Cliona M. Rooney
- Oncology top 0.01%
- CAR-T cell therapy research 187
- Viral-associated cancers and disorders 119
- Immunology top 0.05%
- Immune Cell Function and Interaction 135
- Immunotherapy and Immune Responses 63
- T-cell and B-cell Immunology 39
- Genetics top 0.05%
- Virus-based gene therapy research 114
- Pathology and Forensic Medicine top 0.1%
- Lymphoma Diagnosis and Treatment 68
- Hematology top 0.2%
-
- Cytomegalovirus and herpesvirus research 131
- Co-authors
- Helen E. HeslopMalcolm K. BrennerGianpietro DottiBarbara SavoldoAdrian P. GeeCatherine M. BollardAnn M. LeenRobert A. Krance
- Cited by
- OncologyImmunologyGenetics
- Journals
- Blood (94 papers)Biology of Blood and Marrow Transplantation (30 papers)Molecular Therapy (28 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Cliona M. Rooney
382 papers receiving 30.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Oncology 24.6k
- Immunology 12.6k
- Genetics 8.8k
- Pathology and Forensic Medicine 4.0k
- Hematology 2.3k
Countries citing papers authored by Cliona M. Rooney
This map shows the geographic impact of Cliona M. Rooney'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 Cliona M. Rooney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cliona M. Rooney more than expected).
Fields of papers citing papers by Cliona M. Rooney
This network shows the impact of papers produced by Cliona M. Rooney. 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 Cliona M. Rooney. The network helps show where Cliona M. Rooney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cliona M. Rooney, 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 | 2023 | 8 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 142 | |
| 6 | 2019 | 219 | |
| 7 | 2017 | 220 | |
| 8 | 2017 | 81 | |
| 9 | 2016 | 234 | |
| 10 | 2013 | 392 | |
| 11 | 2012 | 63 | |
| 12 | 2012 | 21 | |
| 13 | 2011 | 56 | |
| 14 | 2011 | 5 | |
| 15 | 2010 | 160 | |
| 16 | 2009 | 167 | |
| 17 | 2007 | 138 | |
| 18 | 2002 | 43 | |
| 19 | 1995 | 103 | |
| 20 | Use of gene-modified virus-specific T lymphocytes to control Epstein-Barr-virus-related lymphoproliferationbreakdown → | 1995 | 942 |
About Cliona M. Rooney
Cliona M. Rooney is a scholar working on Oncology, Immunology and Genetics, having authored 388 papers that have together received 31.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (187 papers), Immune Cell Function and Interaction (135 papers), Cytomegalovirus and herpesvirus research (131 papers), Viral-associated cancers and disorders (119 papers), Virus-based gene therapy research (114 papers), Lymphoma Diagnosis and Treatment (68 papers), Immunotherapy and Immune Responses (63 papers) and T-cell and B-cell Immunology (39 papers). The work is most often cited by research in Oncology (24.6k citations), Immunology (12.6k citations) and Genetics (8.8k citations). Cliona M. Rooney has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Helen E. Heslop, Malcolm K. Brenner, Gianpietro Dotti, Barbara Savoldo, Adrian P. Gee, Catherine M. Bollard, Ann M. Leen, Robert A. Krance, Stephen Gottschalk and Hao Liu. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Molecular Therapy, Cytotherapy and Journal of Immunotherapy.
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.