Milton To

2.3k total citations · 1 hit paper
13 papers, 1.6k citations indexed

About

Milton To is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Milton To has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Milton To's work include Ubiquitin and proteasome pathways (4 papers), CAR-T cell therapy research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Milton To is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), CAR-T cell therapy research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Milton To collaborates with scholars based in United States, Russia and Germany. Milton To's co-authors include James A. Olzmann, Daniel K. Nomura, Carl C. Ward, Amy Tarangelo, Kevin Cho, Pin‐Joe Ko, Gary J. Patti, Jennifer Yinuo Cao, Giovanni C. Forcina and Leslie Magtanong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Developmental Cell.

In The Last Decade

Milton To

13 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exogenous Monounsaturated Fatty Acids Promote a Ferroptosis-Resistant Cell State

2019 780 citations Leslie Magtanong, Pin‐Joe Ko et al. Cell chemical biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Milton To United States	10	1.1k	590	571	247	209	13	1.6k
Sofi Eriksson Sweden	16	1.2k 1.1×	184 0.3×	352 0.6×	134 0.5×	505 2.4×	20	1.7k
Carl C. Ward United States	11	1.5k 1.4×	590 1.0×	559 1.0×	57 0.2×	355 1.7×	12	2.0k
Takahito Hara Japan	24	757 0.7×	819 1.4×	430 0.8×	49 0.2×	220 1.1×	51	1.7k
Xiaobing Deng United States	24	1.2k 1.1×	222 0.4×	300 0.5×	63 0.3×	436 2.1×	39	1.8k
Yongmei Feng United States	18	1.2k 1.0×	104 0.2×	497 0.9×	163 0.7×	335 1.6×	34	1.5k
John M. Peltier United States	11	1.2k 1.1×	884 1.5×	658 1.2×	35 0.1×	161 0.8×	17	1.8k
William P. Katt United States	22	946 0.8×	147 0.2×	602 1.1×	132 0.5×	315 1.5×	38	1.5k
Ferdinando Chiaradonna Italy	29	1.5k 1.4×	98 0.2×	1.1k 1.9×	130 0.5×	446 2.1×	47	2.2k
Sushant K. Kachhap United States	21	1.4k 1.3×	305 0.5×	442 0.8×	29 0.1×	405 1.9×	48	1.9k
Esther A. Zaal Netherlands	16	922 0.8×	102 0.2×	402 0.7×	76 0.3×	255 1.2×	42	1.3k

Countries citing papers authored by Milton To

Since Specialization

Citations

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

Fields of papers citing papers by Milton To

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milton To

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

All Works

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13 of 13 papers shown

Cattaruzza, Fiore, Milton To, Caitlin Koski, et al.. (2023). Precision-activated T-cell engagers targeting HER2 or EGFR and CD3 mitigate on-target, off-tumor toxicity for immunotherapy in solid tumors. Nature Cancer. 4(4). 485–501. 50 indexed citations

Deol, Kirandeep K., et al.. (2021). Optimized protocol for the identification of lipid droplet proteomes using proximity labeling proteomics in cultured human cells. STAR Protocols. 2(2). 100579–100579. 12 indexed citations

To, Milton, Michael Fox, Fiore Cattaruzza, et al.. (2021). Abstract P193: AMX-818, a novel prodrug HER2-XPAT T-cell engager (TCE) with potent T cell activation, proteolytic cleavage and efficacy in xenograft tumors, and wide safety margins in NHP (Non Human Primate). Molecular Cancer Therapeutics. 20(12_Supplement). P193–P193. 4 indexed citations

Cattaruzza, Fiore, Caitlin Koski, Milton To, et al.. (2021). Abstract 1824: HER2-XPAT, a novel protease-activatable T-cell engager (TCE) with potent T-cell activation and efficacy in solid tumors and large safety margins in non-human primate (NHP). Cancer Research. 81(13_Supplement). 1824–1824. 1 indexed citations

Spradlin, Jessica N., Xirui Hu, Carl C. Ward, et al.. (2019). Harnessing the anti-cancer natural product nimbolide for targeted protein degradation. Nature Chemical Biology. 15(7). 747–755. 294 indexed citations

Berdan, Charles A., Raymond Ho, Milton To, et al.. (2019). Parthenolide Covalently Targets and Inhibits Focal Adhesion Kinase in Breast Cancer Cells. Cell chemical biology. 26(7). 1027–1035.e22. 69 indexed citations

Magtanong, Leslie, Pin‐Joe Ko, Milton To, et al.. (2019). Exogenous Monounsaturated Fatty Acids Promote a Ferroptosis-Resistant Cell State. Cell chemical biology. 26(3). 420–432.e9. 780 indexed citations breakdown →

Barajas, Jesus F., Maren Wehrs, Milton To, et al.. (2019). Isolation and Characterization of Bacterial Cellulase Producers for Biomass Deconstruction: A Microbiology Laboratory Course. Journal of Microbiology and Biology Education. 20(2). 6 indexed citations

Huang, Edmond Y., et al.. (2018). A VCP inhibitor substrate trapping approach (VISTA) enables proteomic profiling of endogenous ERAD substrates. Molecular Biology of the Cell. 29(9). 1021–1030. 27 indexed citations

10.

Bersuker, Kirill, Milton To, Steffen J. Sahl, et al.. (2017). A Proximity Labeling Strategy Provides Insights into the Composition and Dynamics of Lipid Droplet Proteomes. Developmental Cell. 44(1). 97–112.e7. 260 indexed citations

11.

To, Milton, et al.. (2017). Chemoproteomics-Enabled Covalent Ligand Screening Reveals a Thioredoxin-Caspase 3 Interaction Disruptor That Impairs Breast Cancer Pathogenicity. ACS Chemical Biology. 12(10). 2522–2528. 23 indexed citations

12.

To, Milton, et al.. (2016). Lipid disequilibrium disrupts ER proteostasis by impairing ERAD substrate glycan trimming and dislocation. Molecular Biology of the Cell. 28(2). 270–284. 24 indexed citations

13.

Rosenbloom, Alyssa, Sang-Hyuk Lee, Milton To, et al.. (2014). Optimized two-color super resolution imaging of Drp1 during mitochondrial fission with a slow-switching Dronpa variant. Proceedings of the National Academy of Sciences. 111(36). 13093–13098. 59 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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