Andrew C. Chan

20.6k total citations · 5 hit papers
113 papers, 16.2k citations indexed

About

Andrew C. Chan is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew C. Chan has authored 113 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Immunology, 30 papers in Molecular Biology and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew C. Chan's work include T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (35 papers) and Monoclonal and Polyclonal Antibodies Research (27 papers). Andrew C. Chan is often cited by papers focused on T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (35 papers) and Monoclonal and Polyclonal Antibodies Research (27 papers). Andrew C. Chan collaborates with scholars based in United States, Germany and France. Andrew C. Chan's co-authors include Arthur Weiss, Makio Iwashima, Paul J. Carter, Bryan Irving, Flavius Martin, Andréy S. Shaw, Christoph W. Turck, Tomohiro Kurosaki, Chong Fu and Michael L. Dustin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Andrew C. Chan

110 papers receiving 15.9k citations

Hit Papers

Recognition of Unique Carboxyl-Terminal Motifs by Distinc... 1992 2026 2003 2014 1997 1992 2010 1994 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew C. Chan United States 54 10.2k 6.4k 2.7k 2.5k 1.2k 113 16.2k
Michael Reth Germany 73 10.9k 1.1× 7.5k 1.2× 1.8k 0.7× 4.1k 1.6× 1.0k 0.8× 219 18.1k
André Veillette Canada 67 9.9k 1.0× 5.7k 0.9× 3.5k 1.3× 1.8k 0.7× 1.3k 1.1× 182 14.7k
Joseph B. Bolen United States 71 7.8k 0.8× 6.8k 1.1× 4.1k 1.5× 2.7k 1.1× 2.0k 1.6× 171 16.0k
Jannie Borst Netherlands 76 10.9k 1.1× 6.0k 0.9× 4.6k 1.7× 1.8k 0.7× 883 0.7× 232 18.2k
Steven J. Burakoff United States 71 9.7k 0.9× 7.7k 1.2× 3.5k 1.3× 2.4k 0.9× 1.6k 1.3× 278 17.3k
John C. Cambier United States 81 14.8k 1.5× 6.7k 1.1× 2.2k 0.8× 4.4k 1.8× 1.6k 1.3× 312 20.4k
Roger M. Perlmutter United States 62 7.5k 0.7× 5.9k 0.9× 3.4k 1.3× 2.3k 0.9× 1.0k 0.9× 125 13.2k
Andréy S. Shaw United States 79 10.3k 1.0× 11.3k 1.8× 3.6k 1.3× 2.0k 0.8× 1.8k 1.5× 192 24.3k
Gary A. Koretzky United States 74 13.0k 1.3× 8.4k 1.3× 3.8k 1.4× 1.2k 0.5× 2.4k 2.0× 208 20.7k
Doreen A. Cantrell United Kingdom 81 12.6k 1.2× 10.0k 1.6× 5.1k 1.9× 1.3k 0.5× 1.3k 1.0× 217 21.7k

