Derek V. Chan

417 citations
11 papers · 295 · h-index 9

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • Cytokine Signaling Pathways and Interactions 1

Derek V. Chan

11 papers receiving 289 citations

Peers

Derek V. Chan
Comparison fields: 5 of 60
  • Immunology 153
  • Oncology 99
  • Dermatology 30
  • Pathology and Forensic Medicine 29
  • Molecular Biology 99
Replace Katalin Olasz with:
Katalin Olasz Hungary
Jutta Schröder Germany
Vladimir Janković United States
Zena Salih United Kingdom
Mizuha Kosugi‐Kanaya Japan
Isabel Longo Spain
Connor H. Church United States
Annika Håkansson Sweden
David Rafei‐Shamsabadi Germany
Xuexiao Jin China
Derek V. Chan relative to Katalin Olasz Hungary Katalin Olasz's profile →
Citations per field
00.5×1.5×2.2×
Katalin Olasz · 1×
Citations per year

Countries citing papers authored by Derek V. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Derek V. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek V. Chan. 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 Derek V. Chan. The network helps show where Derek V. Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside Derek V. Chan, 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 Derek V. Chan Line = papers co-authored together Derek V. Chan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2013103
2 201243
3 200033
4 199623
5 200320
6 201219
7 201718
8 201117
9 201310
10 20145
11 20174

About Derek V. Chan

Derek V. Chan is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 295 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Cell death mechanisms and regulation (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (153 citations), Oncology (99 citations), Dermatology (30 citations), Pathology and Forensic Medicine (29 citations) and Molecular Biology (99 citations). Derek V. Chan has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Henry K. Wong, Heather M. Gibson, Barbara Aufiero, Andrew J. Wilson, Mikehl S. Hafner, Hugh Auchincloss, Shyr‐Te Ju, Anjali Mishra, Satoshi Jodo and Pierluigi Porcu. Their work appears in journals such as Molecular Cancer Therapeutics, The Journal of Immunology, Human Vaccines & Immunotherapeutics, Journal of Biomedical Science and Journal of Biological Chemistry.

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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