Rachel C. Lynn

5.9k total citations · 4 hit papers
30 papers, 3.2k citations indexed

About

Rachel C. Lynn is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Rachel C. Lynn has authored 30 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 15 papers in Immunology and 8 papers in Genetics. Recurrent topics in Rachel C. Lynn's work include CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (10 papers) and Virus-based gene therapy research (7 papers). Rachel C. Lynn is often cited by papers focused on CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (10 papers) and Virus-based gene therapy research (7 papers). Rachel C. Lynn collaborates with scholars based in United States, Japan and Italy. Rachel C. Lynn's co-authors include Mathilde Poussin, Daniel J. Powell, Elena Sotillo, Crystal L. Mackall, Evan W. Weber, John Lattin, Anjana Rao, Andrea Schietinger, Christian U. Blank and Werner Held and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Rachel C. Lynn

26 papers receiving 3.1k citations

Hit Papers

Defining ‘T cell exhaustion’ 2019 2026 2021 2023 2019 2019 2020 2021 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rachel C. Lynn United States 16 2.4k 1.4k 938 698 634 30 3.2k
Renate Starr United States 19 2.5k 1.1× 1.2k 0.8× 867 0.9× 991 1.4× 629 1.0× 45 3.2k
Eric Yvon United States 28 2.6k 1.1× 1.8k 1.3× 900 1.0× 698 1.0× 867 1.4× 49 3.6k
Christopher C. Kloss United States 11 2.2k 0.9× 925 0.6× 932 1.0× 820 1.2× 679 1.1× 15 2.6k
Valentina Hoyos United States 19 2.1k 0.9× 1.0k 0.7× 838 0.9× 667 1.0× 782 1.2× 35 2.6k
Brenda Aguilar United States 19 2.1k 0.9× 1.0k 0.7× 728 0.8× 750 1.1× 585 0.9× 40 2.7k
Sarwish Rafiq United States 15 2.2k 0.9× 1.1k 0.8× 916 1.0× 767 1.1× 537 0.8× 34 2.8k
Liza B. John Australia 16 1.7k 0.7× 1.2k 0.9× 612 0.7× 389 0.6× 399 0.6× 27 2.4k
Avery D. Posey United States 26 3.0k 1.3× 1.4k 1.0× 1.5k 1.6× 1.1k 1.6× 868 1.4× 48 3.9k
Rebecca C. Larson United States 19 1.9k 0.8× 947 0.7× 1.3k 1.4× 679 1.0× 630 1.0× 38 3.1k
Jorge Mansilla‐Soto United States 17 2.1k 0.9× 1.0k 0.7× 1.6k 1.7× 695 1.0× 873 1.4× 33 3.4k

Countries citing papers authored by Rachel C. Lynn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Li, Aileen W., Meritxell Galindo Casas, Jessica Barragan, et al.. (2023). 278 Preclinical development of LYL119, a ROR1-targeted CAR T-cell product incorporating four novel T-cell reprogramming technologies to overcome barriers to effective cell therapy for solid tumors. SHILAP Revista de lepidopterología. A318–A319. 1 indexed citations
3.
Lynn, Rachel C., et al.. (2023). Specialization of integral closure of ideals by general elements. Proceedings of the American Mathematical Society.
4.
Gennert, David, Rachel C. Lynn, Evan Weber, et al.. (2021). Dynamic chromatin regulatory landscape of human CAR T cell exhaustion. Proceedings of the National Academy of Sciences. 118(30). 45 indexed citations
5.
Rodríguez-García, Alba, Rachel C. Lynn, Mathilde Poussin, et al.. (2021). CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy. Nature Communications. 12(1). 877–877. 243 indexed citations breakdown →
6.
Majzner, Robbie G., Skyler P. Rietberg, Elena Sotillo, et al.. (2020). Tuning the Antigen Density Requirement for CAR T-cell Activity. Cancer Discovery. 10(5). 702–723. 319 indexed citations breakdown →
7.
Habib, Muhammad Ahsanul & Rachel C. Lynn. (2020). Planning for Connected, Autonomous and Shared Mobility: A Synopsis of Practitioners’ Perspectives. Procedia Computer Science. 170. 419–426. 6 indexed citations
8.
Lynn, Rachel C., Evan W. Weber, Elena Sotillo, et al.. (2019). c-Jun overexpression in CAR T cells induces exhaustion resistance. Nature. 576(7786). 293–300. 514 indexed citations breakdown →
9.
Blank, Christian U., W. Nicholas Haining, Werner Held, et al.. (2019). Defining ‘T cell exhaustion’. Nature reviews. Immunology. 19(11). 665–674. 953 indexed citations breakdown →
10.
Majzner, Robbie G., Skyler P. Rietberg, Louai Labanieh, et al.. (2018). Low CD19 Antigen Density Diminishes Efficacy of CD19 CAR T Cells and Can be Overcome By Rational Redesign of CAR Signaling Domains. Blood. 132(Supplement 1). 963–963. 7 indexed citations
11.
Lynn, Rachel C., Yang Feng, Keith Schutsky, et al.. (2016). High-affinity FRβ-specific CAR T cells eradicate AML and normal myeloid lineage without HSC toxicity. Leukemia. 30(6). 1355–1364. 99 indexed citations
12.
Lynn, Rachel C., et al.. (2015). Multistrain Infections in Metapopulations. ISU Red - Research and eData (Illinois State University). 1(1).
13.
Lynn, Rachel C., Takami Matsuyama, & Daniel J. Powell. (2015). Targeting FRβ+ tumor associated macrophages with car T cells in ovarian cancer. Journal for ImmunoTherapy of Cancer. 3(S2). 4 indexed citations
14.
Urbańska, Katarzyna, Rachel C. Lynn, Caitlin Stashwick, et al.. (2014). Targeted cancer immunotherapy via combination of designer bispecific antibody and novel gene-engineered T cells. Journal of Translational Medicine. 12(1). 347–347. 34 indexed citations
15.
Cooke, Liz, et al.. (2013). What Do I Say? Suicide Assessment and Management. Clinical journal of oncology nursing. 17(1). E1–E7. 7 indexed citations
16.
Urbańska, Katarzyna, Evripidis Lanitis, Mathilde Poussin, et al.. (2012). A Universal Strategy for Adoptive Immunotherapy of Cancer through Use of a Novel T-cell Antigen Receptor. Cancer Research. 72(7). 1844–1852. 265 indexed citations
17.
Lee, Michael H., et al.. (2012). Tissue Exit: a Novel Control Point in the Accumulation of Antigen-Specific CD8 T Cells in the Influenza A Virus-Infected Lung. Journal of Virology. 86(16). 8918–8918. 1 indexed citations
18.
Wang, Liang‐Chuan S., Rachel C. Lynn, Guanjun Cheng, et al.. (2011). Treating Tumors With a Vaccinia Virus Expressing IFNβ Illustrates the Complex Relationships Between Oncolytic Ability and Immunogenicity. Molecular Therapy. 20(4). 736–748. 40 indexed citations
19.
García, Carla, Rachel C. Lynn, & William Breitbart. (2009). Psychotropic medications in palliative care. 16(5). 25–32. 2 indexed citations
20.
Lee, Chi Wai, Jianzhong Han, James R. Bamburg, et al.. (2009). Regulation of acetylcholine receptor clustering by ADF/cofilin-directed vesicular trafficking. Nature Neuroscience. 12(7). 848–856. 63 indexed citations

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.

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