Milton To
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Ubiquitin and proteasome pathways 4
- Mitochondrial Function and Pathology 2
- Protein Degradation and Inhibitors 2
- Oncology 3
- CAR-T cell therapy research 3
- Co-authors
- James A. Olzmann (8 shared papers)Daniel K. Nomura (6 shared papers)Carl C. Ward (2 shared papers)Scott J. Dixon (1 shared paper)Amy Tarangelo (1 shared paper)Kevin Cho (1 shared paper)Leslie Magtanong (1 shared paper)Gary J. Patti (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Cell chemical biology (2 papers)Developmental Cell (1 paper)Nature Cancer (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Milton To
13 papers receiving 1.7k citations
Milton To's Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 539
- Biochemistry 253
- Pulmonary and Respiratory Medicine 626
- Molecular Biology 1.1k
- Cell Biology 178
Countries citing papers authored by Milton To
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
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-authors
The 25 scholars most cited alongside Milton To, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exogenous Monounsaturated Fatty Acids Promote a Ferroptosis-Resistant Cell State Hit paper breakdown → | 2019 | 830 |
| 2 | 2019 | 313 | |
| 3 | 2017 | 273 | |
| 4 | 2019 | 70 | |
| 5 | 2023 | 60 | |
| 6 | 2014 | 58 | |
| 7 | 2018 | 28 | |
| 8 | 2016 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 1 |
About Milton To
Milton To is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Epidemiology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Mitochondrial Function and Pathology (2 papers), Protein Degradation and Inhibitors (2 papers), Lipid metabolism and biosynthesis (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (539 citations), Biochemistry (253 citations), Pulmonary and Respiratory Medicine (626 citations), Molecular Biology (1.1k citations) and Cell Biology (178 citations). Milton To has collaborated with scholars based in United States, Germany and China. Frequent co-authors include James A. Olzmann, Daniel K. Nomura, Carl C. Ward, Scott J. Dixon, Amy Tarangelo, Kevin Cho, Leslie Magtanong, Gary J. Patti, Jennifer Yinuo Cao and Giovanni C. Forcina. Their work appears in journals such as Molecular Biology of the Cell, Cell chemical biology, Developmental Cell, Nature Cancer and Nature Chemical Biology.
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.