Nathan Singh

3.5k total citations · 1 hit paper
36 papers, 1.9k citations indexed

About

Nathan Singh is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Nathan Singh has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 11 papers in Immunology and 10 papers in Genetics. Recurrent topics in Nathan Singh's work include CAR-T cell therapy research (29 papers), Virus-based gene therapy research (10 papers) and Immune Cell Function and Interaction (8 papers). Nathan Singh is often cited by papers focused on CAR-T cell therapy research (29 papers), Virus-based gene therapy research (10 papers) and Immune Cell Function and Interaction (8 papers). Nathan Singh collaborates with scholars based in United States, Germany and Israel. Nathan Singh's co-authors include Stephan A. Grupp, Carl H. June, David M. Barrett, David M. Barrett, Margaret M. Billingsley, Pranali Ravikumar, Michael J. Mitchell, Rui Zhang, Jessica Perazzelli and David L. Porter and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

Nathan Singh

35 papers receiving 1.9k citations

Hit Papers

Ionizable Lipid Nanoparticle-Mediated mRNA Delivery for H... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Singh United States 19 1.2k 750 598 524 401 36 1.9k
Kazuhiro Nagai Japan 19 463 0.4× 434 0.6× 332 0.6× 96 0.2× 103 0.3× 76 1.3k
Yongxian Hu China 17 485 0.4× 356 0.5× 203 0.3× 112 0.2× 106 0.3× 60 996
Orietta Spinelli Italy 20 516 0.4× 575 0.8× 349 0.6× 59 0.1× 129 0.3× 62 1.7k
Simon N. Robinson United States 22 511 0.4× 378 0.5× 576 1.0× 75 0.1× 143 0.4× 66 1.5k
Adam Grippin United States 14 463 0.4× 362 0.5× 402 0.7× 261 0.5× 102 0.3× 47 1.1k
Juan Xu China 24 382 0.3× 1.1k 1.4× 293 0.5× 148 0.3× 53 0.1× 98 1.9k
Robert Reger United States 16 1.2k 1.0× 327 0.4× 1.1k 1.9× 159 0.3× 341 0.9× 55 1.7k
Jacson Shen United States 28 689 0.6× 981 1.3× 205 0.3× 134 0.3× 84 0.2× 52 2.0k
Xiaoyan Shao China 21 270 0.2× 593 0.8× 134 0.2× 79 0.2× 71 0.2× 47 1.2k
Xianghua Wu China 17 523 0.4× 583 0.8× 192 0.3× 124 0.2× 130 0.3× 71 1.3k

