Duncan MacGregor
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 22
- Immunotherapy and Immune Responses 19
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Genetics 11
- Glioma Diagnosis and Treatment 6
- Co-authors
- Mark J. SmythShayna E.A. StreetJoseph A. TrapaniDale I. GodfreyIan D. DavisJonathan CebonKevin ThiaJudy Browning
- Journals
- The Medical Journal of Australia (4 papers)Neurology (4 papers)Clinical Cancer Research (3 papers)Regulatory Peptides (3 papers)The Journal of Experimental Medicine (3 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Duncan MacGregor
78 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 121
- Immunology 1.5k
- Oncology 956
- Genetics 189
- Cardiology and Cardiovascular Medicine 401
- Molecular Biology 1.1k
Countries citing papers authored by Duncan MacGregor
This map shows the geographic impact of Duncan MacGregor'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 Duncan MacGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan MacGregor more than expected).
Fields of papers citing papers by Duncan MacGregor
This network shows the impact of papers produced by Duncan MacGregor. 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 Duncan MacGregor. The network helps show where Duncan MacGregor may publish in the future.
Co-authors
The 25 scholars most cited alongside Duncan MacGregor, 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 | 2023 | 0 | |
| 2 | 2021 | 6 | |
| 3 | 2021 | 9 | |
| 4 | 2019 | 55 | |
| 5 | 2018 | 6 | |
| 6 | 2017 | 14 | |
| 7 | 2016 | 14 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 11 | |
| 10 | 2013 | 18 | |
| 11 | 2011 | 35 | |
| 12 | 2008 | 152 | |
| 13 | 2006 | 13 | |
| 14 | 2006 | 57 | |
| 15 | 2005 | 9 | |
| 16 | 1998 | 179 | |
| 17 | 1996 | 42 | |
| 18 | 1996 | 42 | |
| 19 | 1994 | 13 | |
| 20 | 1992 | 81 |
About Duncan MacGregor
Duncan MacGregor is a scholar working on Immunology, Genetics, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Oncology, having authored 81 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), vaccines and immunoinformatics approaches (8 papers), Renin-Angiotensin System Studies (8 papers), T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (6 papers), Glioma Diagnosis and Treatment (6 papers) and Epilepsy research and treatment (6 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (956 citations), Genetics (189 citations), Cardiology and Cardiovascular Medicine (401 citations) and Molecular Biology (1.1k citations). Duncan MacGregor has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Mark J. Smyth, Shayna E.A. Street, Joseph A. Trapani, Dale I. Godfrey, Ian D. Davis, Jonathan Cebon, Kevin Thia, Judy Browning, Achim A. Jungbluth and Frederick A.O. Mendelsohn. Their work appears in journals such as The Medical Journal of Australia, Neurology, Clinical Cancer Research, Regulatory Peptides 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.