Mark M. W. Chong

8.6k total citations · 3 hit papers
53 papers, 6.1k citations indexed

About

Mark M. W. Chong is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Mark M. W. Chong has authored 53 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 26 papers in Molecular Biology and 20 papers in Cancer Research. Recurrent topics in Mark M. W. Chong's work include MicroRNA in disease regulation (18 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (12 papers). Mark M. W. Chong is often cited by papers focused on MicroRNA in disease regulation (18 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (12 papers). Mark M. W. Chong collaborates with scholars based in Australia, United States and Canada. Mark M. W. Chong's co-authors include Dan R. Littman, Liang Zhou, Sihem Cheloufi, Gregory J. Hannon, Alexander Y. Rudensky, Camila O. dos Santos, Ivaylo I. Ivanov, Yuelei Shen, Yury P. Rubtsov and Jianguang Du and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mark M. W. Chong

50 papers receiving 6.0k citations

Hit Papers

TGF-β-induced Foxp3 inhibits TH17 cell differentiation by... 2008 2026 2014 2020 2008 2009 2010 500 1000 1.5k

Peers

Mark M. W. Chong
Ashutosh Chaudhry United States
M Shannon Australia
David C. Scherer United States
Amanda C. Poholek United States
Frank Köntgen Australia
Dinis Pedro Calado United Kingdom
Ann Ranger United States
Eric M. Pietras United States
Ashutosh Chaudhry United States
Mark M. W. Chong
Citations per year, relative to Mark M. W. Chong Mark M. W. Chong (= 1×) peers Ashutosh Chaudhry

Countries citing papers authored by Mark M. W. Chong

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. W. Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark M. W. Chong. 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 Mark M. W. Chong. The network helps show where Mark M. W. Chong may publish in the future.

Co-authorship network of co-authors of Mark M. W. Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. W. Chong. A scholar is included among the top collaborators of Mark M. W. Chong 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 Mark M. W. Chong. Mark M. W. Chong 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.
Lam, Trang T. & Mark M. W. Chong. (2025). Regulation of actin cytoskeletal dynamics in T cell development and function. Frontiers in Immunology. 16. 1622928–1622928.
2.
Liu, Xin, et al.. (2023). Mapping the two distinct proliferative bursts early in T‐cell development. Immunology and Cell Biology. 101(8). 766–774.
3.
Skinner, Jarrod P., et al.. (2022). MYL9 deficiency is neonatal lethal in mice due to abnormalities in the lung and the muscularis propria of the bladder and intestine. PLoS ONE. 17(7). e0270820–e0270820. 3 indexed citations
4.
Liu, Xin, et al.. (2021). A comparison of alternative mRNA splicing in the CD4 and CD8 T cell lineages. Molecular Immunology. 133. 53–62. 7 indexed citations
5.
Mok, Lawrence, et al.. (2018). Regulating gene expression in animals through RNA endonucleolytic cleavage. Heliyon. 4(11). e00908–e00908. 16 indexed citations
6.
Srivastava, Monika, Nadia J. Kershaw, Vicki Athanasopoulos, et al.. (2015). Roquin binds microRNA-146a and Argonaute2 to regulate microRNA homeostasis. Nature Communications. 6(1). 6253–6253. 60 indexed citations
7.
Kobayashi, Tatsuya, Garyfallia Papaioannou, Fatemeh Mirzamohammadi, et al.. (2015). Early postnatal ablation of the microRNA-processing enzyme, Drosha, causes chondrocyte death and impairs the structural integrity of the articular cartilage. Osteoarthritis and Cartilage. 23(7). 1214–1220. 29 indexed citations
8.
Johanson, Timothy M., Jarrod P. Skinner, Amit Kumar, et al.. (2014). The role of microRNAs in lymphopoiesis. International Journal of Hematology. 100(3). 246–253. 26 indexed citations
9.
Collins, Amélie, Susannah L. Hewitt, Julie Chaumeil, et al.. (2011). RUNX Transcription Factor-Mediated Association of Cd4 and Cd8 Enables Coordinate Gene Regulation. Immunity. 34(3). 303–314. 30 indexed citations
10.
Chong, Mark M. W., et al.. (2011). Many routes to a micro RNA. IUBMB Life. 63(11). 972–978. 16 indexed citations
11.
Karginov, Fedor V., Sihem Cheloufi, Mark M. W. Chong, et al.. (2010). Diverse Endonucleolytic Cleavage Sites in the Mammalian Transcriptome Depend upon MicroRNAs, Drosha, and Additional Nucleases. Molecular Cell. 38(6). 781–788. 153 indexed citations
12.
Chong, Mark M. W., Natalie E. Simpson, Maria Ciofani, et al.. (2010). Epigenetic propagation of CD4 expression is established by theCd4proximal enhancer in helper T cells. Genes & Development. 24(7). 659–669. 53 indexed citations
13.
Zhou, Liang, Mark M. W. Chong, & Dan R. Littman. (2009). Plasticity of CD4+ T Cell Lineage Differentiation. Immunity. 30(5). 646–655. 1154 indexed citations breakdown →
14.
Chong, Mark M. W., Jeffrey P. Rasmussen, Alexander Y. Rudensky, & Dan R. Littman. (2008). The RNAseIII enzyme Drosha is critical in T cells for preventing lethal inflammatory disease. The Journal of Experimental Medicine. 205(10). 2449–2449. 24 indexed citations
15.
Jamieson, Emma, Mark M. W. Chong, Gregory R. Steinberg, et al.. (2005). Socs1 Deficiency Enhances Hepatic Insulin Signaling. Journal of Biological Chemistry. 280(36). 31516–31521. 33 indexed citations
16.
Chong, Mark M. W., Ye Chen, Rima Darwiche, et al.. (2004). Suppressor of Cytokine Signaling-1 Overexpression Protects Pancreatic β Cells from CD8+ T Cell-Mediated Autoimmune Destruction. The Journal of Immunology. 172(9). 5714–5721. 88 indexed citations
17.
Darwiche, Rima, Mark M. W. Chong, Pere Santamaría, Helen E. Thomas, & Thomas W. H. Kay. (2003). Fas Is Detectable on β Cells in Accelerated, But Not Spontaneous, Diabetes in Nonobese Diabetic Mice. The Journal of Immunology. 170(12). 6292–6297. 43 indexed citations
18.
Cornish, Ann L., Mark M. W. Chong, Gayle M. Davey, et al.. (2003). Suppressor of Cytokine Signaling-1 Regulates Signaling in Response to Interleukin-2 and Other γc-dependent Cytokines in Peripheral T Cells. Journal of Biological Chemistry. 278(25). 22755–22761. 106 indexed citations
19.
Chong, Mark M. W., Ann L. Cornish, Rima Darwiche, et al.. (2003). Suppressor of Cytokine Signaling-1 Is a Critical Regulator of Interleukin-7-Dependent CD8+ T Cell Differentiation. Immunity. 18(4). 475–487. 144 indexed citations
20.
Kay, Thomas W. H., et al.. (2003). The Role of Cytokines as Effectors of Tissue Destruction in Autoimmunity. Advances in experimental medicine and biology. 520. 73–86. 9 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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