ChingLam W. Wong

1.3k citations
8 papers · 1.0k indexed · 1 hit paper · h-index 7
Topics
CAR-T cell therapy research (8 papers)Immune Cell Function and Interaction (5 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)

In The Last Decade

ChingLam W. Wong

8 papers receiving 1.0k citations

Hit Papers

A transgene-encoded cell surface polypeptide for selectio...20112026201620212011100200300400

Peers

ChingLam W. Wong
Comparison fields: 5 of 38
  • Oncology 944
  • Immunology 381
  • Molecular Biology 359
  • Genetics 323
  • Biomedical Engineering 312
Replace Ryan Urak with:
Ryan Urak United States
Aruna Mahendravada United States
Anton Dobrin United States
Simon Thomas United Kingdom
Diogo Gomes‐Silva United States
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ChingLam W. Wong relative to Ryan Urak United States Ryan Urak's profile →
Citations per field
00.5×3.8×
Ryan Urak · 1×
Citations per year

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
#WorkIndexed citations
1 149
2 85
3 52
4 23
5 2
6 111
7
A transgene-encoded cell surface polypeptide for selection, in vivo tracking, and ablation of engineered cellsbreakdown →
472
8 129

About ChingLam W. Wong

ChingLam W. Wong is a scholar working on Oncology, Immunology and Epidemiology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this 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). The work is most often cited by research in Oncology (944 citations), Immunology (381 citations) and Genetics (323 citations). ChingLam W. Wong has collaborated with scholars based in United States, South Africa and Germany. Frequent 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. Their work appears in journals such as Blood, Clinical Cancer Research and Journal for ImmunoTherapy of Cancer.

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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