Mark D. Bunting
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 10%
- Chemokine receptors and signaling
- CAR-T cell therapy research
- Cytokine Signaling Pathways and Interactions
Papers in
- Immunology 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 5
- Oncology 7
- Chemokine receptors and signaling 7
- Co-authors
- Shaun R. McColl (8 shared papers)Iain Comerford (8 shared papers)Ervin E. Kara (5 shared papers)Yuka Harata‐Lee (3 shared papers)Carly E. Gregor (2 shared papers)Sarah Haylock‐Jacobs (3 shared papers)W. Reid Litchfield (2 shared papers)Heinrich Körner (3 shared papers)
- Journals
- Blood (4 papers)Immunology and Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Acta Psychologica (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Mark D. Bunting
16 papers receiving 722 citations
Peers
Comparison fields: 5 of 83
- Immunology 413
- Oncology 299
- Hematology 60
- Genetics 34
- Immunology and Allergy 19
Countries citing papers authored by Mark D. Bunting
This map shows the geographic impact of Mark D. Bunting'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 Mark D. Bunting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Bunting more than expected).
Fields of papers citing papers by Mark D. Bunting
This network shows the impact of papers produced by Mark D. Bunting. 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 Mark D. Bunting. The network helps show where Mark D. Bunting may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. Bunting, 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 | 2013 | 225 | |
| 2 | 2010 | 104 | |
| 3 | 2011 | 65 | |
| 4 | 2010 | 64 | |
| 5 | 2017 | 53 | |
| 6 | 2010 | 47 | |
| 7 | 2022 | 45 | |
| 8 | 2021 | 30 | |
| 9 | 2012 | 29 | |
| 10 | 2016 | 26 | |
| 11 | 2022 | 20 | |
| 12 | 2014 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 1985 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 2017 | 1 |
About Mark D. Bunting
Mark D. Bunting is a scholar working on Immunology, Oncology, Molecular Biology, Nutrition and Dietetics and Genetics, having authored 16 papers that have together received 726 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Chemokine receptors and signaling (7 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), CRISPR and Genetic Engineering (3 papers), Insect symbiosis and bacterial influences (2 papers), Clinical Nutrition and Gastroenterology (2 papers) and Neuroscience and Music Perception (1 paper). The work is most often cited by research in Immunology (413 citations), Oncology (299 citations), Hematology (60 citations), Genetics (34 citations) and Immunology and Allergy (19 citations). Mark D. Bunting has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Shaun R. McColl, Iain Comerford, Ervin E. Kara, Yuka Harata‐Lee, Carly E. Gregor, Sarah Haylock‐Jacobs, W. Reid Litchfield, Heinrich Körner, Robert J. B. Nibbs and Phillip Nguyen. Their work appears in journals such as Blood, Immunology and Cell Biology, Proceedings of the National Academy of Sciences, Acta Psychologica and Journal of Autoimmunity.
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.