Gary C. Chan

2.4k total citations
51 papers, 1.9k citations indexed

About

Gary C. Chan is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Gary C. Chan has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 21 papers in Immunology and 10 papers in Molecular Biology. Recurrent topics in Gary C. Chan's work include Cytomegalovirus and herpesvirus research (38 papers), Herpesvirus Infections and Treatments (18 papers) and Toxoplasma gondii Research Studies (8 papers). Gary C. Chan is often cited by papers focused on Cytomegalovirus and herpesvirus research (38 papers), Herpesvirus Infections and Treatments (18 papers) and Toxoplasma gondii Research Studies (8 papers). Gary C. Chan collaborates with scholars based in United States, Canada and United Kingdom. Gary C. Chan's co-authors include Andrew D. Yurochko, Maciej T. Nogalski, M. Shane Smith, Elizabeth R. Bivins-Smith, Gretchen L. Bentz, Patrick M. Smith, Donna Collins-McMillen, LJ Guilbert, Philip A. Marsden and Larry J. Guilbert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Gary C. Chan

51 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary C. Chan United States 26 1.2k 694 404 325 144 51 1.9k
Christian Davrinche France 25 670 0.6× 679 1.0× 356 0.9× 122 0.4× 74 0.5× 69 1.5k
Audrey Esclatine France 22 1.4k 1.2× 355 0.5× 675 1.7× 254 0.8× 258 1.8× 33 2.0k
Dorothee Schmid United States 11 1.4k 1.1× 1.1k 1.6× 580 1.4× 250 0.8× 219 1.5× 14 2.3k
Bence Réthi Sweden 23 282 0.2× 985 1.4× 478 1.2× 150 0.5× 79 0.5× 70 1.8k
Wolfgang Mutter Germany 10 1000 0.8× 1.3k 1.9× 463 1.1× 198 0.6× 84 0.6× 11 2.5k
Ann E. Campbell United States 20 1.3k 1.1× 1.6k 2.3× 282 0.7× 235 0.7× 54 0.4× 39 2.4k
Stephen R. Jennings United States 27 941 0.8× 1.2k 1.7× 249 0.6× 45 0.1× 61 0.4× 61 2.0k
Brian Yordy United States 9 571 0.5× 917 1.3× 822 2.0× 93 0.3× 151 1.0× 10 1.6k
Yijie Ma China 27 743 0.6× 806 1.2× 939 2.3× 64 0.2× 86 0.6× 50 2.2k
Sachin Mulik United States 18 319 0.3× 655 0.9× 336 0.8× 57 0.2× 206 1.4× 30 1.3k

Countries citing papers authored by Gary C. Chan

Since Specialization
Citations

This map shows the geographic impact of Gary 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 Gary 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 Gary C. Chan more than expected).

Fields of papers citing papers by Gary C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Gary C. Chan. A scholar is included among the top collaborators of Gary 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 Gary C. Chan. Gary 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.
Miller, Michael J., Dennis J. Thiele, Eain A. Murphy, et al.. (2025). Targeting the host transcription factor HSF1 prevents human cytomegalovirus replication in vitro and in vivo. Antiviral Research. 237. 106150–106150. 2 indexed citations
2.
Miller, Michael J., et al.. (2024). Delivery of US28 by incoming HCMV particles rapidly attenuates Akt activity to suppress HCMV lytic replication in monocytes. Science Signaling. 17(851). eadn8727–eadn8727. 4 indexed citations
3.
McElvany, Benjamin D., Jeffrey R. Currier, Heather Friberg, et al.. (2024). B cell receptor dependent enhancement of dengue virus infection. PLoS Pathogens. 20(10). e1012683–e1012683. 4 indexed citations
4.
Remiszewski, Stacy, et al.. (2023). Inhibition of SIRT2 promotes death of human cytomegalovirus-infected peripheral blood monocytes via apoptosis and necroptosis. Antiviral Research. 217. 105698–105698. 5 indexed citations
5.
Smith, Nicholas A., Gary C. Chan, & Christine M. O’Connor. (2021). Modulation of host cell signaling during cytomegalovirus latency and reactivation. Virology Journal. 18(1). 207–207. 17 indexed citations
6.
Chan, Gary C., et al.. (2021). Analysis of Cytomegalovirus Glycoprotein and Cellular Receptor Interactions. Methods in molecular biology. 2244. 199–211. 4 indexed citations
7.
Xiaofei, E, Paul Meraner, Ping Lü, et al.. (2019). OR14I1 is a receptor for the human cytomegalovirus pentameric complex and defines viral epithelial cell tropism. Proceedings of the National Academy of Sciences. 116(14). 7043–7052. 95 indexed citations
8.
Miller, Michael J., et al.. (2018). Aberrant regulation of the Akt signaling network by human cytomegalovirus allows for targeting of infected monocytes. Antiviral Research. 158. 13–24. 20 indexed citations
9.
Chan, Gary C., et al.. (2016). Selective peptide inhibitors of antiapoptotic cellular and viral Bcl-2 proteins lead to cytochrome c release during latent Kaposi’s sarcoma-associated herpesvirus infection. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
10.
11.
Yuan, Lei, Gary C. Chan, David Beeler, et al.. (2016). A role of stochastic phenotype switching in generating mosaic endothelial cell heterogeneity. Nature Communications. 7(1). 10160–10160. 69 indexed citations
12.
Chan, Gary C. & Andrew D. Yurochko. (2014). Analysis of Cytomegalovirus Binding/Entry-Mediated Events. Methods in molecular biology. 1119. 113–121. 8 indexed citations
13.
Nogalski, Maciej T., et al.. (2013). The HCMV gH/gL/UL128-131 Complex Triggers the Specific Cellular Activation Required for Efficient Viral Internalization into Target Monocytes. PLoS Pathogens. 9(7). e1003463–e1003463. 77 indexed citations
14.
Nogalski, Maciej T., et al.. (2012). A Quantitative Evaluation of Cell Migration by the Phagokinetic Track Motility Assay. Journal of Visualized Experiments. e4165–e4165. 12 indexed citations
15.
16.
Chan, Gary C., Elizabeth R. Bivins-Smith, M. Shane Smith, & Andrew D. Yurochko. (2009). NF-κB and phosphatidylinositol 3-kinase activity mediates the HCMV-induced atypical M1/M2 polarization of monocytes. Virus Research. 144(1-2). 329–333. 70 indexed citations
17.
Chan, Gary C., Elizabeth R. Bivins-Smith, M. Shane Smith, Patrick M. Smith, & Andrew D. Yurochko. (2008). Transcriptome Analysis Reveals Human Cytomegalovirus Reprograms Monocyte Differentiation toward an M1 Macrophage. The Journal of Immunology. 181(1). 698–711. 156 indexed citations
18.
19.
Chan, Gary C., Mark F. Stinski, & L.J. Guilbert. (2004). Human Cytomegalovirus-Induced Upregulation of Intercellular Cell Adhesion Molecule-1 on Villous Syncytiotrophoblasts. Biology of Reproduction. 71(3). 797–803. 18 indexed citations
20.
Chan, Gary C., Denise G. Hemmings, Andrew D. Yurochko, & Larry J. Guilbert. (2002). Human Cytomegalovirus-Caused Damage to Placental Trophoblasts Mediated by Immediate-Early Gene-Induced Tumor Necrosis Factor-α. American Journal Of Pathology. 161(4). 1371–1381. 49 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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