Megan M. Davis

8.0k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Megan M. Davis is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Megan M. Davis has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 13 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Megan M. Davis's work include CAR-T cell therapy research (23 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Virus-based gene therapy research (5 papers). Megan M. Davis is often cited by papers focused on CAR-T cell therapy research (23 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Virus-based gene therapy research (5 papers). Megan M. Davis collaborates with scholars based in United States, Czechia and United Kingdom. Megan M. Davis's co-authors include Joseph A. Fraietta, Carl H. June, J. Joseph Melenhorst, Bruce L. Levine, Simon F. Lacey, Michael C. Milone, Rathna Nath, Xiaodong Ren, Gerald P. Schielke and Kevin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Megan M. Davis

28 papers receiving 1.1k citations

Hit Papers

Deletion of the inhibitor... 2023 2026 2024 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan M. Davis United States 12 804 493 288 230 218 28 1.1k
Ryan Cross Australia 14 815 1.0× 410 0.8× 436 1.5× 291 1.3× 173 0.8× 31 1.2k
Leah Alabanza United States 10 481 0.6× 244 0.5× 211 0.7× 178 0.8× 109 0.5× 16 730
Martín Bonamino Brazil 20 332 0.4× 669 1.4× 195 0.7× 90 0.4× 209 1.0× 47 1.1k
Lauren Giuffrida Australia 12 893 1.1× 379 0.8× 705 2.4× 213 0.9× 172 0.8× 14 1.3k
Ana Kostić United States 15 484 0.6× 283 0.6× 109 0.4× 184 0.8× 77 0.4× 39 990
Kristina Wikström Sweden 10 403 0.5× 260 0.5× 226 0.8× 76 0.3× 124 0.6× 22 675
Avraham J. Treves Israel 17 1.1k 1.3× 452 0.9× 913 3.2× 88 0.4× 224 1.0× 25 1.5k
Ashley Woods United States 10 210 0.3× 290 0.6× 88 0.3× 97 0.4× 62 0.3× 17 543
Anton G. Henssen Germany 18 294 0.4× 753 1.5× 86 0.3× 66 0.3× 121 0.6× 48 1.2k
Darya Alizadeh United States 13 942 1.2× 417 0.8× 514 1.8× 393 1.7× 220 1.0× 25 1.3k

Countries citing papers authored by Megan M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Megan M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan M. Davis. 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 Megan M. Davis. The network helps show where Megan M. Davis may publish in the future.