Countries citing papers authored by Nathan Singh

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Singh. A scholar is included among the top collaborators of Nathan Singh 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 Nathan Singh. Nathan Singh 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.
Warrington, John M., Julie Ritchey, Michael Slade, et al.. (2024). Rational Protein Engineering to Enhance MHC-Independent T-cell Receptors. Cancer Discovery. 14(11). 2109–2121. 5 indexed citations
2.
Wellhausen, Nils, Nils W. Engel, January Salas-McKee, et al.. (2024). Identification of Core Techniques That Enhance Genome Editing of Human T Cells Expressing Synthetic Antigen Receptors. Cancer Immunology Research. 12(9). 1136–1146. 2 indexed citations
3.
Singh, Nathan. (2024). Analysis of pre-treatment tumors reveals gatekeepers of response to CAR T cells. Molecular Therapy. 32(3). 567–568. 2 indexed citations
4.
Jadlowsky, Julie K., David H. Spencer, John M. Warrington, et al.. (2024). Regulatory Considerations for Genome-Edited T-cell Therapies. Cancer Immunology Research. 12(9). 1132–1135. 2 indexed citations
5.
Heard, Amanda, et al.. (2023). Regulation of the Transcriptional Repressor BACH2 Overcomes Tonic Signaling-Driven CAR T Cell Dysfunction. Blood. 142(Supplement 1). 2065–2065.
6.
Singh, Nathan & Marcela V. Maus. (2023). Synthetic manipulation of the cancer-immunity cycle: CAR-T cell therapy. Immunity. 56(10). 2296–2310. 23 indexed citations
7.
Singh, Nathan, et al.. (2023). Inducing T cell dysfunction by chronic stimulation of CAR-engineered T cells targeting cancer cells in suspension cultures. STAR Protocols. 4(1). 101954–101954. 7 indexed citations
8.
Heard, Amanda, John M. Warrington, John Lattin, et al.. (2022). Antigen glycosylation regulates efficacy of CAR T cells targeting CD19. Nature Communications. 13(1). 3367–3367. 40 indexed citations
9.
Heard, Amanda, Jufang Chang, John M. Warrington, & Nathan Singh. (2021). Advances in CAR design. Best Practice & Research Clinical Haematology. 34(3). 101304–101304. 4 indexed citations
10.
Billingsley, Margaret M., Nathan Singh, Pranali Ravikumar, et al.. (2020). Ionizable Lipid Nanoparticle-Mediated mRNA Delivery for Human CAR T Cell Engineering. Nano Letters. 20(3). 1578–1589. 453 indexed citations breakdown →
11.
Singh, Nathan, Elena J. Orlando, Jun Xu, et al.. (2019). Mechanisms of resistance to CAR T cell therapies. Seminars in Cancer Biology. 65. 91–98. 28 indexed citations
12.
Singh, Nathan, Junwei Shi, Carl H. June, & Marco Ruella. (2017). Genome-Editing Technologies in Adoptive T Cell Immunotherapy for Cancer. Current Hematologic Malignancy Reports. 12(6). 522–529. 64 indexed citations
13.
Tondon, Rashmi, Nathan Singh, Samir Abu‐Gazala, et al.. (2017). Erythropoietic protoporphyria in an adult with sequential liver and hematopoietic stem cell transplantation: A case report. American Journal of Transplantation. 18(3). 745–749. 18 indexed citations
14.
Singh, Nathan, Noelle V. Frey, Stephan A. Grupp, & Shannon L. Maude. (2016). CAR T Cell Therapy in Acute Lymphoblastic Leukemia and Potential for Chronic Lymphocytic Leukemia. Current Treatment Options in Oncology. 17(6). 28–28. 56 indexed citations
15.
Singh, Nathan, et al.. (2015). Reduction of Radiation Exposure From C-Arm Fluoroscopy During Orthopaedic Trauma Operations With Introduction of Real-Time Dosimetry. Journal of Orthopaedic Trauma. 30(2). e53–e58. 30 indexed citations
16.
Singh, Nathan, Irina Kulikovskaya, David M. Barrett, et al.. (2015). T cells targeting NY-ESO-1 demonstrate efficacy against disseminated neuroblastoma. OncoImmunology. 5(1). e1040216–e1040216. 32 indexed citations
17.
Singh, Nathan & David M. Barrett. (2015). Donor-derived CD19 chimeric antigen receptor T cells. Current Opinion in Hematology. 22(6). 503–508. 3 indexed citations
18.
Singh, Nathan, Xiaojun Liu, Jessica Hulitt, et al.. (2014). Nature of Tumor Control by Permanently and Transiently Modified GD2 Chimeric Antigen Receptor T Cells in Xenograft Models of Neuroblastoma. Cancer Immunology Research. 2(11). 1059–1070. 65 indexed citations
19.
Liebl, Hans, Gabby B. Joseph, Michael C. Nevitt, et al.. (2014). Early T2 changes predict onset of radiographic knee osteoarthritis: data from the osteoarthritis initiative. Annals of the Rheumatic Diseases. 74(7). 1353–1359. 108 indexed citations
20.
Kandalaft, Lana E., Nathan Singh, John B. Liao, et al.. (2009). The emergence of immunomodulation: Combinatorial immunochemotherapy opportunities for the next decade. Gynecologic Oncology. 116(2). 222–233. 25 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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