Peter Molloy
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 11
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Oncology 10
- CAR-T cell therapy research 10
- Co-authors
- Bent K. Jakobsen (10 shared papers)Annelise Vuidepot (8 shared papers)William J. Harris (3 shared papers)Milos Aleksic (2 shared papers)Nathaniel Liddy (4 shared papers)Kyong‐Mi Chang (2 shared papers)Nick Pumphrey (1 shared paper)Steven M. Dunn (2 shared papers)
- Journals
- Molecular Immunology (2 papers)Molecular Therapy (1 paper)HIV Medicine (1 paper)Nature Medicine (1 paper)Current Opinion in Pharmacology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Peter Molloy
17 papers receiving 782 citations
Peers
Comparison fields: 5 of 59
- Immunology 524
- Oncology 483
- Virology 70
- Radiology, Nuclear Medicine and Imaging 221
- Genetics 122
Countries citing papers authored by Peter Molloy
This map shows the geographic impact of Peter Molloy'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 Peter Molloy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Molloy more than expected).
Fields of papers citing papers by Peter Molloy
This network shows the impact of papers produced by Peter Molloy. 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 Peter Molloy. The network helps show where Peter Molloy may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Molloy, 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 | 2008 | 197 | |
| 2 | 2012 | 183 | |
| 3 | 2007 | 164 | |
| 4 | 1994 | 80 | |
| 5 | 2007 | 47 | |
| 6 | 1995 | 37 | |
| 7 | 2016 | 31 | |
| 8 | 2005 | 29 | |
| 9 | 1998 | 11 | |
| 10 | 2010 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 1995 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2015 | 3 | |
| 15 | Engineered affinity-enhanced immune-mobilising monoclonal T cell receptors (ImmTAVs) for HIV cure | 2017 | 1 |
| 16 | 2020 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2003 | 1 |
About Peter Molloy
Peter Molloy is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Virology, having authored 18 papers that have together received 808 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immune Cell Function and Interaction (7 papers), Protein purification and stability (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), HIV Research and Treatment (3 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (524 citations), Oncology (483 citations), Virology (70 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Genetics (122 citations). Peter Molloy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Bent K. Jakobsen, Annelise Vuidepot, William J. Harris, Milos Aleksic, Nathaniel Liddy, Kyong‐Mi Chang, Nick Pumphrey, Steven M. Dunn, Charles Cunningham and Andrew K. Sewell. Their work appears in journals such as Molecular Immunology, Molecular Therapy, HIV Medicine, Nature Medicine and Current Opinion in Pharmacology.
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.