Waipan Chan

585 total citations
9 papers, 396 citations indexed

About

Waipan Chan is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Waipan Chan has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Waipan Chan's work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (2 papers). Waipan Chan is often cited by papers focused on Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (2 papers). Waipan Chan collaborates with scholars based in United States, Germany and China. Waipan Chan's co-authors include Christian F. Meyer, Yan Zheng, Greg M. Delgoffe, Jonathan D. Powell, Ronald N. Germain, Xiang Zhao, Tural Aksel, Leah V. Sibener, Rui Dong and Ronald D. Vale and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Waipan Chan

9 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Waipan Chan United States 6 263 163 118 54 38 9 396
David R. Glass United States 8 264 1.0× 196 1.2× 71 0.6× 45 0.8× 22 0.6× 11 486
Aizhang Xu China 12 157 0.6× 142 0.9× 102 0.9× 48 0.9× 43 1.1× 19 389
Frederick Arce Vargas United Kingdom 5 204 0.8× 180 1.1× 195 1.7× 50 0.9× 25 0.7× 13 383
Dalton Hermans United States 6 213 0.8× 166 1.0× 157 1.3× 70 1.3× 28 0.7× 6 362
Krystle Veerman Canada 6 330 1.3× 176 1.1× 196 1.7× 38 0.7× 18 0.5× 6 493
Thérèse Liechtenstein United Kingdom 12 347 1.3× 168 1.0× 252 2.1× 33 0.6× 19 0.5× 15 505
Nicolas Acquavella United States 8 229 0.9× 133 0.8× 238 2.0× 20 0.4× 29 0.8× 11 383
Ufuk Karakus Switzerland 7 223 0.8× 141 0.9× 163 1.4× 33 0.6× 17 0.4× 12 397
Floriane Noël France 9 275 1.0× 234 1.4× 158 1.3× 47 0.9× 23 0.6× 11 529
Rosanna M. McEwen-Smith United Kingdom 5 336 1.3× 111 0.7× 159 1.3× 48 0.9× 13 0.3× 5 482

Countries citing papers authored by Waipan Chan

Since Specialization
Citations

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

Fields of papers citing papers by Waipan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waipan Chan

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

All Works

9 of 9 papers shown
1.
Ye, Deji, Satoshi Kubo, Ping Jiang, et al.. (2024). AMBRA1 controls the translation of immune-specific genes in T lymphocytes. Proceedings of the National Academy of Sciences. 121(44). e2416722121–e2416722121. 2 indexed citations
2.
Chan, Waipan, Xiang Zhao, Dongya Jia, et al.. (2023). TCR ligand potency differentially impacts PD-1 inhibitory effects on diverse signaling pathways. The Journal of Experimental Medicine. 220(12). 7 indexed citations
3.
Kubo, Satoshi, Yikun Yao, Lixin Zheng, et al.. (2022). Early B cell factor 4 modulates FAS-mediated apoptosis and promotes cytotoxic function in human immune cells. Proceedings of the National Academy of Sciences. 119(33). e2208522119–e2208522119. 10 indexed citations
4.
Zhao, Xiang, Elizabeth Motunrayo Kolawole, Waipan Chan, et al.. (2022). Tuning T cell receptor sensitivity through catch bond engineering. Science. 376(6589). eabl5282–eabl5282. 88 indexed citations
5.
Dong, Rui, Tural Aksel, Waipan Chan, et al.. (2021). DNA origami patterning of synthetic T cell receptors reveals spatial control of the sensitivity and kinetics of signal activation. Proceedings of the National Academy of Sciences. 118(40). 48 indexed citations
6.
Chan, Waipan, Rachel A. Gottschalk, Yikun Yao, Joel L. Pomerantz, & Ronald N. Germain. (2021). Efficient Immune Cell Genome Engineering with Enhanced CRISPR Editing Tools. ImmunoHorizons. 5(2). 117–132. 1 indexed citations
7.
Gottschalk, Rachel A., Michael G. Dorrington, Bhaskar Dutta, et al.. (2019). IFN-mediated negative feedback supports bacteria class-specific macrophage inflammatory responses. eLife. 8. 17 indexed citations
8.
Zheng, Yan, Greg M. Delgoffe, Christian F. Meyer, Waipan Chan, & Jonathan D. Powell. (2009). Anergic T Cells Are Metabolically Anergic. The Journal of Immunology. 183(10). 6095–6101. 220 indexed citations
9.
Chan, Waipan, et al.. (1984). An improved microtiter plate method to measure the potency of plasminogen activators. Thrombosis Research. 36(5). 467–474. 3 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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