Melody Smith

3.1k total citations · 2 hit papers
39 papers, 1.1k citations indexed

About

Melody Smith is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Melody Smith has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 13 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Melody Smith's work include CAR-T cell therapy research (18 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (6 papers). Melody Smith is often cited by papers focused on CAR-T cell therapy research (18 papers), Immunotherapy and Immune Responses (6 papers) and Immune Cell Function and Interaction (6 papers). Melody Smith collaborates with scholars based in United States, Spain and Sweden. Melody Smith's co-authors include Nirali N. Shah, Michael D. Jain, Marcel R.M. van den Brink, Jitka Fučíková, Bryan H. King, Lorenzo Galluzzi, Justin R. Cross, Madeline A. Hwee, Ansuman T. Satpathy and Kathryn E. Yost and has published in prestigious journals such as Blood, Nature Immunology and Cancer Cell.

In The Last Decade

Melody Smith

30 papers receiving 1.0k citations

Hit Papers

Impaired mitochondrial oxidative phosphorylation limits t... 2020 2026 2022 2024 2020 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melody Smith United States 15 549 487 269 88 85 39 1.1k
Ellen Moore United States 23 796 1.4× 787 1.6× 334 1.2× 64 0.7× 92 1.1× 48 1.6k
Wenhao Zhang China 16 298 0.5× 391 0.8× 288 1.1× 54 0.6× 138 1.6× 88 898
Genny Del Zotto Italy 17 1.4k 2.5× 658 1.4× 347 1.3× 54 0.6× 46 0.5× 39 1.8k
Louise Smith Australia 17 410 0.7× 330 0.7× 276 1.0× 20 0.2× 43 0.5× 24 933
Francesca Del Bufalo Italy 20 269 0.5× 478 1.0× 330 1.2× 163 1.9× 54 0.6× 78 1.2k
Mary Dunn United States 14 531 1.0× 519 1.1× 200 0.7× 35 0.4× 20 0.2× 25 1.1k
Hai Cheng China 18 268 0.5× 485 1.0× 345 1.3× 118 1.3× 58 0.7× 88 1.2k
Rik Janssens Belgium 14 451 0.8× 430 0.9× 277 1.0× 16 0.2× 34 0.4× 22 1.0k

Countries citing papers authored by Melody Smith

Since Specialization
Citations

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

Fields of papers citing papers by Melody Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melody Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Melody Smith. A scholar is included among the top collaborators of Melody Smith 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 Melody Smith. Melody Smith 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.
Sahaf, Bita, Lekha Mikkilineni, Sebastian Fernandez‐Pol, et al.. (2025). Fatal recurrence of IEC-HS after autologous stem cell boost in patients receiving BCMA-CAR T-cell therapy. Blood Advances. 9(15). 3832–3836.
2.
Serody, Jonathan S., Paul M. Armistead, Gianpietro Dotti, et al.. (2025). Infectious Complications Following CD30 Chimeric Antigen Receptor T-cell Therapy in Adults. Open Forum Infectious Diseases. 12(9). ofaf541–ofaf541.
3.
Dai, Zhenyu & Melody Smith. (2025). Epigenetic enhancement of adoptive T cell immunotherapy. Cancer Cell. 43(3). 340–342.
4.
Warsame, Rahma, Melody Smith, Arturo Molina, et al.. (2024). American Society of Hematology: building a comprehensive minority recruitment and retention professional program. Blood Advances. 8(24). 6237–6247. 1 indexed citations
5.
Shen, Yang, Melody Smith, John M. Louis, & Ad Bax. (2024). Alpha-helices as alignment reporters in residual dipolar coupling analysis of proteins. Journal of Biomolecular NMR. 79(1). 47–57.
6.
Nie, Esther H., Yi‐Jiun Su, John H. Baird, et al.. (2024). Clinical features of neurotoxicity after CD19 CAR T-cell therapy in mantle cell lymphoma. Blood Advances. 8(6). 1474–1486. 6 indexed citations
7.
Sharma, Akshay, Agnieszka Czechowicz, Melissa Mavers, et al.. (2024). Recruitment and Retention of Hematopoietic Cell Transplantation and Cellular Therapy Physicians: A Report from the ASTCT Talent Acquisition Task Force. Transplantation and Cellular Therapy. 30(6). 559–564. 3 indexed citations
8.
Perna, Fabiana, Samir Parekh, Caroline Diorio, et al.. (2024). CAR T-cell toxicities: from bedside to bench, how novel toxicities inform laboratory investigations. Blood Advances. 8(16). 4348–4358. 10 indexed citations
9.
Spiegel, Jay Y., Jean Oak, Anmol Goyal, et al.. (2024). CD19 Antigen Density Down-Regulation at Time of Progression in Large B-Cell Lymphoma Patients Treated with Axicabtagene Ciloleucel. Transplantation and Cellular Therapy. 30(2). S204–S204.
10.
Messina, Julia A., Jennifer L. Saullo, Tessa M. Andermann, et al.. (2023). 2708. Infectious Complications Among CD19 Chimeric Antigen Receptor T-cell Recipients. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
11.
Jain, Michael D., Melody Smith, & Nirali N. Shah. (2023). How I Treat Refractory CRS and ICANS Following CAR T-cell Therapy. Blood. 141(20). 2430–2442. 94 indexed citations breakdown →
14.
Su, Yi‐Jiun, Mark Hamilton, Neha Agarwal, et al.. (2023). Post-CAR-T Minimal Residual Disease (MRD) Monitoring in Mantle Cell Lymphoma Enables Early Relapse Detection. Blood. 142(Supplement 1). 1673–1673. 1 indexed citations
15.
Smith, Melody, et al.. (2022). Custom CARs: Leveraging the Adaptability of Allogeneic CAR Therapies to Address Current Challenges in Relapsed/Refractory DLBCL. Frontiers in Immunology. 13. 887866–887866. 10 indexed citations
16.
Vardhana, Santosha A., Madeline A. Hwee, Mirela Berisa, et al.. (2020). Impaired mitochondrial oxidative phosphorylation limits the self-renewal of T cells exposed to persistent antigen. Nature Immunology. 21(9). 1022–1033. 343 indexed citations breakdown →
17.
Scordo, Michael, Valkal Bhatt, Patrick Hilden, et al.. (2019). Standard Antithymocyte Globulin Dosing Results in Poorer Outcomes in Overexposed Patients after Ex Vivo CD34+ Selected Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 25(8). 1526–1535. 17 indexed citations
18.
Landau, Heather, Melody Smith, Joanne F. Chou, et al.. (2016). Long-term event-free and overall survival after risk-adapted melphalan and SCT for systemic light chain amyloidosis. Leukemia. 31(1). 136–142. 43 indexed citations
19.
Melenhorst, J. Joseph, Phillip Scheinberg, Ann Williams, et al.. (2011). Alloreactivity Across HLA Barriers Is Mediated by Both Naïve and Antigen-Experienced T Cells. Biology of Blood and Marrow Transplantation. 17(6). 800–809. 25 indexed citations
20.
Smith, Melody. (1997). Oncogenic mutations in ras create HLA-A2.1 binding peptides but affect their extracellular antigen processing. International Immunology. 9(8). 1085–1093. 8 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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