Nathaniel Dasyam

469 total citations
8 papers, 336 citations indexed

About

Nathaniel Dasyam is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Nathaniel Dasyam has authored 8 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Nathaniel Dasyam's work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Nathaniel Dasyam is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Nathaniel Dasyam collaborates with scholars based in New Zealand, Australia and China. Nathaniel Dasyam's co-authors include Robert Weinkove, P J George, Alexander D. McLellan, Ian F. Hermans, David Ritchie, Peng Li, Chris Frampton, Travis Perera, Catherine M. Bollard and Giulia Giunti and has published in prestigious journals such as Blood, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Nathaniel Dasyam

6 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel Dasyam New Zealand 5 305 126 105 104 83 8 336
Dennis Christoph Harrer Germany 10 329 1.1× 175 1.4× 95 0.9× 139 1.3× 97 1.2× 35 403
Claudia Diamonte United States 10 322 1.1× 79 0.6× 84 0.8× 73 0.7× 108 1.3× 18 353
Astrid Holzinger Germany 10 341 1.1× 154 1.2× 99 0.9× 132 1.3× 111 1.3× 13 393
Minnal Gupta United States 7 255 0.8× 84 0.7× 73 0.7× 97 0.9× 114 1.4× 9 309
Evangelia Kokalaki United Kingdom 4 308 1.0× 90 0.7× 128 1.2× 133 1.3× 114 1.4× 8 339
Rashmika Patel United States 8 339 1.1× 118 0.9× 120 1.1× 134 1.3× 77 0.9× 14 404
Xia Han United States 4 269 0.9× 64 0.5× 64 0.6× 121 1.2× 69 0.8× 8 312
Zhuojun Ling China 9 310 1.0× 78 0.6× 76 0.7× 64 0.6× 100 1.2× 20 332
Nicholas Tokarew Germany 4 356 1.2× 134 1.1× 145 1.4× 116 1.1× 92 1.1× 6 386
Earle O. Assanah United States 2 322 1.1× 128 1.0× 123 1.2× 54 0.5× 95 1.1× 2 349

Countries citing papers authored by Nathaniel Dasyam

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Dasyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Dasyam

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

All Works

8 of 8 papers shown
1.
Dasyam, Nathaniel, Claire Turner, Alfonso Schmidt, et al.. (2025). Jurkat T-cell lines exhibit marked genomic instability affecting karyotype, mutational profile, gene expression, immunophenotype and function. Scientific Reports. 15(1). 22426–22426.
2.
Dasyam, Nathaniel, et al.. (2023). Recruiting Natural Killer T Cells to Improve Vaccination: Lessons from Preclinical and Clinical Studies. Critical Reviews™ in Oncogenesis. 29(1). 31–43.
4.
Ferrer‐Font, Laura, R. J. Anderson, Benjamin J. Compton, et al.. (2022). Intratumoural administration of an NKT cell agonist with CpG promotes NKT cell infiltration associated with an enhanced antitumour response and abscopal effect. OncoImmunology. 11(1). 2081009–2081009. 6 indexed citations
5.
Collings, Sunny, Nathaniel Dasyam, John N. Nacey, et al.. (2021). Mucosal-Associated Invariant T (MAIT) Cell Dysfunction and PD-1 Expression in Prostate Cancer: Implications for Immunotherapy. Frontiers in Immunology. 12. 748741–748741. 13 indexed citations
6.
George, P J, Nathaniel Dasyam, Giulia Giunti, et al.. (2020). Third-generation anti-CD19 chimeric antigen receptor T-cells incorporating a TLR2 domain for relapsed or refractory B-cell lymphoma: a phase I clinical trial protocol (ENABLE). BMJ Open. 10(2). e034629–e034629. 41 indexed citations
7.
Dasyam, Nathaniel, P J George, & Robert Weinkove. (2020). Chimeric antigen receptor T‐cell therapies: Optimising the dose. British Journal of Clinical Pharmacology. 86(9). 1678–1689. 32 indexed citations
8.
Weinkove, Robert, P J George, Nathaniel Dasyam, & Alexander D. McLellan. (2019). Selecting costimulatory domains for chimeric antigen receptors: functional and clinical considerations. Clinical & Translational Immunology. 8(5). e1049–e1049. 240 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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