Michael Chow

607 total citations
13 papers, 448 citations indexed

About

Michael Chow is a scholar working on Immunology, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Michael Chow has authored 13 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Michael Chow's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). Michael Chow is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). Michael Chow collaborates with scholars based in Canada, United States and Israel. Michael Chow's co-authors include Jason Flinn, Mona Attariyan, Hung‐Sia Teh, Thomas F. Wenisch, David Meisner, Daniel Peek, John J. Priatel, Xiaoxi Chen, Peter M. Chen and Edward Y. Kim and has published in prestigious journals such as The Journal of Immunology, European Journal of Immunology and BMC Microbiology.

In The Last Decade

Michael Chow

13 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Chow Canada 9 300 206 106 65 64 13 448
Ayumu Kubota Japan 11 251 0.8× 180 0.9× 62 0.6× 64 1.0× 96 1.5× 42 523
Mark Marron United States 13 127 0.4× 217 1.1× 154 1.5× 171 2.6× 291 4.5× 30 848
Xinyu Hu China 10 88 0.3× 104 0.5× 23 0.2× 42 0.6× 64 1.0× 24 325
Ademar Aguiar Portugal 10 94 0.3× 220 1.1× 20 0.2× 66 1.0× 124 1.9× 59 342
Alan Leung United States 10 50 0.2× 90 0.4× 11 0.1× 74 1.1× 76 1.2× 17 325
Xinyang Ge United States 10 102 0.3× 98 0.5× 10 0.1× 45 0.7× 208 3.3× 24 332
Myungjin Lee South Korea 10 412 1.4× 331 1.6× 6 0.1× 6 0.1× 76 1.2× 30 551
Eric Roman United States 8 316 1.1× 182 0.9× 11 0.1× 9 0.1× 27 0.4× 18 400

Countries citing papers authored by Michael Chow

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Chow

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

All Works

13 of 13 papers shown
1.
2.
Chow, Michael, Kaushik Veeraraghavan, Michael Cafarella, & Jason Flinn. (2016). DQBarge: improving data-quality tradeoffs in large-scale internet services. Operating Systems Design and Implementation. 771–786. 7 indexed citations
3.
Chow, Michael, et al.. (2014). Eidetic systems. Operating Systems Design and Implementation. 525–540. 51 indexed citations
4.
Chow, Michael, David Meisner, Jason Flinn, Daniel Peek, & Thomas F. Wenisch. (2014). The mystery machine: end-to-end performance analysis of large-scale internet services. Operating Systems Design and Implementation. 217–231. 122 indexed citations
5.
Tremblay, Sarah, Ellen T. Arena, L. Caetano M. Antunes, et al.. (2013). Enterohepatic bacterial infections dysregulate the FGF15-FGFR4 endocrine axis. BMC Microbiology. 13(1). 238–238. 9 indexed citations
6.
Attariyan, Mona, Michael Chow, & Jason Flinn. (2012). X-ray: automating root-cause diagnosis of performance anomalies in production software. Operating Systems Design and Implementation. 307–320. 136 indexed citations
7.
Chow, Michael & Robbert van Renesse. (2011). A Middleware for Gossip Protocols. 1 indexed citations
8.
Chow, Michael & Hung‐Sia Teh. (2010). H2‐M3‐restricted CD8+ T cells augment CD4+ T‐cell responses by promoting DC maturation. European Journal of Immunology. 40(5). 1408–1417. 4 indexed citations
9.
Priatel, John J., Xiaoxi Chen, Yu‐Hsuan Huang, et al.. (2009). RasGRP1 Regulates Antigen-Induced Developmental Programming by Naive CD8 T Cells. The Journal of Immunology. 184(2). 666–676. 16 indexed citations
10.
Kim, Edward Y., et al.. (2009). TNFR2-Deficient Memory CD8 T Cells Provide Superior Protection against Tumor Cell Growth. The Journal of Immunology. 183(10). 6051–6057. 36 indexed citations
11.
Chen, Xiaoxi, John J. Priatel, Michael Chow, & Hung‐Sia Teh. (2008). Preferential Development of CD4 and CD8 T Regulatory Cells in RasGRP1-Deficient Mice. The Journal of Immunology. 180(9). 5973–5982. 38 indexed citations
12.
Chow, Michael, et al.. (2006). H2-M3-Restricted T Cells Participate in the Priming of Antigen-Specific CD4+ T Cells. The Journal of Immunology. 177(8). 5098–5104. 10 indexed citations
13.
Dhanji, Salim, Michael Chow, & Hung‐Sia Teh. (2006). Self-Antigen Maintains the Innate Antibacterial Function of Self-Specific CD8 T Cells In Vivo. The Journal of Immunology. 177(1). 138–146. 15 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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