ChingLam W. Wong

1.3k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

ChingLam W. Wong is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, ChingLam W. Wong has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in ChingLam W. Wong's work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). ChingLam W. Wong is often cited by papers focused on CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). ChingLam W. Wong collaborates with scholars based in United States, South Africa and Germany. ChingLam W. Wong's co-authors include Xiuli Wang, Stephen J. Forman, Michael C. Jensen, Stanley R. Riddell, Wen-Chung Chang, Julie R. Ostberg, Mark A. Sherman, David Colcher, Ryan Urak and Christine E. Brown and has published in prestigious journals such as Blood, Clinical Cancer Research and Journal for ImmunoTherapy of Cancer.

In The Last Decade

ChingLam W. Wong

8 papers receiving 1.0k citations

Hit Papers

A transgene-encoded cell surface polypeptide for selectio... 2011 2026 2016 2021 2011 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A transgene-encoded cell surface polypeptide for selection, in vivo tracking, and ablation of engineered cells
    2011 472 citations Xiuli Wang, Wen-Chung Chang et al. Blood profile →

Peers

ChingLam W. Wong
Ryan Urak United States
Anthony F. Daniyan United States
Virna Marin Italy
Aruna Mahendravada United States
Kayoko Saso Canada
Mark Anczurowski Canada
Reona Sakemura United States
Simon Thomas United Kingdom
Diogo Gomes‐Silva United States
Ryan Urak United States
ChingLam W. Wong
Citations per year, relative to ChingLam W. Wong ChingLam W. Wong (= 1×) peers Ryan Urak

Countries citing papers authored by ChingLam W. Wong

Since Specialization
Citations

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

Fields of papers citing papers by ChingLam W. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by ChingLam W. Wong. 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 ChingLam W. Wong. The network helps show where ChingLam W. Wong may publish in the future.

Co-authorship network of co-authors of ChingLam W. Wong

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

All Works

8 of 8 papers shown
1.
Wang, Xiuli, Miriam Walter, Ryan Urak, et al.. (2017). Lenalidomide Enhances the Function of CS1 Chimeric Antigen Receptor–Redirected T Cells Against Multiple Myeloma. Clinical Cancer Research. 24(1). 106–119. 149 indexed citations
2.
Urak, Ryan, Miriam Walter, Laura Lim, et al.. (2017). Ex vivo Akt inhibition promotes the generation of potent CD19CAR T cells for adoptive immunotherapy. Journal for ImmunoTherapy of Cancer. 5(1). 26–26. 85 indexed citations
3.
Wang, Xiuli, ChingLam W. Wong, Ryan Urak, et al.. (2015). CMVpp65 Vaccine Enhances the Antitumor Efficacy of Adoptively Transferred CD19-Redirected CMV-Specific T Cells. Clinical Cancer Research. 21(13). 2993–3002. 52 indexed citations
4.
Wang, Xiuli, ChingLam W. Wong, Ryan Urak, et al.. (2015). Comparison of naïve and central memory derived CD8 + effector cell engraftment fitness and function following adoptive transfer. OncoImmunology. 5(1). e1072671–e1072671. 23 indexed citations
5.
Wang, Xiuli, ChingLam W. Wong, Ryan Urak, et al.. (2014). CS-1 Re-Directed Central Memory T Cell Therapy for Multiple Myeloma. Blood. 124(21). 1114–1114. 2 indexed citations
6.
Wang, Xiuli, Araceli Naranjo, Christine E. Brown, et al.. (2012). Phenotypic and Functional Attributes of Lentivirus-modified CD19-specific Human CD8+ Central Memory T Cells Manufactured at Clinical Scale. Journal of Immunotherapy. 35(9). 689–701. 111 indexed citations
7.
Wang, Xiuli, Wen-Chung Chang, ChingLam W. Wong, et al.. (2011). A transgene-encoded cell surface polypeptide for selection, in vivo tracking, and ablation of engineered cells. Blood. 118(5). 1255–1263. 472 indexed citations breakdown →
8.
Wang, Xiuli, Carolina Berger, ChingLam W. Wong, et al.. (2010). Engraftment of human central memory-derived effector CD8+ T cells in immunodeficient mice. Blood. 117(6). 1888–1898. 129 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ryan Urak Breakdown of academic impact, for papers by Anthony F. Daniyan Breakdown of academic impact, for papers by Virna Marin Breakdown of academic impact, for papers by Aruna Mahendravada Breakdown of academic impact, for papers by Kayoko Saso Breakdown of academic impact, for papers by Mark Anczurowski Breakdown of academic impact, for papers by Reona Sakemura Breakdown of academic impact, for papers by Simon Thomas Breakdown of academic impact, for papers by Diogo Gomes‐Silva
Rankless by CCL
2026