Timothy T. Spear

528 total citations
18 papers, 354 citations indexed

About

Timothy T. Spear is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Timothy T. Spear has authored 18 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 10 papers in Immunology and 6 papers in Genetics. Recurrent topics in Timothy T. Spear's work include CAR-T cell therapy research (10 papers), Virus-based gene therapy research (6 papers) and Immune Cell Function and Interaction (6 papers). Timothy T. Spear is often cited by papers focused on CAR-T cell therapy research (10 papers), Virus-based gene therapy research (6 papers) and Immune Cell Function and Interaction (6 papers). Timothy T. Spear collaborates with scholars based in United States and Japan. Timothy T. Spear's co-authors include Michael I. Nishimura, Brian M. Baker, Kaoru Nagato, Lance M. Hellman, Timothy P. Riley, Elizabeth Garrett‐Mayer, Sydney J. Blevins, Yuan Wang, Nishant K. Singh and Patricia Simms and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Timothy T. Spear

17 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy T. Spear United States 10 240 194 107 66 60 18 354
Nicholas J. Pumphrey United Kingdom 8 292 1.2× 204 1.1× 120 1.1× 46 0.7× 32 0.5× 15 416
John Zielinski United States 4 236 1.0× 134 0.7× 177 1.7× 37 0.6× 64 1.1× 5 360
Nathaniel Liddy United Kingdom 8 315 1.3× 248 1.3× 95 0.9× 69 1.0× 52 0.9× 11 391
Belén Palencia Spain 9 205 0.9× 161 0.8× 92 0.9× 17 0.3× 43 0.7× 14 296
Nishant K. Singh United States 10 237 1.0× 183 0.9× 173 1.6× 139 2.1× 29 0.5× 15 377
Jo Soden United States 9 88 0.4× 111 0.6× 117 1.1× 64 1.0× 26 0.4× 10 263
Taylor Kalomeris United States 5 131 0.5× 178 0.9× 186 1.7× 75 1.1× 31 0.5× 12 399
Masaki Irie Japan 8 304 1.3× 212 1.1× 181 1.7× 18 0.3× 75 1.3× 8 427
Alok V. Joglekar United States 7 244 1.0× 156 0.8× 156 1.5× 73 1.1× 31 0.5× 8 344
Jim Middelburg Netherlands 8 143 0.6× 179 0.9× 70 0.7× 77 1.2× 30 0.5× 13 308

Countries citing papers authored by Timothy T. Spear

Since Specialization
Citations

This map shows the geographic impact of Timothy T. Spear'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 Timothy T. Spear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy T. Spear more than expected).

Fields of papers citing papers by Timothy T. Spear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy T. Spear. 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 Timothy T. Spear. The network helps show where Timothy T. Spear may publish in the future.

