David L. Boone
- Immunology top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Epidemiology top 5%
- Cancer Research top 5%
- Co-authors
- Averil MaSophia ChaiJames P. LodolceMarcia ChienPatrick R. BurkettThemistocles DassopoulosRima KokaRafi Ahmed
- Topics
- Immune Cell Function and Interaction (16 papers)T-cell and B-cell Immunology (13 papers)IL-33, ST2, and ILC Pathways (7 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesChileIreland
In The Last Decade
David L. Boone
34 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 3.5k
- Molecular Biology 762
- Oncology 746
- Epidemiology 579
- Cancer Research 576
Countries citing papers authored by David L. Boone
This map shows the geographic impact of David L. Boone'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 David L. Boone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Boone more than expected).
Fields of papers citing papers by David L. Boone
This network shows the impact of papers produced by David L. Boone. 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 David L. Boone. The network helps show where David L. Boone may publish in the future.
Co-authorship network of co-authors of David L. Boone
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Boone. A scholar is included among the top collaborators of David L. Boone 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 David L. Boone. David L. Boone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 75 | |
| 4 | 71 | |
| 5 | 20 | |
| 6 | 77 | |
| 7 | 313 | |
| 8 | The ubiquitin-modifying enzyme A20 is required for termination of Toll-like receptor responsesbreakdown → | 889 |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 93 | |
| 12 | 208 | |
| 13 | Interleukin 15 Is Required for Proliferative Renewal of Virus-specific Memory CD8 T Cellsbreakdown → | 572 |
| 14 | 88 | |
| 15 | 10 | |
| 16 | 55 | |
| 17 | 40 | |
| 18 | 151 | |
| 19 | 18 | |
| 20 | IL-15 Receptor Maintains Lymphoid Homeostasis by Supporting Lymphocyte Homing and Proliferationbreakdown → | 1076 |
About David L. Boone
David L. Boone is a scholar working on Immunology, Cancer Research and Behavioral Neuroscience, having authored 35 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (13 papers) and IL-33, ST2, and ILC Pathways (7 papers). The work is most often cited by research in Immunology (3.5k citations), Cancer Research (576 citations) and Oncology (746 citations). David L. Boone has collaborated with scholars based in United States, Chile and Ireland. Frequent co-authors include Averil Ma, Sophia Chai, James P. Lodolce, Marcia Chien, Patrick R. Burkett, Themistocles Dassopoulos, Rima Koka, Rafi Ahmed, Todd C. Becker and E. John Wherry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental 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.