Gcf Chan

15.5k total citations · 1 hit paper
358 papers, 8.7k citations indexed

About

Gcf Chan is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Gcf Chan has authored 358 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Hematology, 89 papers in Genetics and 60 papers in Molecular Biology. Recurrent topics in Gcf Chan's work include Hemoglobinopathies and Related Disorders (40 papers), Neuroblastoma Research and Treatments (36 papers) and Hematopoietic Stem Cell Transplantation (32 papers). Gcf Chan is often cited by papers focused on Hemoglobinopathies and Related Disorders (40 papers), Neuroblastoma Research and Treatments (36 papers) and Hematopoietic Stem Cell Transplantation (32 papers). Gcf Chan collaborates with scholars based in Hong Kong, China and United States. Gcf Chan's co-authors include Daniel Sze, Sy Ha, Wing Keung Chan, YL Lau, Yiu‐fai Cheung, Hkw Law, Daniel KL Cheuk, Aks Chiang, J. Li and Ka‐Wai Cheung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Gcf Chan

333 papers receiving 8.5k citations

Hit Papers

The effects of β-glucan o... 2009 2026 2014 2020 2009 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gcf Chan 2.1k 1.7k 1.5k 1.0k 909 358 8.7k
Marie C. Béné 1.7k 0.8× 959 0.6× 2.7k 1.8× 1.1k 1.1× 2.7k 2.9× 377 9.5k
John Bradley 1.0k 0.5× 1.1k 0.6× 1.7k 1.1× 1.1k 1.1× 1.2k 1.3× 246 9.3k
Francesco Salvatore 4.2k 2.0× 658 0.4× 887 0.6× 734 0.7× 694 0.8× 345 9.2k
Frank Buttgereit 3.4k 1.6× 1.4k 0.8× 1.1k 0.7× 1.5k 1.4× 2.9k 3.2× 398 16.2k
Yoshinori Ito 2.6k 1.3× 1.2k 0.7× 462 0.3× 2.6k 2.5× 1.3k 1.4× 435 11.2k
Paula K. Roberson 5.1k 2.4× 625 0.4× 2.2k 1.5× 3.9k 3.7× 687 0.8× 123 12.1k
Adrian F. Gombart 2.2k 1.0× 556 0.3× 1.2k 0.8× 508 0.5× 1.4k 1.5× 95 7.9k
Francisco J. Blanco 5.3k 2.5× 1.4k 0.8× 798 0.5× 1.4k 1.4× 2.5k 2.7× 612 18.7k
Willem A. Kamps 2.2k 1.1× 613 0.4× 1.8k 1.2× 1.8k 1.8× 587 0.6× 177 8.4k
Janet Lee 3.6k 1.8× 492 0.3× 834 0.5× 834 0.8× 2.2k 2.4× 259 10.9k

Countries citing papers authored by Gcf Chan

Since Specialization
Citations

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

Fields of papers citing papers by Gcf Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gcf Chan

