Rebecca C. Larson
- Oncology top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Biomedical Engineering top 5%
- Genetics top 5%
- Co-authors
- Marcela V. MausTerence H. RabbittsA. FörsterPaul C. NathanAmanda A. BouffardGeorge G. IgnotzW. B. CurrieAndrea Schmidts
- Topics
- CAR-T cell therapy research (28 papers)Immune Cell Function and Interaction (7 papers)CRISPR and Genetic Engineering (7 papers)
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Rebecca C. Larson
37 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Oncology 1.9k
- Molecular Biology 1.3k
- Immunology 947
- Biomedical Engineering 679
- Genetics 630
Countries citing papers authored by Rebecca C. Larson
This map shows the geographic impact of Rebecca C. Larson'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 Rebecca C. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca C. Larson more than expected).
Fields of papers citing papers by Rebecca C. Larson
This network shows the impact of papers produced by Rebecca C. Larson. 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 Rebecca C. Larson. The network helps show where Rebecca C. Larson may publish in the future.
Co-authorship network of co-authors of Rebecca C. Larson
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca C. Larson. A scholar is included among the top collaborators of Rebecca C. Larson 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 Rebecca C. Larson. Rebecca C. Larson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | CAR T cell killing requires the IFNγR pathway in solid but not liquid tumoursbreakdown → | 225 |
| 8 | 73 | |
| 9 | 88 | |
| 10 | 1 | |
| 11 | 180 | |
| 12 | Recent advances and discoveries in the mechanisms and functions of CAR T cellsbreakdown → | 553 |
| 13 | 18 | |
| 14 | 62 | |
| 15 | 85 | |
| 16 | CAR-T cells secreting BiTEs circumvent antigen escape without detectable toxicitybreakdown → | 426 |
| 17 | 104 | |
| 18 | 228 | |
| 19 | 173 | |
| 20 | 114 |
About Rebecca C. Larson
Rebecca C. Larson is a scholar working on Oncology, Immunology and Hematology, having authored 38 papers that have together received 3.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (28 papers), Immune Cell Function and Interaction (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (947 citations) and Genetics (630 citations). Rebecca C. Larson has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Marcela V. Maus, Terence H. Rabbitts, A. Förster, Paul C. Nathan, Amanda A. Bouffard, George G. Ignotz, W. B. Currie, Andrea Schmidts, Irene Scarfò and Stefanie R. Bailey. Their work appears in journals such as Nature, Nature Communications and Nature Genetics.
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.