Charlotte Graham

1.9k total citations
21 papers, 431 citations indexed

About

Charlotte Graham is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Charlotte Graham has authored 21 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Charlotte Graham's work include CAR-T cell therapy research (14 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Immune Cell Function and Interaction (3 papers). Charlotte Graham is often cited by papers focused on CAR-T cell therapy research (14 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Immune Cell Function and Interaction (3 papers). Charlotte Graham collaborates with scholars based in United Kingdom, United States and France. Charlotte Graham's co-authors include Reuben Benjamin, Agnieszka Jóźwik, Andrea Pepper, Marcela V. Maus, Antonio Pagliuca, Trisha R. Berger, Rebecca C. Larson, Stefanie R. Bailey, Helen J. Wall and David C. Rees and has published in prestigious journals such as Nature Communications, Blood and The Lancet Oncology.

In The Last Decade

Charlotte Graham

19 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte Graham United Kingdom 12 289 143 96 77 72 21 431
Zhen Jin China 8 177 0.6× 117 0.8× 65 0.7× 134 1.7× 24 0.3× 19 342
Anat Globerson Levin Israel 11 226 0.8× 183 1.3× 135 1.4× 104 1.4× 15 0.2× 20 370
Jessie M. Wu United Kingdom 8 238 0.8× 122 0.9× 128 1.3× 52 0.7× 21 0.3× 13 441
Tyler Hill United States 5 397 1.4× 180 1.3× 128 1.3× 147 1.9× 112 1.6× 8 489
Bindu George United States 7 417 1.4× 156 1.1× 136 1.4× 151 2.0× 25 0.3× 22 544
Stephanie Rawlings-Rhea United States 8 436 1.5× 135 0.9× 89 0.9× 153 2.0× 19 0.3× 15 486
Renée Poels Netherlands 9 517 1.8× 206 1.4× 211 2.2× 180 2.3× 80 1.1× 13 585
Ruth A. Salmon Canada 7 205 0.7× 230 1.6× 180 1.9× 43 0.6× 24 0.3× 15 473
Jastaranpreet Singh Canada 10 105 0.4× 111 0.8× 124 1.3× 153 2.0× 56 0.8× 14 402
Cassandra Stowe United Kingdom 5 170 0.6× 159 1.1× 110 1.1× 99 1.3× 56 0.8× 6 347

Countries citing papers authored by Charlotte Graham

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Graham. A scholar is included among the top collaborators of Charlotte Graham 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 Charlotte Graham. Charlotte Graham 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
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Graham, Charlotte, Roser Velasco, Ana Alarcón Tomás, et al.. (2025). Non-ICANS neurological complications after CAR T-cell therapies: recommendations from the EBMT Practice Harmonisation and Guidelines Committee. The Lancet Oncology. 26(4). e203–e213. 11 indexed citations
4.
Silva, Harrison, Marc Wehrli, Michael C. Kann, et al.. (2024). CD70 CAR T cells secreting an anti-CD33/anti-CD3 dual-targeting antibody overcome antigen heterogeneity in AML. Blood. 145(7). 720–731. 11 indexed citations
5.
Lee, Won‐Ho, Charlotte Graham, Felix Korell, et al.. (2024). Optimization of a flow cytometry test for routine monitoring of B cell maturation antigen targeted CAR in peripheral blood. Cytometry Part B Clinical Cytometry. 106(3). 162–170.
6.
Penack, Olaf, Christophe Peczynski, Daniel Wolff, et al.. (2024). Management of complications of chimeric antigen receptor T-cell therapy: a report by the European Society of Blood and Marrow Transplantation. Haematologica. 109(11). 3557–3565. 5 indexed citations
7.
Graham, Charlotte, Won‐Ho Lee, Mark B. Leick, et al.. (2023). Chemotherapy-induced reversal of ciltacabtagene autoleucel–associated movement and neurocognitive toxicity. Blood. 142(14). 1248–1252. 32 indexed citations
8.
Larson, Rebecca C., Michael C. Kann, Charlotte Graham, et al.. (2023). Anti-TACI single and dual-targeting CAR T cells overcome BCMA antigen loss in multiple myeloma. Nature Communications. 14(1). 7509–7509. 23 indexed citations
9.
Dupouy, Sandra, Ibtissam Marchiq, Maria Almena-Carrasco, et al.. (2022). Clinical Pharmacology and Determinants of Response to UCART19, an Allogeneic Anti-CD19 CAR-T Cell Product, in Adult B-cell Acute Lymphoblastic Leukemia. Cancer Research Communications. 2(11). 1520–1531. 18 indexed citations
10.
Metelo, Ana M., Agnieszka Jóźwik, Le Anh Luong, et al.. (2022). Allogeneic Anti-BCMA CAR T Cells Are Superior to Multiple Myeloma-derived CAR T Cells in Preclinical Studies and May Be Combined with Gamma Secretase Inhibitors. Cancer Research Communications. 2(3). 158–171. 17 indexed citations
11.
Graham, Charlotte, Rhoda Stefanatos, Ruth V. Spriggs, et al.. (2022). Mitochondrial ROS signalling requires uninterrupted electron flow and is lost during ageing in flies. GeroScience. 44(4). 1961–1974. 14 indexed citations
12.
Bailey, Stefanie R., Trisha R. Berger, Charlotte Graham, Rebecca C. Larson, & Marcela V. Maus. (2022). Four challenges to CAR T cells breaking the glass ceiling. European Journal of Immunology. 53(11). e2250039–e2250039. 27 indexed citations
13.
Graham, Charlotte, et al.. (2022). Transformative Education. 6 indexed citations
14.
Kaye, Linda, et al.. (2020). How emotional are emoji?: Exploring the effect of emotional valence on the processing of emoji stimuli. Computers in Human Behavior. 116. 106648–106648. 31 indexed citations
15.
Chakravorty, Subarna, et al.. (2020). COVID-19 in patients with sickle cell disease - a case series from a UK Tertiary Hospital. Haematologica. 105(11). 2691–2693. 28 indexed citations
16.
Graham, Charlotte, et al.. (2019). Erythrocytes as Biomarkers for Dementia: Analysis of Protein Content and Alpha-Synuclein. Journal of Alzheimer s Disease. 71(2). 569–580. 15 indexed citations
17.
Metelo, Ana M., Agnieszka Jóźwik, Charlotte Graham, et al.. (2019). Allogeneic Anti-Bcma CAR-T Cells Show Tumour Specific Killing Against Primary Multiple Myeloma Cells from Different Genomic Sub-Groups. Blood. 134(Supplement_1). 1834–1834. 2 indexed citations
18.
Graham, Charlotte, et al.. (2018). Cancer immunotherapy with CAR-T cells – behold the future. Clinical Medicine. 18(4). 324–328. 32 indexed citations
19.
Stölzel, Friedrich, Kirsty Cuthill, Charlotte Graham, et al.. (2018). Clonal hematopoiesis in patients with multiple myeloma undergoing autologous stem cell transplantation. Leukemia. 32(9). 2020–2024. 20 indexed citations
20.
Graham, Charlotte, Agnieszka Jóźwik, Andrea Pepper, & Reuben Benjamin. (2018). Allogeneic CAR-T Cells: More than Ease of Access?. Cells. 7(10). 155–155. 133 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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