Frederick L. Locke

31.9k total citations · 3 hit papers
307 papers, 6.0k citations indexed

About

Frederick L. Locke is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Frederick L. Locke has authored 307 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 259 papers in Oncology, 90 papers in Immunology and 69 papers in Pathology and Forensic Medicine. Recurrent topics in Frederick L. Locke's work include CAR-T cell therapy research (245 papers), Lymphoma Diagnosis and Treatment (68 papers) and Biosimilars and Bioanalytical Methods (53 papers). Frederick L. Locke is often cited by papers focused on CAR-T cell therapy research (245 papers), Lymphoma Diagnosis and Treatment (68 papers) and Biosimilars and Bioanalytical Methods (53 papers). Frederick L. Locke collaborates with scholars based in United States, France and Germany. Frederick L. Locke's co-authors include Sattva S. Neelapu, Yi Lin, Jason R. Westin, Partow Kebriaei, Katayoun Rezvani, Nitin Jain, William G. Wierda, Alison Gulbis, Sherry Adkins and Elizabeth J. Shpall and has published in prestigious journals such as Circulation, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Frederick L. Locke

274 papers receiving 5.9k citations

Hit Papers

Chimeric antigen receptor... 2017 2026 2020 2023 2017 2017 2024 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frederick L. Locke 5.2k 1.4k 1.4k 1.2k 1.2k 307 6.0k
Vanessa Gonzalez 5.0k 1.0× 1.5k 1.0× 1.8k 1.3× 719 0.6× 1.4k 1.2× 20 5.6k
Constance M. Yuan 4.2k 0.8× 1.5k 1.0× 1.7k 1.2× 591 0.5× 996 0.9× 121 5.9k
Sindhu Cherian 3.0k 0.6× 853 0.6× 834 0.6× 614 0.5× 785 0.7× 59 3.8k
Shannon L. Maude 7.7k 1.5× 2.1k 1.5× 2.5k 1.9× 1.1k 0.9× 1.9k 1.7× 107 9.2k
Craig S. Sauter 3.4k 0.7× 777 0.6× 973 0.7× 542 0.4× 689 0.6× 189 4.7k
Jason R. Westin 4.5k 0.9× 1.1k 0.8× 1.1k 0.8× 776 0.6× 751 0.6× 224 6.0k
Anne Chew 8.4k 1.6× 2.5k 1.8× 3.3k 2.4× 1.1k 0.9× 2.3k 2.0× 34 9.6k
Marco Ruella 3.2k 0.6× 1.3k 0.9× 1.3k 1.0× 385 0.3× 809 0.7× 124 4.0k
Claudia Rössig 4.4k 0.8× 1.4k 1.0× 2.4k 1.8× 355 0.3× 951 0.8× 157 5.8k
Lihua E. Budde 3.0k 0.6× 734 0.5× 917 0.7× 390 0.3× 530 0.5× 160 3.4k

Countries citing papers authored by Frederick L. Locke

Since Specialization
Citations

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

Fields of papers citing papers by Frederick L. Locke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick L. Locke. 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 Frederick L. Locke. The network helps show where Frederick L. Locke may publish in the future.

