Megan S. McAfee

1.0k total citations
12 papers, 315 citations indexed

About

Megan S. McAfee is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Megan S. McAfee has authored 12 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Megan S. McAfee's work include CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers) and Virus-based gene therapy research (3 papers). Megan S. McAfee is often cited by papers focused on CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (4 papers) and Virus-based gene therapy research (3 papers). Megan S. McAfee collaborates with scholars based in United States, South Africa and Switzerland. Megan S. McAfee's co-authors include Joseph N. Blattman, Pooja Hingorani, Jeffrey Jacobsen, Susan Holechek, Danielle M. Lussier, Paul S. Dickman, Aude G. Chapuis, Matyas Ecsedi, Ingunn M. Stromnes and Philip D. Greenberg and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Megan S. McAfee

12 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan S. McAfee United States 7 200 177 90 66 33 12 315
Ben Wylie Australia 11 167 0.8× 261 1.5× 101 1.1× 39 0.6× 14 0.4× 18 379
Chungyong Han South Korea 11 138 0.7× 166 0.9× 107 1.2× 36 0.5× 16 0.5× 20 309
Fred Kolling United States 9 119 0.6× 158 0.9× 100 1.1× 47 0.7× 18 0.5× 27 315
Miao-La Ke China 10 266 1.3× 249 1.4× 145 1.6× 33 0.5× 48 1.5× 11 476
Meredith Slota United States 7 261 1.3× 311 1.8× 144 1.6× 22 0.3× 25 0.8× 16 436
Álvaro Sánchez-Arráez Spain 4 168 0.8× 224 1.3× 76 0.8× 33 0.5× 20 0.6× 5 308
Ryohei Nishino Japan 4 114 0.6× 125 0.7× 134 1.5× 62 0.9× 44 1.3× 12 354
Matthew Adamow United States 7 350 1.8× 398 2.2× 127 1.4× 31 0.5× 27 0.8× 12 525
Lynette Henkel Germany 7 253 1.3× 320 1.8× 159 1.8× 40 0.6× 47 1.4× 8 517
Olga Maksimovic Germany 7 98 0.5× 146 0.8× 180 2.0× 37 0.6× 57 1.7× 13 316

Countries citing papers authored by Megan S. McAfee

Since Specialization
Citations

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

Fields of papers citing papers by Megan S. McAfee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan S. McAfee

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

All Works

12 of 12 papers shown
1.
2.
Ecsedi, Matyas, Megan S. McAfee, & Aude G. Chapuis. (2020). The Anticancer Potential of T Cell Receptor-Engineered T Cells. Trends in cancer. 7(1). 48–56. 28 indexed citations
3.
Wright, Jocelyn H., Stephanie Weaver, Megan S. McAfee, et al.. (2020). Detection of engineered T cells in FFPE tissue by multiplex in situ hybridization and immunohistochemistry. Journal of Immunological Methods. 492. 112955–112955. 3 indexed citations
4.
Schmitt, Thomas M., et al.. (2018). Abstract A51: High-throughput method identifies rare, high-affinity, thymus-vetted T cell receptors (TCRs) for clinical translation. Cancer Immunology Research. 6(9_Supplement). A51–A51. 1 indexed citations
5.
Paulson, Kelly G., Maurizio Perdicchio, Rima M. Kulikauskas, et al.. (2017). Augmentation of adoptive T-cell therapy for Merkel cell carcinoma with avelumab.. Journal of Clinical Oncology. 35(15_suppl). 3044–3044. 9 indexed citations
6.
Chapuis, Aude G., Daniel Egan, Merav Bar, et al.. (2016). EBV-Specific Donor Cells Transduced to Express a High-Affinity WT1 TCR Can Prevent Recurrence in Post-HCT Patients with High-Risk AML. Blood. 128(22). 1001–1001. 6 indexed citations
7.
Holechek, Susan, et al.. (2016). Retinaldehyde dehydrogenase 2 as a molecular adjuvant for enhancement of mucosal immunity during DNA vaccination. Vaccine. 34(46). 5629–5635. 5 indexed citations
8.
Lussier, Danielle M., Megan S. McAfee, Susan Holechek, et al.. (2015). Enhanced T-Cell Immunity to Osteosarcoma Through Antibody Blockade of PD-1/PD-L1 Interactions. Journal of Immunotherapy. 38(3). 96–106. 165 indexed citations
9.
McAfee, Megan S., Trung Huynh, John L. Johnson, Bertram L. Jacobs, & Joseph N. Blattman. (2015). Interaction between unrelated viruses during in vivo co-infection to limit pathology and immunity. Virology. 484. 153–162. 9 indexed citations
10.
Lussier, Danielle M., et al.. (2013). Enhancement of T cell immunity to osteosarcoma through modulation of PD-1/PD-L1 interactions. Journal for ImmunoTherapy of Cancer. 1(S1). 2 indexed citations
11.
12.
Johnson, Philip L., Megan S. McAfee, Ingunn M. Stromnes, et al.. (2011). Vaccination Alters the Balance between Protective Immunity, Exhaustion, Escape, and Death in Chronic Infections. Journal of Virology. 85(11). 5565–5570. 30 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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