Ted Natoli
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
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- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Todd R. Golub (3 shared papers)Aravind Subramanian (6 shared papers)Andrew Tang (2 shared papers)Matthew G. Vander Heiden (2 shared papers)Clary B. Clish (2 shared papers)L Petronio (2 shared papers)Rakesh K. Jain (2 shared papers)Kwanghun Chung (2 shared papers)
- Journals
- Toxicological Sciences (1 paper)PLoS Biology (1 paper)Genes & Diseases (1 paper)Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Ted Natoli
9 papers receiving 490 citations
Ted Natoli's Hit Papers
Peers
Comparison fields: 5 of 85
- Biophysics 54
- Cancer Research 139
- Molecular Biology 328
- Oncology 123
- 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 | 272 |
| 2 | 2017 | 128 | |
| 3 | 2022 | 55 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 8 | |
| 6 | 2022 | 7 | |
| 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 Cancer Research, having authored 10 papers that have together received 495 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Computational Drug Discovery Methods (3 papers), Ferroptosis and cancer prognosis (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (1 paper), Cell Image Analysis Techniques (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Biophysics (54 citations), Cancer Research (139 citations), Molecular Biology (328 citations), Oncology (123 citations) and Aging (7 citations). Ted Natoli has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Todd R. Golub, Aravind Subramanian, Andrew Tang, Matthew G. Vander Heiden, Clary B. Clish, L Petronio, Rakesh K. Jain, Kwanghun Chung, Cong Zhu and Vamsi Mangena. Their work appears in journals such as Toxicological Sciences, PLoS Biology, Genes & Diseases, Bioinformatics and Nature.
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.