Thomas Shum

970 citations
18 papers · 675 · 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 665 citations

Peers

Thomas Shum
Comparison fields: 5 of 49
  • Oncology 510
  • Immunology 194
  • Genetics 168
  • Biomedical Engineering 156
  • Hepatology 23
Replace Fenlu Zhu with:
Fenlu Zhu United States
Hejin Jia China
Farzana Nazimuddin United States
Clare Taylor United States
Angelika Holler United Kingdom
Ekaterina Zmievskaya Russia
Jason Yu United States
Uğur Uslu Germany
Xia Mao China
Jonathan Fisher United Kingdom
Thomas Shum relative to Fenlu Zhu United States Fenlu Zhu's profile →
Citations per field
00.5×3.2×
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 2017231
2 2017118
3 201867
4 202044
5 202440
6 201740
7 201828
8 202027
9 202219
10 201815
11 201715
12 20228
13 20187
14 20235
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 675 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), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Oncology (510 citations), Immunology (194 citations), Genetics (168 citations), Biomedical Engineering (156 citations) and Hepatology (23 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, Bilal Omer, Robert L. Kruse, Tim Sauer, Kathan Parikh, Malcolm K. Brenner, Zhongzhen Yi and Maksim Mamonkin. Their work appears in journals such as Journal of Clinical Oncology, Expert Opinion on Biological Therapy, Cancer Discovery, Cytotherapy and Transplantation and Cellular Therapy.

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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