Co-authorship network of co-authors of Megan M. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Megan M. Davis. A scholar is included among the top collaborators of Megan M. Davis 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 Megan M. Davis. Megan M. Davis 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
1.
Engel, Nils W., Israel Steinfeld, Daniel Ryan, et al.. (2025). Quadruple adenine base–edited allogeneic CAR T cells outperform CRISPR/Cas9 nuclease–engineered T cells. Proceedings of the National Academy of Sciences. 122(20). e2427216122–e2427216122. 5 indexed citations
2.
Svoboda, Jakub, Daniel J. Landsburg, Sunita D. Nasta, et al.. (2024). Safety and efficacy of armored huCART19-IL18 in patients with relapsed/refractory lymphomas that progressed after anti-CD19 CAR T cells.. Journal of Clinical Oncology. 42(16_suppl). 7004–7004. 11 indexed citations
3.
Jain, Achin, Mercy Gohil, Edward Pequignot, et al.. (2024). HARNESSING POTENT NAÏVE LIKE T CELLS FOR PRECISION CAR T MANUFACTURING. Cytotherapy. 26(6). S135–S135. 1 indexed citations
4.
Jung, In-Young, Estela Noguera-Ortega, Erik F. Williams, et al.. (2023). Tissue-resident memory CAR T cells with stem-like characteristics display enhanced efficacy against solid and liquid tumors. Cell Reports Medicine. 4(6). 101053–101053. 36 indexed citations
5.
Agarwal, Sangya, M. Ángela Aznar, Andrew J. Rech, et al.. (2023). Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells. Immunity. 56(10). 2388–2407.e9. 104 indexed citations breakdown →
6.
Jung, In-Young, Vivek Narayan, Andrew J. Rech, et al.. (2022). BLIMP1 and NR4A3 transcription factors reciprocally regulate antitumor CAR T cell stemness and exhaustion. Science Translational Medicine. 14(670). eabn7336–eabn7336. 82 indexed citations
7.
Agarwal, Sangya, Tong Da, Shunichiro Kuramitsu, et al.. (2022). Abstract 5571: Disruption of cell-intrinsic checkpoint regulator CTLA-4 in CD19 directed CAR T cells provides clinical efficacy in CLL patients. Cancer Research. 82(12_Supplement). 5571–5571. 2 indexed citations
8.
Cohen, Adam D., Simon F. Lacey, Megan M. Davis, et al.. (2021). The Safety of Bridging Radiation with Anti-BCMA CAR T-Cell Therapy for Multiple Myeloma. Clinical Cancer Research. 27(23). 6580–6590. 23 indexed citations
9.
Nobles, Christopher L., Shantan Reddy, January Salas-McKee, et al.. (2019). iGUIDE: an improved pipeline for analyzing CRISPR cleavage specificity. Genome biology. 20(1). 66–78. 53 indexed citations
10.
Salas-McKee, January, Weimin Kong, Whitney L. Gladney, et al.. (2019). CRISPR/Cas9-based genome editing in the era of CAR T cell immunotherapy. Human Vaccines & Immunotherapeutics. 15(5). 1126–1132. 43 indexed citations
11.
Ghassemi, Saba, Selene Nuñez-Cruz, Roddy S. O’Connor, et al.. (2018). Reducing Ex Vivo Culture Improves the Antileukemic Activity of Chimeric Antigen Receptor (CAR) T Cells. Cancer Immunology Research. 6(9). 1100–1109. 212 indexed citations
12.
Cohen, Adam D., J. Joseph Melenhorst, Alfred L. Garfall, et al.. (2018). Predictors of T Cell Expansion and Clinical Responses Following B-Cell Maturation Antigen-Specific Chimeric Antigen Receptor T Cell Therapy (CART-BCMA) for Relapsed/Refractory Multiple Myeloma (MM). Blood. 132(Supplement 1). 1974–1974. 10 indexed citations
13.
Gill, Saar, Noelle V. Frey, Elizabeth O. Hexner, et al.. (2018). Prospective Clinical Trial of Anti-CD19 CAR T Cells in Combination with Ibrutinib for the Treatment of Chronic Lymphocytic Leukemia Shows a High Response Rate. Blood. 132(Supplement 1). 298–298. 72 indexed citations
14.
Garfall, Alfred L., Adam D. Cohen, Joseph A. Fraietta, et al.. (2018). Clinical Predictors of T Cell Fitness for CAR T Cell Manufacturing and Efficacy in Multiple Myeloma. Blood. 132(Supplement 1). 1886–1886. 22 indexed citations
15.
Long, Kristen B., Regina M. Young, Alina C. Boesteanu, et al.. (2018). CAR T Cell Therapy of Non-hematopoietic Malignancies: Detours on the Road to Clinical Success. Frontiers in Immunology. 9. 2740–2740. 62 indexed citations
16.
Davis, Megan M., David H. McKenna, & Philip J. Norris. (2017). How do i participate in T‐cell immunotherapy?. Transfusion. 57(5). 1115–1121. 1 indexed citations
17.
Davis, Megan M., Andrew D. Fesnak, Yaara Ohayon, et al.. (2017). Predictors of manufacturing (MFG) success for chimeric antigen receptor (CAR) T cells in Non-Hodgkin Lymphoma (NHL). Cytotherapy. 19(5). S118–S119. 8 indexed citations
18.
White‐Gilbertson, Shai, Megan M. Davis, Christina Voelkel‐Johnson, & Laura M. Kasman. (2016). Sex differences in the MB49 syngeneic, murine model of bladder cancer. PubMed. 3(1). 1–1. 6 indexed citations
19.
Levine, Bruce L., et al.. (2015). Personalized gene therapy locks out HIV, paving the way to control virus without antiretroviral drugs. Expert Opinion on Biological Therapy. 15(6). 831–843. 4 indexed citations
20.
Nath, Rathna, Megan M. Davis, Albert W. Probert, et al.. (2000). Processing of cdk5 Activator p35 to Its Truncated Form (p25) by Calpain in Acutely Injured Neuronal Cells. Biochemical and Biophysical Research Communications. 274(1). 16–21. 140 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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