Ted Natoli
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
Papers in
-
- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 1
- Bioinformatics and Genomic Networks 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Todd R. Golub (3 shared papers)Aravind Subramanian (6 shared papers)Amy Deik (2 shared papers)Ahmed Ali (2 shared papers)Jennifer A. Roth (2 shared papers)Andrew Tang (2 shared papers)L Petronio (2 shared papers)Cong Zhu (2 shared papers)
- Journals
- Bioinformatics (1 paper)Cell Systems (1 paper)Nature (1 paper)PLoS Biology (1 paper)Environmental Health Perspectives (1 paper)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Ted Natoli
9 papers receiving 512 citations
Ted Natoli's Hit Papers
Peers
Comparison fields: 5 of 83
- Biophysics 58
- Cancer Research 129
- Molecular Biology 312
- Oncology 112
- Aging 7
Countries citing papers authored by Ted Natoli
This map shows the geographic impact of Ted Natoli'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 Ted Natoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Natoli more than expected).
Fields of papers citing papers by Ted Natoli
This network shows the impact of papers produced by Ted Natoli. 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 Ted Natoli. The network helps show where Ted Natoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Natoli, 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 | A metastasis map of human cancer cell lines Hit paper breakdown → | 2020 | 285 |
| 2 | 2017 | 130 | |
| 3 | 2022 | 59 | |
| 4 | 2019 | 19 | |
| 5 | 2022 | 9 | |
| 6 | 2019 | 9 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 0 |
About Ted Natoli
Ted Natoli is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine, Spectroscopy and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 518 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Ferroptosis and cancer prognosis (2 papers), Single-cell and spatial transcriptomics (2 papers), Diabetes Management and Research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Biophysics (58 citations), Cancer Research (129 citations), Molecular Biology (312 citations), Oncology (112 citations) and Aging (7 citations). Ted Natoli has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Todd R. Golub, Aravind Subramanian, Amy Deik, Ahmed Ali, Jennifer A. Roth, Andrew Tang, L Petronio, Cong Zhu, Kwanghun Chung and Clary B. Clish. Their work appears in journals such as Bioinformatics, Cell Systems, Nature, PLoS Biology and Environmental Health Perspectives.
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.