Thomas Shum

933 total citations
17 papers, 612 citations indexed

About

Thomas Shum is a scholar working on Oncology, Immunology and Epidemiology. According to data from OpenAlex, Thomas Shum has authored 17 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Thomas Shum's work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). Thomas Shum is often cited by papers focused on CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). Thomas Shum collaborates with scholars based in United States, Germany and Switzerland. Thomas Shum's co-authors include Cliona M. Rooney, Haruko Tashiro, Stephen Gottschalk, Robert L. Kruse, Bilal Omer, Tim Sauer, Malcolm K. Brenner, Kathan Parikh, Zhongzhen Yi and Maksim Mamonkin and has published in prestigious journals such as Blood, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Thomas Shum

16 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Shum United States 10 476 198 177 172 161 17 612
Ryo Hanajiri Japan 10 452 0.9× 200 1.0× 170 1.0× 162 0.9× 163 1.0× 29 576
Fenlu Zhu United States 9 485 1.0× 146 0.7× 125 0.7× 186 1.1× 197 1.2× 21 593
Sabine Heitzeneder United States 5 416 0.9× 243 1.2× 113 0.6× 170 1.0× 159 1.0× 13 599
Vicky Torrano United States 6 791 1.7× 389 2.0× 187 1.1× 181 1.1× 106 0.7× 9 893
Simon Grassmann Germany 15 455 1.0× 492 2.5× 112 0.6× 208 1.2× 126 0.8× 22 792
Sandhya Sharma United States 10 641 1.3× 242 1.2× 261 1.5× 251 1.5× 118 0.7× 21 735
Hugo Calderón Spain 7 388 0.8× 179 0.9× 197 1.1× 199 1.2× 103 0.6× 13 524
Lisa Marie Serrano United States 8 459 1.0× 268 1.4× 169 1.0× 116 0.7× 89 0.6× 9 543
Degui Geng United States 9 308 0.6× 321 1.6× 84 0.5× 139 0.8× 130 0.8× 14 565
Anthony F. Daniyan United States 12 784 1.6× 363 1.8× 237 1.3× 326 1.9× 241 1.5× 24 1.0k

Countries citing papers authored by Thomas Shum

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Shum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Shum

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

All Works

17 of 17 papers shown
1.
Sharma, Sandhya, Tim Sauer, Bilal Omer, et al.. (2023). Constitutive Interleukin-7 Cytokine Signaling Enhances the Persistence of Epstein–Barr Virus-Specific T-Cells. International Journal of Molecular Sciences. 24(21). 15806–15806. 4 indexed citations
2.
Omer, Bilal, Thomas Pfeiffer, Sandhya Sharma, et al.. (2022). A Costimulatory CAR Improves TCR-based Cancer Immunotherapy. Cancer Immunology Research. 10(4). 512–524. 19 indexed citations
3.
Shum, Thomas, et al.. (2022). Imaging Findings of Thoracic Lymphatic Abnormalities. Radiographics. 42(5). 1265–1282. 6 indexed citations
4.
Omer, Bilal, Thomas Shum, Jennifer Foster, et al.. (2022). Phase I Trial of GD2.CAR T Cells Combined with a Novel Interleukin-7 Signal Modulator. Transplantation and Cellular Therapy. 28(3). S105–S106.
5.
Kruse, Robert L., Yuting Huang, Thomas Shum, et al.. (2021). Endoscopic-mediated, biliary hydrodynamic injection mediating clinically relevant levels of gene delivery in pig liver. Gastrointestinal Endoscopy. 94(6). 1119–1130.e4. 4 indexed citations
6.
Olbrich, Henning, Sebastian J. Theobald, Andreas Schneider, et al.. (2020). Adult and Cord Blood-Derived High-Affinity gB-CAR-T Cells Effectively React Against Human Cytomegalovirus Infections. Human Gene Therapy. 31(7-8). 423–439. 26 indexed citations
7.
Shum, Thomas, Francine L. Jacobson, Hiroto Hatabu, et al.. (2020). Determinants of Chest Radiography Sensitivity for COVID-19: A Multi-Institutional Study in the United States. Radiology Cardiothoracic Imaging. 2(5). e200337–e200337. 44 indexed citations
8.
Huang, Yuting, Robert L. Kruse, Thomas Shum, et al.. (2020). Sa1504 SAFETY PROFILE OF LIVER-DIRECTED, NON-VIRAL GENE DELIVERY BY ENDOSCOPIC-MEDIATED HYDRODYNAMIC INJECTION OF THE BILIARY TRACT IN PIGS. Gastroenterology. 158(6). S–1314. 1 indexed citations
9.
Shum, Thomas & Helen E. Heslop. (2018). A backpack revs up T-cell activity. Nature Biotechnology. 36(8). 702–703. 7 indexed citations
10.
Omer, Bilal, Paul Castillo, Haruko Tashiro, et al.. (2018). Chimeric Antigen Receptor Signaling Domains Differentially Regulate Proliferation and Native T Cell Receptor Function in Virus-Specific T Cells. Frontiers in Medicine. 5. 343–343. 15 indexed citations
11.
Kruse, Robert L., Thomas Shum, Haruko Tashiro, et al.. (2018). HBsAg-redirected T cells exhibit antiviral activity in HBV-infected human liver chimeric mice. Cytotherapy. 20(5). 697–705. 65 indexed citations
12.
Shum, Thomas, Robert L. Kruse, & Cliona M. Rooney. (2018). Strategies for enhancing adoptive T-cell immunotherapy against solid tumors using engineered cytokine signaling and other modalities. Expert Opinion on Biological Therapy. 18(6). 653–664. 28 indexed citations
13.
Shum, Thomas, Bilal Omer, Haruko Tashiro, et al.. (2017). Constitutive Signaling from an Engineered IL7 Receptor Promotes Durable Tumor Elimination by Tumor-Redirected T Cells. Cancer Discovery. 7(11). 1238–1247. 220 indexed citations
14.
Tashiro, Haruko, Tim Sauer, Thomas Shum, et al.. (2017). Treatment of Acute Myeloid Leukemia with T Cells Expressing Chimeric Antigen Receptors Directed to C-type Lectin-like Molecule 1. Molecular Therapy. 25(9). 2202–2213. 116 indexed citations
15.
Kruse, Robert L., Thomas Shum, Xavier Legras, et al.. (2017). In Situ Liver Expression of HBsAg/CD3-Bispecific Antibodies for HBV Immunotherapy. Molecular Therapy — Methods & Clinical Development. 7. 32–41. 14 indexed citations
16.
Schmueck‐Henneresse, Michael, Bilal Omer, Thomas Shum, et al.. (2017). Comprehensive Approach for Identifying the T Cell Subset Origin of CD3 and CD28 Antibody–Activated Chimeric Antigen Receptor–Modified T Cells. The Journal of Immunology. 199(1). 348–362. 39 indexed citations
17.
Stripecke, Renata, Sebastian J. Theobald, Bala Sai Sundarasetty, et al.. (2016). CAR T Cells Targeted with a High Affinity Scfv Against the HCMV Glycoprotein Gb As Adoptive T Cell Therapy after Hematopoietic Stem Cell Transplantation. Blood. 128(22). 5721–5721. 4 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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