Thomas Shum

933 citations
17 papers · 612 · h-index 10

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 11
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 2

Thomas Shum

16 papers receiving 603 citations

Peers

Thomas Shum
Comparison fields: 5 of 49
  • Oncology 476
  • Immunology 198
  • Genetics 177
  • Health Informatics 6
  • Biomedical Engineering 161
Replace Fenlu Zhu with:
Fenlu Zhu United States
Hejin Jia China
Elisa Kieback Germany
Degui Geng United States
Angelika Holler United Kingdom
Uxua Mancheño Spain
Andrew Medvec United States
Yannick Bulliard United States
Ryo Hanajiri Japan
Nobuhiko Imahashi Japan
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Citations per field
00.5×
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

17 of 17 papers shown
#Work
1 2017220
2 2017116
3 201865
4 202044
5 201739
6 201828
7 202026
8 202219
9 201815
10 201714
11 20187
12 20226
13 20234
14 20214
15 20164
16 20201
17 20220

About Thomas Shum

Thomas Shum is a scholar working on Oncology, Immunology, Epidemiology, Molecular Biology and Genetics, having authored 17 papers that have together received 612 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (4 papers), Cytomegalovirus and herpesvirus research (2 papers), Nanowire Synthesis and Applications (2 papers), Hepatitis B Virus Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Oncology (476 citations), Immunology (198 citations), Genetics (177 citations), Health Informatics (6 citations) and Biomedical Engineering (161 citations). Thomas Shum has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Cliona M. Rooney, Stephen Gottschalk, Haruko Tashiro, Robert L. Kruse, Bilal Omer, Tim Sauer, Malcolm K. Brenner, Kathan Parikh, Zhongzhen Yi and Maksim Mamonkin. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, Cancer Discovery, Gastrointestinal Endoscopy and Radiology Cardiothoracic Imaging.

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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