Michael C. Milone
Impact in
- Oncology top 0.05%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 0.2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 83
- CAR-T cell therapy research 81
- Immunology 45
- Immune Cell Function and Interaction 28
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 14
- Co-authors
- Carl H. JuneRoddy S. O’ConnorOmkar U. KawalekarSaba GhassemiStephan A. GruppBruce L. LevineUna O’DohertyAnne Chew
- Journals
- Blood (18 papers)Molecular Therapy (9 papers)The Journal of Immunology (7 papers)Clinical Cancer Research (4 papers)Cancer Immunology Research (4 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Michael C. Milone
134 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Oncology 11.5k
- Immunology 5.8k
- Genetics 3.5k
- Biomedical Engineering 3.6k
- Hematology 791
Countries citing papers authored by Michael C. Milone
This map shows the geographic impact of Michael C. Milone'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 Michael C. Milone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Milone more than expected).
Fields of papers citing papers by Michael C. Milone
This network shows the impact of papers produced by Michael C. Milone. 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 Michael C. Milone. The network helps show where Michael C. Milone may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Milone, 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 | 2025 | 1 | |
| 2 | 2023 | 33 | |
| 3 | Precision targeting of autoantigen-specific B cells in muscle-specific tyrosine kinase myasthenia gravis with chimeric autoantibody receptor T cells Hit paper breakdown → | 2023 | 107 |
| 4 | 2023 | 8 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 95 | |
| 10 | 2020 | 67 | |
| 11 | 2020 | 69 | |
| 12 | 2018 | 212 | |
| 13 | 2017 | 202 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 141 | |
| 16 | Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune disease Hit paper breakdown → | 2016 | 512 |
| 17 | 2015 | 91 | |
| 18 | 2015 | 233 | |
| 19 | 2014 | 344 | |
| 20 | 2012 | 1 |
About Michael C. Milone
Michael C. Milone is a scholar working on Oncology, Immunology, Transplantation, Toxicology and Biotechnology, having authored 136 papers that have together received 15.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (81 papers), Immune Cell Function and Interaction (28 papers), Virus-based gene therapy research (21 papers), Viral Infectious Diseases and Gene Expression in Insects (18 papers), T-cell and B-cell Immunology (16 papers), Nanowire Synthesis and Applications (15 papers), Immunotherapy and Immune Responses (14 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Oncology (11.5k citations), Immunology (5.8k citations), Genetics (3.5k citations), Biomedical Engineering (3.6k citations) and Hematology (791 citations). Michael C. Milone has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Carl H. June, Roddy S. O’Connor, Omkar U. Kawalekar, Saba Ghassemi, Stephan A. Grupp, Bruce L. Levine, Una O’Doherty, Anne Chew, David T. Teachey and David M. Barrett. Their work appears in journals such as Blood, Molecular Therapy, The Journal of Immunology, Clinical Cancer Research and Cancer Immunology Research.
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.