Countries citing papers authored by Andrew C. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew C. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Chan. A scholar is included among the top collaborators of Andrew C. 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 Andrew C. Chan. Andrew C. 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.
Chan, Andrew C., et al.. (2025). Fifty years of monoclonals: the past, present and future of antibody therapeutics. Nature reviews. Immunology. 25(10). 745–765. 5 indexed citations
3.
Han, Yuyuan, Yan Huang, L. Rasmussen, et al.. (2025). Maternal PRDM10 activates essential genes for oocyte-to-embryo transition. Nature Communications. 16(1). 1939–1939. 1 indexed citations
4.
Hartwig, Tanja Schlaikjær, Louise Ambye, Jennifer R. Gruhn, et al.. (2023). Cell-Free Fetal DNA for Genetic Evaluation in Copenhagen Pregnancy Loss Study (COPL): A Prospective Cohort Study. Obstetrical & Gynecological Survey. 78(6). 345–346.
5.
Spalinger, Marianne R., Thomas Schmidt, Marlene Schwarzfischer, et al.. (2019). Protein tyrosine phosphatase non-receptor type 22 modulates colitis in a microbiota-dependent manner. Journal of Clinical Investigation. 129(6). 2527–2541. 18 indexed citations
6.
Holmes, Derek A, et al.. (2014). Dusp5 negatively regulates IL ‐33‐mediated eosinophil survival and function. The EMBO Journal. 34(2). 218–235. 48 indexed citations
7.
Bodogai, Monica, Catalina Lee-Chang, Katarzyna Wejksza, et al.. (2013). Anti-CD20 Antibody Promotes Cancer Escape via Enrichment of Tumor-Evoked Regulatory B Cells Expressing Low Levels of CD20 and CD137L. Cancer Research. 73(7). 2127–2138. 112 indexed citations
8.
Fiorillo, Edoardo, Valeria Orrù, Stephanie M. Stanford, et al.. (2010). Autoimmune-associated PTPN22 R620W Variation Reduces Phosphorylation of Lymphoid Phosphatase on an Inhibitory Tyrosine Residue. Journal of Biological Chemistry. 285(34). 26506–26518. 75 indexed citations
9.
Townsend, Michael J., John G. Monroe, & Andrew C. Chan. (2010). B‐cell targeted therapies in human autoimmune diseases: an updated perspective. Immunological Reviews. 237(1). 264–283. 173 indexed citations
10.
Chan, Andrew C., Rhona H. Borts, & Eva R. Hoffmann. (2009). Temperature-Dependent Modulation of Chromosome Segregation in msh4 Mutants of Budding Yeast. PLoS ONE. 4(10). e7284–e7284. 14 indexed citations
11.
Zikherman, Julie, Michelle L. Hermiston, David Steiner, et al.. (2009). PTPN22 Deficiency Cooperates with the CD45 E613R Allele to Break Tolerance on a Non-Autoimmune Background. The Journal of Immunology. 182(7). 4093–4106. 106 indexed citations
12.
Sidhu, Sachdev S., et al.. (2008). Regulation of a Late Phase of T Cell Polarity and Effector Functions by Crtam. Cell. 132(5). 846–859. 103 indexed citations
13.
Föger, Niko, Linda Rangell, Dimitry M. Danilenko, & Andrew C. Chan. (2006). Requirement for Coronin 1 in T Lymphocyte Trafficking and Cellular Homeostasis. Science. 313(5788). 839–842. 212 indexed citations
14.
Gong, Qian, Qinglin Ou, Shiming Ye, et al.. (2005). Importance of Cellular Microenvironment and Circulatory Dynamics in B Cell Immunotherapy. The Journal of Immunology. 174(2). 817–826. 423 indexed citations
15.
Hasegawa, Kiminori, et al.. (2004). PEST Domain-Enriched Tyrosine Phosphatase (PEP) Regulation of Effector/Memory T Cells. Science. 303(5658). 685–689. 302 indexed citations
16.
Benschop, Robert J., et al.. (2001). Unique Signaling Properties of B Cell Antigen Receptor in Mature and Immature B Cells: Implications for Tolerance and Activation. The Journal of Immunology. 167(8). 4172–4179. 76 indexed citations
17.
Mora, Ana L., et al.. (2001). Inefficient ZAP-70 Phosphorylation and Decreased Thymic Selection In Vivo Result from Inhibition of NF-κB/Rel. The Journal of Immunology. 167(10). 5628–5635. 26 indexed citations
18.
Wang, Guixian, M. Kathryn Liszewski, Andrew C. Chan, & John P. Atkinson. (2000). Membrane Cofactor Protein (MCP; CD46): Isoform-Specific Tyrosine Phosphorylation. The Journal of Immunology. 164(4). 1839–1846. 87 indexed citations
20.
Chan, Andrew C. & John P. Atkinson. (1985). Oligosaccharide structure of human C4.. The Journal of Immunology. 134(3). 1790–1798. 25 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

Rankless by CCL
2026