Thomas Shum

1.0k citations
18 papers · 771 · h-index 11

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • CAR-T cell therapy research 12
    • Cancer Immunotherapy and Biomarkers 2
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2

Thomas Shum

18 papers receiving 759 citations

Peers

Thomas Shum
Comparison fields: 5 of 51
  • Oncology 584
  • Immunology 221
  • Genetics 176
  • Biomedical Engineering 166
  • Hematology 37
Replace Fenlu Zhu with:
Fenlu Zhu United States
Uğur Uslu Germany
Jason Yu United States
Jonathan P.H. Fisher United Kingdom
Angelika Holler United Kingdom
Hejin Jia China
Elisa Kieback Germany
J. Joseph Melenhorst United States
Ryo Hanajiri Japan
Haodong Cai China
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Citations per field
00.5×2×2.6×
Fenlu Zhu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Thomas Shum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Shum Line = papers co-authored together Thomas Shum links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017257
2 2017140
3 201876
4 202447
5 202046
6 201743
7 202037
8 201831
9 202225
10 201718
11 201817
12 202210
13 20187
14 20236
15 20215
16 20164
17 20221
18 20201

About Thomas Shum

Thomas Shum is a scholar working on Oncology, Immunology, Epidemiology, Genetics and Infectious Diseases, having authored 18 papers that have together received 771 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Virus-based gene therapy research (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (584 citations), Immunology (221 citations), Genetics (176 citations), Biomedical Engineering (166 citations) and Hematology (37 citations). Thomas Shum has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Cliona M. Rooney, Stephen M Gottschalk, Haruko Tashiro, Robert L. Kruse, Bilal A. Omer, Tim Sauer, Malcolm K. Brenner, Kathan Parikh, Zhongzhen Yi and Maksim Mamonkin. Their work appears in journals such as Frontiers in Medicine, Molecular Therapy — Methods & Clinical Development, Transplantation and Cellular Therapy, The Journal of Immunology and Radiographics.

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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