Mark Y. Chiang

1.7k total citations
32 papers, 1.2k citations indexed

About

Mark Y. Chiang is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mark Y. Chiang has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Hematology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mark Y. Chiang's work include Cancer-related gene regulation (9 papers), Acute Myeloid Leukemia Research (8 papers) and Acute Lymphoblastic Leukemia research (8 papers). Mark Y. Chiang is often cited by papers focused on Cancer-related gene regulation (9 papers), Acute Myeloid Leukemia Research (8 papers) and Acute Lymphoblastic Leukemia research (8 papers). Mark Y. Chiang collaborates with scholars based in United States, Australia and France. Mark Y. Chiang's co-authors include Warren S. Pear, Jon C. Aster, Olga Shestova, Lanwei Xu, Stephen C. Blacklow, John G. Monroe, Gavin Histen, Ivan Maillard, Candice A. Romany and M. Eden Childs and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Mark Y. Chiang

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Y. Chiang United States 17 699 296 248 231 231 32 1.2k
Idoya Lahortiga Spain 20 672 1.0× 207 0.7× 595 2.4× 226 1.0× 329 1.4× 40 1.3k
Edwin F. E. de Haas Netherlands 12 670 1.0× 509 1.7× 266 1.1× 202 0.9× 104 0.5× 16 1.2k
Eike C. Buss Germany 13 494 0.7× 438 1.5× 537 2.2× 397 1.7× 144 0.6× 31 1.2k
Marie-Laure Arcangeli France 18 836 1.2× 491 1.7× 310 1.3× 292 1.3× 152 0.7× 29 1.5k
Matthew P. McCormack Australia 18 642 0.9× 315 1.1× 360 1.5× 319 1.4× 230 1.0× 38 1.2k
Traudl Henn Austria 14 426 0.6× 181 0.6× 492 2.0× 151 0.7× 189 0.8× 21 1.0k
Carin Lassen Sweden 21 642 0.9× 127 0.4× 570 2.3× 180 0.8× 244 1.1× 35 1.3k
Lionel Coignet United States 21 530 0.8× 126 0.4× 318 1.3× 280 1.2× 138 0.6× 42 1.1k
Rob Dee Netherlands 9 400 0.6× 105 0.4× 480 1.9× 116 0.5× 233 1.0× 11 961
Anthony A. Fernald United States 18 707 1.0× 114 0.4× 468 1.9× 145 0.6× 96 0.4× 36 1.1k

Countries citing papers authored by Mark Y. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Mark Y. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Y. Chiang. 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 Y. Chiang. The network helps show where Mark Y. Chiang may publish in the future.

Co-authorship network of co-authors of Mark Y. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Y. Chiang. A scholar is included among the top collaborators of Mark Y. Chiang 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 Y. Chiang. Mark Y. Chiang 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.
Hewitt, Sylvia C., Ryan M. Marquardt, Cynthia J. Willson, et al.. (2025). Transcriptional coregulator ZMIZ1 modulates estrogen responses that are essential for healthy endometrial function. Journal of Clinical Investigation. 135(23). 1 indexed citations
2.
Patel, Nehal, et al.. (2024). Zmiz1 is a novel regulator of lymphatic endothelial cell gene expression and function. PLoS ONE. 19(5). e0302926–e0302926. 3 indexed citations
3.
Liu, Yiran E., Qing Wang, Nicholas Kunnath, et al.. (2023). Cdc73 protects Notch-induced T-cell leukemia cells from DNA damage and mitochondrial stress. Blood. 142(25). 2159–2174. 3 indexed citations
4.
Chen, Tina, et al.. (2023). The Problems and Possibilities of Global Asias Pedagogy. 9(1). 1–42. 1 indexed citations
5.
Sharma, Abhishek, et al.. (2023). Proliferative Vitreoretinopathy Following Transscleral Diode Cyclophotocoagulation. Journal of Glaucoma. 32(6). e66–e68.
6.
Goldman, Joshua W., Travis Saari, Noah A. Brown, et al.. (2022). ETV6 Deficiency Unlocks ERG-Dependent Microsatellite Enhancers to Drive Aberrant Gene Activation in B-Lymphoblastic Leukemia. Blood Cancer Discovery. 4(1). 34–53. 5 indexed citations
7.
Rodríguez, Sónia, Francesco Boccalatte, Purvi Mehrotra, et al.. (2019). Therapeutic targeting of the E3 ubiquitin ligase SKP2 in T-ALL. Leukemia. 34(5). 1241–1252. 31 indexed citations
8.
Wang, Qing, et al.. (2018). Notch in Leukemia. Advances in experimental medicine and biology. 1066. 355–394. 22 indexed citations
9.
Pinnell, Nancy, Ran Yan, Hyo Je Cho, et al.. (2015). The PIAS-like Coactivator Zmiz1 Is a Direct and Selective Cofactor of Notch1 in T Cell Development and Leukemia. Immunity. 43(5). 870–883. 48 indexed citations
10.
Caruso, Sarah, Morgan Jones, Rork Kuick, et al.. (2012). Convergence of the ZMIZ1 and NOTCH1 Pathways at C-MYC in Acute T Lymphoblastic Leukemias. Cancer Research. 73(2). 930–941. 45 indexed citations
11.
Chiang, Mark Y., Olga Shestova, Lanwei Xu, Jon C. Aster, & Warren S. Pear. (2012). Divergent effects of supraphysiologic Notch signals on leukemia stem cells and hematopoietic stem cells. Blood. 121(6). 905–917. 39 indexed citations
12.
Giambra, Vincenzo, Christopher Jenkins, Hongfang Wang, et al.. (2012). NOTCH1 promotes T cell leukemia-initiating activity by RUNX-mediated regulation of PKC-θ and reactive oxygen species. Nature Medicine. 18(11). 1693–1698. 68 indexed citations
13.
Chiang, Mark Y., et al.. (2011). Transient Responses to NOTCH and TLX1/HOX11 Inhibition in T-Cell Acute Lymphoblastic Leukemia/Lymphoma. PLoS ONE. 6(2). e16761–e16761. 12 indexed citations
14.
Liu, Hudan, Mark Y. Chiang, & Warren S. Pear. (2011). Critical roles of NOTCH1 in acute T-cell lymphoblastic leukemia. International Journal of Hematology. 94(2). 118–125. 20 indexed citations
15.
Liu, Hudan, Kelly L. Arnett, Mark Y. Chiang, et al.. (2010). Notch dimerization is required for leukemogenesis and T-cell development. Genes & Development. 24(21). 2395–2407. 60 indexed citations
16.
Yashiro–Ohtani, Yumi, Yiping He, Takuya Ohtani, et al.. (2009). Pre-TCR signaling inactivates Notch1 transcription by antagonizing E2A. Genes & Development. 23(14). 1665–1676. 144 indexed citations
17.
Chiang, Mark Y., M. Eden Childs, Candice A. Romany, et al.. (2009). C-Myc, but Not Akt, Can Substitute for Notch in Lymphomagenesis.. Blood. 114(22). 7–7. 4 indexed citations
18.
Chiang, Mark Y., Lanwei Xu, Olga Shestova, et al.. (2008). Leukemia-associated NOTCH1 alleles are weak tumor initiators but accelerate K-ras–initiated leukemia. Journal of Clinical Investigation. 118(9). 3181–3194. 163 indexed citations
19.
Chiang, Mark Y. & Warren S. Pear. (2005). Cancer Genetics: Activated Notch takes center stage in T-cell leukemogenesis. European Journal of Human Genetics. 13(4). 393–395. 1 indexed citations
20.

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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