Minh D. To

1.8k total citations
26 papers, 1.2k citations indexed

About

Minh D. To is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Minh D. To has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Minh D. To's work include Cancer Immunotherapy and Biomarkers (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Minh D. To is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Minh D. To collaborates with scholars based in United States, Canada and United Kingdom. Minh D. To's co-authors include Allan Balmain, Peter M.K. Westcott, David A. Quigley, Reyno Del Rosario, Reyno Delrosario, Jian‐Hua Mao, Jesús Pérez‐Losada, Kuang‐Yu Jen, Irene L. Andrulis and Frank McCormick and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Minh D. To

25 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
Minh D. To United States 18 897 412 297 164 140 26 1.2k
Xiaodong Liao China 12 902 1.0× 442 1.1× 303 1.0× 94 0.6× 105 0.8× 22 1.2k
Yari Ciribilli Italy 23 983 1.1× 521 1.3× 319 1.1× 123 0.8× 120 0.9× 54 1.3k
Jillian Howlin Sweden 14 732 0.8× 471 1.1× 469 1.6× 211 1.3× 91 0.7× 20 1.2k
Elena A. Takano Australia 19 795 0.9× 390 0.9× 337 1.1× 145 0.9× 68 0.5× 35 1.2k
Lauren D. Wood United States 16 1.2k 1.4× 580 1.4× 335 1.1× 89 0.5× 196 1.4× 20 1.7k
Kam Sprott United States 12 756 0.8× 376 0.9× 276 0.9× 111 0.7× 156 1.1× 31 1.2k
Victoria da Silva-Diz United States 9 691 0.8× 616 1.5× 345 1.2× 87 0.5× 104 0.7× 16 1.1k
Victoria Hill United States 17 729 0.8× 338 0.8× 220 0.7× 137 0.8× 185 1.3× 23 1.2k
Chiara Luise Italy 13 1.5k 1.6× 669 1.6× 312 1.1× 104 0.6× 188 1.3× 16 1.9k
Hena R. Ashar United States 12 1.2k 1.3× 522 1.3× 380 1.3× 150 0.9× 118 0.8× 13 1.6k

Countries citing papers authored by Minh D. To

Since Specialization
Citations

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

Fields of papers citing papers by Minh D. To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh D. To. 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 Minh D. To. The network helps show where Minh D. To may publish in the future.

Co-authorship network of co-authors of Minh D. To

This figure shows the co-authorship network connecting the top 25 collaborators of Minh D. To. A scholar is included among the top collaborators of Minh D. To 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 Minh D. To. Minh D. To 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.
Galligan, Carole L., et al.. (2022). Fine-tuned long-acting interleukin-2 superkine potentiates durable immune responses in mice and non-human primate. Journal for ImmunoTherapy of Cancer. 10(1). e003155–e003155. 40 indexed citations
2.
Chen, Wei-Ching, Minh D. To, Peter M.K. Westcott, et al.. (2021). Targeting KRAS4A splicing through the RBM39/DCAF15 pathway inhibits cancer stem cells. Nature Communications. 12(1). 4288–4288. 34 indexed citations
3.
Rafei, Moutih, et al.. (2020). In vitro and in vivo characterization of MDNA11: A long-acting “beta-only” IL-2 superkine in syngeneic mice tumor models and nonhuman primates.. Journal of Clinical Oncology. 38(15_suppl). 3036–3036. 1 indexed citations
4.
5.
Holderfield, Matthew, Jacqueline Galeas, Reyno Delrosario, et al.. (2015). K-Ras Promotes Tumorigenicity through Suppression of Non-canonical Wnt Signaling. Cell. 163(5). 1237–1251. 155 indexed citations
6.
Westcott, Peter M.K., Kyle Halliwill, Minh D. To, et al.. (2014). The mutational landscapes of genetic and chemical models of Kras-driven lung cancer. Nature. 517(7535). 489–492. 239 indexed citations
7.
Wong, Christine E., Jennifer S. Yu, David A. Quigley, et al.. (2013). Inflammation and Hras signaling control epithelial–mesenchymal transition during skin tumor progression. Genes & Development. 27(6). 670–682. 47 indexed citations
8.
Kim, Il-Jin, David A. Quigley, Minh D. To, et al.. (2013). Rewiring of human lung cell lineage and mitotic networks in lung adenocarcinomas. Nature Communications. 4(1). 1701–1701. 41 indexed citations
9.
Westcott, Peter M.K. & Minh D. To. (2012). The genetics and biology of KRAS in lung cancer. Chinese Journal of Cancer. 32(2). 63–70. 75 indexed citations
10.
To, Minh D., Reyno Del Rosario, Peter M.K. Westcott, Karl L. Banta, & Allan Balmain. (2012). Interactions between wild-type and mutant Ras genes in lung and skin carcinogenesis. Oncogene. 32(34). 4028–4033. 68 indexed citations
11.
Quigley, David A., Minh D. To, Kevin Lin, et al.. (2011). Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility. Genome biology. 12(1). R5–R5. 34 indexed citations
12.
Quigley, David A., Minh D. To, Jesús Pérez‐Losada, et al.. (2009). Genetic architecture of mouse skin inflammation and tumour susceptibility. Nature. 458(7237). 505–508. 99 indexed citations
13.
To, Minh D., Christine E. Wong, Anthony N. Karnezis, et al.. (2008). Kras regulatory elements and exon 4A determine mutation specificity in lung cancer. Nature Genetics. 40(10). 1240–1244. 94 indexed citations
14.
To, Minh D., Nalan Gökgöz, Dorit Donoviel, et al.. (2006). Functional characterization of novel presenilin-2 variants identified in human breast cancers. Oncogene. 25(25). 3557–3564. 32 indexed citations
15.
To, Minh D., Jesús Pérez‐Losada, Jian‐Hua Mao, et al.. (2006). A functional switch from lung cancer resistance to susceptibility at the Pas1 locus in Kras2LA2 mice. Nature Genetics. 38(8). 926–930. 60 indexed citations
16.
To, Minh D., Jesús Pérez‐Losada, Jian‐Hua Mao, & Allan Balmain. (2005). Crosstalk Between Pten and Ras Signaling Pathways in Tumor Development. Cell Cycle. 4(9). 1185–1188. 18 indexed citations
17.
To, Minh D., et al.. (2005). LAF‐4 is aberrantly expressed in human breast cancer. International Journal of Cancer. 115(4). 568–574. 10 indexed citations
18.
Mao, Jian‐Hua, Minh D. To, Jesús Pérez‐Losada, et al.. (2004). Mutually exclusive mutations of the Pten and ras pathways in skin tumor progression. Genes & Development. 18(15). 1800–1805. 55 indexed citations
19.
Özçelik, Hilmi, Minh D. To, Jean Couture, Shelley B. Bull, & Irene L. Andrulis. (1998). Preferential allelic expression can lead to reduced expression ofBRCA1 in sporadic breast cancers. International Journal of Cancer. 77(1). 1–6. 48 indexed citations
20.
To, Minh D., Susan J. Done, Mark Redston, & Irene L. Andrulis. (1998). Analysis of mRNA from Microdissected Frozen Tissue Sections without RNA Isolation. American Journal Of Pathology. 153(1). 47–51. 36 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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