Co-authorship network of co-authors of Frederick L. Locke

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick L. Locke. A scholar is included among the top collaborators of Frederick L. Locke 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 Frederick L. Locke. Frederick L. Locke 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.
Naderinezhad, Samira, et al.. (2025). Humanin-like 8 regulates metabolic fitness and anti-apoptotic programming in CD19 CAR-T cells. Blood. 146(Supplement 1). 5906–5906.
3.
Locke, Frederick L., Zahra Mahmoudjafari, Partow Kebriaei, et al.. (2025). Awakening from REMS: ASTCT 80/20 Ongoing Recommendations for Safe Use of Chimeric Antigen Receptor T Cells. Transplantation and Cellular Therapy. 31(6). 349.e1–349.e12. 3 indexed citations
4.
Balagurunathan, Yoganand, Jin Qi, Zachary Thompson, et al.. (2024). Radiomic features of PET/CT imaging of large B cell lymphoma lesions predicts CAR T cell therapy efficacy. Frontiers in Oncology. 14. 1485039–1485039. 2 indexed citations
6.
Díaz, Juan Manuel Mancilla, Saurabh Dahiya, Maeve O’Reilly, et al.. (2024). Cohort Comparison of Therapy-Related Myeloid Neoplasms after CAR T-Cell Therapy, Autologous Stem Cell Transplant, and Standard Cancer Therapies. Blood. 144(Supplement 1). 7239–7239.
7.
Locke, Frederick L., Sattva S. Neelapu, Nancy L. Bartlett, et al.. (2024). Tocilizumab Prophylaxis Following Axicabtagene Ciloleucel in Relapsed or Refractory Large B-Cell Lymphoma. Transplantation and Cellular Therapy. 30(11). 1065–1079. 13 indexed citations
8.
Ghobadi, Armin, Javier Muñoz, Jason R. Westin, et al.. (2024). Outcomes of subsequent antilymphoma therapies after second-line axicabtagene ciloleucel or standard of care in ZUMA-7. Blood Advances. 8(11). 2982–2990. 4 indexed citations
9.
Punekar, Salman R., J. Randolph Hecht, Diane M. Simeone, et al.. (2024). EVEREST-2: A seamless phase 1/2 study of A2B694, a mesothelin (MSLN) logic-gated Tmod CAR T-cell therapy, in patients with solid tumors that show MSLN expression and human leukocyte antigen (HLA)-A*02 loss of heterozygosity (LOH).. Journal of Clinical Oncology. 42(16_suppl). TPS2699–TPS2699. 5 indexed citations
10.
Rejeski, Kai, Yucai Wang, Doris K. Hansen, et al.. (2024). Applying the EHA/EBMT grading for ICAHT after CAR-T: comparative incidence and association with infections and mortality. Blood Advances. 8(8). 1857–1868. 29 indexed citations
12.
Fernandez, Mario R., Chunying Yang, Lancia Darville, et al.. (2023). Modulating the polyamine/hypusine axis controls generation of CD8+ tissue-resident memory T cells. JCI Insight. 8(18). 15 indexed citations
14.
Rejeski, Kai, Doris K. Hansen, Yucai Wang, et al.. (2023). Applying the Novel EHA/EBMT Grading System for Icaht Following CAR-T Therapy: Comparative Incidence across Disease Entities and Association with Infections and Mortality. Blood. 142(Supplement 1). 359–359. 1 indexed citations
15.
Locke, Frederick L., et al.. (2023). Mechanisms of Resistance to Chimeric Antigen Receptor T Cell Therapy. Hematology/Oncology Clinics of North America. 37(6). 1189–1199. 2 indexed citations
16.
Choi, Jung Woo, Erin Dean, Hong Lu, et al.. (2023). Repeatability of metabolic tumor burden and lesion glycolysis between clinical readers. Frontiers in Immunology. 14. 994520–994520. 5 indexed citations
17.
Barata, Anna, Aasha I. Hoogland, Kelly A. Hyland, et al.. (2021). Patient-Reported Toxicities in Axicabtagene Ciloleucel Recipients: 1-Year Follow-up. Transplantation and Cellular Therapy. 27(3). S375–S375. 1 indexed citations
18.
Lee, Dae Hyun, Sanjay Chandrasekhar, Michael D. Jain, et al.. (2021). Abstract 9828: Active Surveillance of Cardiotoxicity with Cardiac Biomarkers During Chimeric Antigen Receptor T-Cell Therapy. Circulation. 144(Suppl_1). 2 indexed citations
19.
Perez, Ariel Perez, Christina A. Bachmeier, Aleksandr Lazaryan, et al.. (2020). Factors Affecting Lymphocyte Collection Efficiency and Manufactured Product Specification during Leukapheresis for Diffuse Large B Cell Lymphoma Patients Treated with Commercial Tisagenlecleucel. Blood. 136(Supplement 1). 4–5. 3 indexed citations
20.
Pasquini, Marcelo C., Frederick L. Locke, Alex F. Herrera, et al.. (2019). Post-Marketing Use Outcomes of an Anti-CD19 Chimeric Antigen Receptor (CAR) T Cell Therapy, Axicabtagene Ciloleucel (Axi-Cel), for the Treatment of Large B Cell Lymphoma (LBCL) in the United States (US). Blood. 134(Supplement_1). 764–764. 72 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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