Rachel C. Lynn
- Oncology top 1%
- Immunology top 2%
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Genetics top 5%
- Co-authors
- Mathilde PoussinDaniel J. PowellElena SotilloCrystal L. MackallEvan W. WeberJohn LattinBen YoungbloodAnjana Rao
- Topics
- CAR-T cell therapy research (18 papers)Immune Cell Function and Interaction (10 papers)Virus-based gene therapy research (7 papers)
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesJapanItaly
In The Last Decade
Rachel C. Lynn
26 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Oncology 2.4k
- Immunology 1.4k
- Molecular Biology 938
- Biomedical Engineering 698
- Genetics 634
Countries citing papers authored by Rachel C. Lynn
This map shows the geographic impact of Rachel C. Lynn'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 Rachel C. Lynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel C. Lynn more than expected).
Fields of papers citing papers by Rachel C. Lynn
This network shows the impact of papers produced by Rachel C. Lynn. 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 Rachel C. Lynn. The network helps show where Rachel C. Lynn may publish in the future.
Co-authorship network of co-authors of Rachel C. Lynn
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel C. Lynn. A scholar is included among the top collaborators of Rachel C. Lynn 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 Rachel C. Lynn. Rachel C. Lynn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 45 | |
| 5 | CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapybreakdown → | 243 |
| 6 | Tuning the Antigen Density Requirement for CAR T-cell Activitybreakdown → | 319 |
| 7 | 6 | |
| 8 | c-Jun overexpression in CAR T cells induces exhaustion resistancebreakdown → | 514 |
| 9 | Defining ‘T cell exhaustion’breakdown → | 953 |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 99 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 34 | |
| 16 | 7 | |
| 17 | 265 | |
| 18 | 40 | |
| 19 | Psychotropic medications in palliative care | 2 |
| 20 | 63 |
About Rachel C. Lynn
Rachel C. Lynn is a scholar working on Immunology, Oncology and Genetics, having authored 30 papers that have together received 3.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (10 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Oncology (2.4k citations), Immunology (1.4k citations) and Genetics (634 citations). Rachel C. Lynn has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Mathilde Poussin, Daniel J. Powell, Elena Sotillo, Crystal L. Mackall, Evan W. Weber, John Lattin, Ben Youngblood, Anjana Rao, Patrick G. Hogan and W. Nicholas Haining. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.