Co-authorship network of co-authors of Timothy T. Spear

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

All Works

18 of 18 papers shown
1.
Roth, Sydney L., Whitney L. Gladney, David Groff, et al.. (2025). D3-GPC2–Directed CAR T Cells Are Safe and Efficacious in Preclinical Models of Neuroblastoma and Small Cell Lung Cancer. Clinical Cancer Research. 31(24). 5276–5293.
2.
Roth, Sydney L., Minu Samanta, Guillem Pascual‐Pasto, et al.. (2025). Reprogramming the neuroblastoma tumor immune microenvironment to enhance GPC2 CAR T cells. Molecular Therapy. 33(9). 4552–4569. 3 indexed citations
3.
Spear, Timothy T., David Groff, Kristopher R. Bosse, et al.. (2024). Abstract 5121: Next-generation immunocompetent and humanized neuroblastoma murine models for the discovery and validation of novel immunotherapies. Cancer Research. 84(6_Supplement). 5121–5121. 1 indexed citations
4.
Cherkasova, Elena, Timothy T. Spear, Gina Scurti, et al.. (2024). Regression of renal cell carcinoma by T cell receptor-engineered T cells targeting a human endogenous retrovirus. Journal for ImmunoTherapy of Cancer. 12(9). e009147–e009147. 5 indexed citations
5.
Cherkasova, Elena, Rosa Nadal, Long Chen, et al.. (2023). T cell receptor-engineered T cells targeting a human endogenous retrovirus in kidney cancer.. Journal of Clinical Oncology. 41(16_suppl). 4542–4542. 2 indexed citations
6.
7.
Spear, Timothy T., Brian D. Evavold, Brian M. Baker, & Michael I. Nishimura. (2019). Understanding TCR affinity, antigen specificity, and cross-reactivity to improve TCR gene-modified T cells for cancer immunotherapy. Cancer Immunology Immunotherapy. 68(11). 1881–1889. 32 indexed citations
8.
Spear, Timothy T., Yuan Wang, Thomas W. Smith, et al.. (2018). Altered Peptide Ligands Impact the Diversity of Polyfunctional Phenotypes in T Cell Receptor Gene-Modified T Cells. Molecular Therapy. 26(4). 996–1007. 9 indexed citations
9.
Spear, Timothy T., et al.. (2018). TCR modifications that enhance chain pairing in gene-modified T cells can augment cross-reactivity and alleviate CD8 dependence. Journal of Leukocyte Biology. 103(5). 973–983. 10 indexed citations
10.
Spear, Timothy T., Michael I. Nishimura, & Patricia Simms. (2017). Comparative exploration of multidimensional flow cytometry software: a model approach evaluating T cell polyfunctional behavior. Journal of Leukocyte Biology. 102(2). 551–561. 6 indexed citations
11.
Wang, Yuan, Nishant K. Singh, Timothy T. Spear, et al.. (2017). How an alloreactive T-cell receptor achieves peptide and MHC specificity. Proceedings of the National Academy of Sciences. 114(24). E4792–E4801. 43 indexed citations
12.
Spear, Timothy T., Yuan Wang, David C. Murray, et al.. (2017). Critical biological parameters modulate affinity as a determinant of function in T-cell receptor gene-modified T-cells. Cancer Immunology Immunotherapy. 66(11). 1411–1424. 15 indexed citations
13.
Spear, Timothy T., et al.. (2017). HCV T Cell Receptor Chain Modifications to Enhance Expression, Pairing, and Antigen Recognition in T Cells for Adoptive Transfer. Molecular Therapy — Oncolytics. 5. 105–115. 16 indexed citations
14.
Spear, Timothy T., Glenda G. Callender, J. Roszkowski, et al.. (2016). TCR gene-modified T cells can efficiently treat established hepatitis C-associated hepatocellular carcinoma tumors. Cancer Immunology Immunotherapy. 65(3). 293–304. 45 indexed citations
15.
Spear, Timothy T., Kaoru Nagato, & Michael I. Nishimura. (2016). Strategies to genetically engineer T cells for cancer immunotherapy. Cancer Immunology Immunotherapy. 65(6). 631–649. 48 indexed citations
16.
Hellman, Lance M., Liusong Yin, Sydney J. Blevins, et al.. (2016). Differential scanning fluorimetry based assessments of the thermal and kinetic stability of peptide–MHC complexes. Journal of Immunological Methods. 432. 95–101. 55 indexed citations
17.
Blevins, Sydney J., Brian G. Pierce, Nishant K. Singh, et al.. (2016). How structural adaptability exists alongside HLA-A2 bias in the human αβ TCR repertoire. Proceedings of the National Academy of Sciences. 113(9). E1276–85. 47 indexed citations
18.
Spear, Timothy T., Timothy P. Riley, Gretchen E. Lyons, et al.. (2016). Hepatitis C virus-cross-reactive TCR gene-modified T cells: a model for immunotherapy against diseases with genomic instability. Journal of Leukocyte Biology. 100(3). 545–557. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nicholas J. Pumphrey Breakdown of academic impact, for papers by John Zielinski Breakdown of academic impact, for papers by Nathaniel Liddy Breakdown of academic impact, for papers by Belén Palencia Breakdown of academic impact, for papers by Nishant K. Singh Breakdown of academic impact, for papers by Jo Soden Breakdown of academic impact, for papers by Taylor Kalomeris Breakdown of academic impact, for papers by Masaki Irie Breakdown of academic impact, for papers by Alok V. Joglekar Breakdown of academic impact, for papers by Jim Middelburg
Rankless by CCL
2026