Neeson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Neeson. A scholar is included among the top collaborators of Paul J. Neeson 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 Paul J. Neeson. Paul J. Neeson 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 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 38 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 51 | |
| 10 | 74 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 244 | |
| 14 | 74 | |
| 15 | 77 | |
| 16 | 63 | |
| 17 | 89 | |
| 18 | 112 | |
| 19 | CD3(bright) signals on gamma delta T cells identify IL-17A-producing V gamma 6V delta 1( ) T cells | 2 |
| 20 | 11 |
About Paul J. Neeson
Paul J. Neeson is a scholar working on Immunology, Oncology and Hematology, having authored 144 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (50 papers), CAR-T cell therapy research (43 papers) and Cancer Immunotherapy and Biomarkers (41 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (2.4k citations) and Hematology (757 citations). Paul J. Neeson has collaborated with scholars based in Australia, United States and France. Frequent co-authors include David Ritchie, H. Miles Prince, Phillip K. Darcy, Simon J. Harrison, Mark J. Smyth, Joseph A. Trapani, Hang Quach, Michael H. Kershaw, Paul A. Beavis and A. Keith Stewart. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.