Lynne Marsala

915 total citations
9 papers, 187 citations indexed

About

Lynne Marsala is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Lynne Marsala has authored 9 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Lynne Marsala's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers) and CAR-T cell therapy research (4 papers). Lynne Marsala is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers) and CAR-T cell therapy research (4 papers). Lynne Marsala collaborates with scholars based in United States and Japan. Lynne Marsala's co-authors include Samuel Achilefu, Pamela Wong, Melissa M. Berrien-Elliott, Todd A. Fehniger, Timothy Schappe, Nancy D. Marín, Jaebok Choi, Matthew Cooper, Kiran Vij and Ikuo Tsunoda and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Research.

In The Last Decade

Lynne Marsala

9 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynne Marsala United States 6 141 62 50 23 15 9 187
Yusuke Meguri Japan 9 186 1.3× 112 1.8× 81 1.6× 27 1.2× 25 1.7× 32 285
Leah Gehrs United States 7 90 0.6× 94 1.5× 99 2.0× 37 1.6× 23 1.5× 17 194
Kelly Walton United States 7 129 0.9× 93 1.5× 76 1.5× 56 2.4× 22 1.5× 14 238
Janine Melsen Netherlands 7 271 1.9× 61 1.0× 26 0.5× 49 2.1× 9 0.6× 11 324
Soley Thordardottir Netherlands 9 183 1.3× 138 2.2× 51 1.0× 70 3.0× 10 0.7× 10 271
Jules Russick France 6 72 0.5× 42 0.7× 27 0.5× 32 1.4× 7 0.5× 10 142
Katelyn Paz United States 7 140 1.0× 33 0.5× 91 1.8× 41 1.8× 16 1.1× 10 203
Juliane K. Lohmeyer United States 8 173 1.2× 114 1.8× 26 0.5× 30 1.3× 6 0.4× 15 225
Daniel Velez United States 6 90 0.6× 106 1.7× 32 0.6× 13 0.6× 12 0.8× 12 173
Kirstie L.S. Cleary United Kingdom 7 120 0.9× 84 1.4× 30 0.6× 58 2.5× 22 1.5× 11 213

Countries citing papers authored by Lynne Marsala

Since Specialization
Citations

This map shows the geographic impact of Lynne Marsala'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 Lynne Marsala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynne Marsala more than expected).

Fields of papers citing papers by Lynne Marsala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynne Marsala. 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 Lynne Marsala. The network helps show where Lynne Marsala may publish in the future.

Co-authorship network of co-authors of Lynne Marsala

This figure shows the co-authorship network connecting the top 25 collaborators of Lynne Marsala. A scholar is included among the top collaborators of Lynne Marsala 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 Lynne Marsala. Lynne Marsala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cubitt, Celia C., Pamela Wong, Jennifer A. Foltz, et al.. (2024). Induced CD8α identifies human NK cells with enhanced proliferative fitness and modulates NK cell activation. Journal of Clinical Investigation. 134(15). 3 indexed citations
2.
Kim, Sena, Boram Kim, Julie Ritchey, et al.. (2022). S100A9 upregulated by IFNGR signaling blockade functions as a novel GVHD suppressor without compromising GVL in mice. Blood. 141(8). 945–950. 1 indexed citations
3.
Cubitt, Celia C., Ethan McClain, Michelle Becker‐Hapak, et al.. (2022). A novel fusion protein scaffold 18/12/TxM activates the IL-12, IL-15, and IL-18 receptors to induce human memory-like natural killer cells. Molecular Therapy — Oncolytics. 24. 585–596. 8 indexed citations
4.
Marín, Nancy D., Bradley A. Krasnick, Michelle Becker‐Hapak, et al.. (2021). Memory-like Differentiation Enhances NK Cell Responses to Melanoma. Clinical Cancer Research. 27(17). 4859–4869. 44 indexed citations
5.
Zheleznyak, Alexander, Lynne Marsala, Julie L. Prior, et al.. (2021). Orthogonal targeting of osteoclasts and myeloma cells for radionuclide stimulated dynamic therapy induces multidimensional cell death pathways. Theranostics. 11(16). 7735–7754. 8 indexed citations
6.
Wagner, Julia A., Pamela Wong, Timothy Schappe, et al.. (2020). Stage-Specific Requirement for Eomes in Mature NK Cell Homeostasis and Cytotoxicity. Cell Reports. 31(9). 107720–107720. 46 indexed citations
8.
Marín, Nancy D., Michelle Becker‐Hapak, Joachim Koch, et al.. (2019). Abstract 1546: The CD30/CD16A bispecific innate immune cell engager AFM13 elicits heterogeneous single-cell NK cell responses and effectively triggers memory-like (ML) NK cells. Cancer Research. 79(13_Supplement). 1546–1546. 1 indexed citations
9.
Choi, Jaebok, Matthew Cooper, Karl Staser, et al.. (2018). Baricitinib-induced blockade of interferon gamma receptor and interleukin-6 receptor for the prevention and treatment of graft-versus-host disease. Leukemia. 32(11). 2483–2494. 66 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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