Daniel G. Pellicci
Impact in
- Immunology top 0.2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Reproductive System and Pregnancy
- Oncology top 2%
- CAR-T cell therapy research
Papers in
- Immunology 75
- Immune Cell Function and Interaction 70
- T-cell and B-cell Immunology 57
- Immunotherapy and Immune Responses 10
- IL-33, ST2, and ILC Pathways 3
- Oncology 26
- CAR-T cell therapy research 25
- Co-authors
- Dale I. GodfreyMark J. SmythJamie RossjohnStuart P. BerzinsAdam P. UldrichKonstantinos KyparissoudisOnisha PatelJames McCluskey
- Journals
- The Journal of Immunology (11 papers)The Journal of Experimental Medicine (7 papers)Immunity (6 papers)Immunology and Cell Biology (6 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Daniel G. Pellicci
79 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 104
- Immunology 6.0k
- Oncology 1.6k
- Epidemiology 628
- Hematology 197
- Physiology 80
Countries citing papers authored by Daniel G. Pellicci
This map shows the geographic impact of Daniel G. Pellicci'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 Daniel G. Pellicci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Pellicci more than expected).
Fields of papers citing papers by Daniel G. Pellicci
This network shows the impact of papers produced by Daniel G. Pellicci. 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 Daniel G. Pellicci. The network helps show where Daniel G. Pellicci may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Pellicci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 29 | |
| 7 | 2021 | 64 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 13 | |
| 10 | Thymic development of unconventional T cells: how NKT cells, MAIT cells and gamma delta T cells emerge | 2020 | 10 |
| 11 | 2019 | 61 | |
| 12 | 2011 | 108 | |
| 13 | 2007 | 63 | |
| 14 | 2007 | 51 | |
| 15 | 2007 | 311 | |
| 16 | 2006 | 21 | |
| 17 | 2005 | 37 | |
| 18 | 2005 | 92 | |
| 19 | 2001 | 186 | |
| 20 | 2000 | 3 |
About Daniel G. Pellicci
Daniel G. Pellicci is a scholar working on Immunology, Oncology, Epidemiology, Physiology and Biophysics, having authored 80 papers that have together received 6.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (70 papers), T-cell and B-cell Immunology (57 papers), CAR-T cell therapy research (25 papers), Immunotherapy and Immune Responses (10 papers), Cytomegalovirus and herpesvirus research (5 papers), Diabetes and associated disorders (4 papers), Neonatal Respiratory Health Research (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Immunology (6.0k citations), Oncology (1.6k citations), Epidemiology (628 citations), Hematology (197 citations) and Physiology (80 citations). Daniel G. Pellicci has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dale I. Godfrey, Mark J. Smyth, Jamie Rossjohn, Stuart P. Berzins, Adam P. Uldrich, Konstantinos Kyparissoudis, Onisha Patel, James McCluskey, Gurdyal S. Besra and Hui‐Fern Koay. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Immunity, Immunology and Cell Biology and Proceedings of the National Academy of Sciences.
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.