Marc R. Theoret
- Oncology top 0.5%
- Immunology top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Cancer Research top 2%
- Co-authors
- Richard PazdurNicholas P. RestifoSteven A. RosenbergZhiya YuJulia A. BeaverKirsten B. GoldbergDhanalakshmi ChinnasamyRajeev Shrimali
- Topics
- Cancer Immunotherapy and Biomarkers (39 papers)CAR-T cell therapy research (30 papers)Immunotherapy and Immune Responses (22 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Marc R. Theoret
127 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Oncology 4.5k
- Immunology 2.8k
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 1.2k
- Cancer Research 824
Countries citing papers authored by Marc R. Theoret
This map shows the geographic impact of Marc R. Theoret'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 Marc R. Theoret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc R. Theoret more than expected).
Fields of papers citing papers by Marc R. Theoret
This network shows the impact of papers produced by Marc R. Theoret. 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 Marc R. Theoret. The network helps show where Marc R. Theoret may publish in the future.
Co-authorship network of co-authors of Marc R. Theoret
This figure shows the co-authorship network connecting the top 25 collaborators of Marc R. Theoret. A scholar is included among the top collaborators of Marc R. Theoret based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc R. Theoret. Marc R. Theoret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 33 | |
| 10 | 34 | |
| 11 | 97 | |
| 12 | 33 | |
| 13 | 77 | |
| 14 | 1 | |
| 15 | 102 | |
| 16 | 9 | |
| 17 | 221 | |
| 18 | 94 | |
| 19 | 205 | |
| 20 | 481 |
About Marc R. Theoret
Marc R. Theoret is a scholar working on Oncology, Hematology and Statistics and Probability, having authored 139 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (39 papers), CAR-T cell therapy research (30 papers) and Immunotherapy and Immune Responses (22 papers). The work is most often cited by research in Oncology (4.5k citations), Immunology (2.8k citations) and Cancer Research (824 citations). Marc R. Theoret has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Richard Pazdur, Nicholas P. Restifo, Steven A. Rosenberg, Zhiya Yu, Julia A. Beaver, Kirsten B. Goldberg, Dhanalakshmi Chinnasamy, Rajeev Shrimali, Deborah R. Surman and Rajeshwari Sridhara. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.