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

All Works

20 of 20 papers shown
1.
Mora, Jaume, Gcf Chan, Daniel A. Morgenstern, et al.. (2025). The anti-GD2 monoclonal antibody naxitamab plus GM-CSF for relapsed or refractory high-risk neuroblastoma: a phase 2 clinical trial. Nature Communications. 16(1). 1636–1636. 3 indexed citations
2.
Helali, Aya El, David Shih, Charlene H. L. Wong, et al.. (2023). The impact of the multi-disciplinary molecular tumour board and integrative next generation sequencing on clinical outcomes in advanced solid tumours. The Lancet Regional Health - Western Pacific. 36. 100775–100775. 6 indexed citations
3.
Li, Chi Kong, Purna Kurkure, Ramandeep Singh Arora, et al.. (2023). Current Challenges of Asian National Children's Cancer Study Groups on Behalf of Asian Pediatric Hematology and Oncology Group. JCO Global Oncology. 9(9). e2300153–e2300153. 3 indexed citations
4.
Cheuk, Daniel KL, et al.. (2022). Outcome prediction of chronic myeloid leukemia (CML) in children. Annals of Hematology. 101(8). 1677–1688. 3 indexed citations
5.
Inamoto, Yoshihiro, Robert Zeiser, & Gcf Chan. (2021). Novel Treatment for Graft-versus-Host Disease. PubMed. 4(4). 101–109. 3 indexed citations
6.
Wang, Xiwei, Zheng Xiang, Yinping Liu, et al.. (2020). Exosomes derived from Vδ2-T cells control Epstein-Barr virus–associated tumors and induce T cell antitumor immunity. Science Translational Medicine. 12(563). 77 indexed citations
7.
Li, William, et al.. (2019). Relationships among hope, psychological well-being and health-related quality of life in childhood cancer survivors. Journal of Health Psychology. 26(10). 1528–1537. 14 indexed citations
8.
Lee, Kelvin C. M., Andy K. S. Lau, Anson H. L. Tang, et al.. (2019). Multi‐ATOM: Ultrahigh‐throughput single‐cell quantitative phase imaging with subcellular resolution. Journal of Biophotonics. 12(7). e201800479–e201800479. 31 indexed citations
9.
Li, William, Ka Yan Ho, Katherine Ka Wai Lam, et al.. (2018). Adventure-based training to promote physical activity and reduce fatigue among childhood cancer survivors: A randomized controlled trial. International Journal of Nursing Studies. 83. 65–74. 65 indexed citations
10.
Li, Zhenhai, Kwan Yeung Wong, Gcf Chan, & Chor Sang Chim. (2017). Epigenetic silencing of LPP/miR-28 in multiple myeloma. Journal of Clinical Pathology. 71(3). 253–258. 15 indexed citations
12.
Chan, Gcf, et al.. (2017). Drug-induced amino acid deprivation as strategy for cancer therapy. Journal of Hematology & Oncology. 10(1). 144–144. 131 indexed citations
13.
Cheung, Yiu‐fai, et al.. (2013). Plasma High Sensitivity Troponin T Levels in Adult Survivors of Childhood Leukaemias: Determinants and Associations with Cardiac Function. PLoS ONE. 8(10). e77063–e77063. 10 indexed citations
14.
Tso, Gloria Hoi Wan, Hkw Law, Wenwei Tu, Gcf Chan, & YL Lau. (2010). Phagocytosis of Apoptotic Cells Modulates Mesenchymal Stem Cells Osteogenic Differentiation to Enhance IL-17 and RANKL Expression on CD4+ T Cells. Stem Cells. 28(5). 939–954. 50 indexed citations
15.
Chan, Barbara Pui, et al.. (2009). Mesenchymal Stem Cell–Encapsulated Collagen Microspheres for Bone Tissue Engineering. Tissue Engineering Part C Methods. 16(2). 225–235. 98 indexed citations
16.
Chan, Gcf, et al.. (2006). Parental knowledge, attitudes and antibiotic use for acute upper respiratory tract infection in children attending a primary healthcare clinic in Malaysia.. PubMed. 47(4). 266–70. 77 indexed citations
17.
Chan, Wing Keung, Hkw Law, Wing‐Tak Wong, et al.. (2005). Ganoderma lucidum Mycelium and Spore Extracts as Natural Adjuvants for Immunotherapy. The Journal of Alternative and Complementary Medicine. 11(6). 1047–1057. 47 indexed citations
18.
Li, Chi Kong, Chi Kong Li, Ki Wai Chik, et al.. (2002). Treatment of acute lymphoblastic leukemia in Hong Kong children: HKALL 93 study. Hematological Oncology. 21(1). 1–9. 16 indexed citations
19.
Lau, YL, et al.. (1993). Hepatitis C virus antibody in multiply transfused Chinese with thalassaemia major.. PubMed. 12 Suppl 1. 26–8. 13 indexed citations
20.
Doray, B, et al.. (1976). Bilirubin metabolism and the induction of kernicterus.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 12(2). 255–63. 6 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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