Ted E. Natoli
Impact in
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- Computational Drug Discovery Methods
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
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- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 1
- Ubiquitin and proteasome pathways 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Jacob K. Asiedu (1 shared paper)Lev Litichevskiy (1 shared paper)Oana M. Enache (1 shared paper)Joshua Gould (1 shared paper)Rajiv Narayan (1 shared paper)Aravind N. Subramanian (1 shared paper)David L. Lahr (1 shared paper)David Wadden (1 shared paper)
- Journals
- Nature Methods (3 papers)Bioinformatics (1 paper)Communications Biology (1 paper)Cell (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Ted E. Natoli
6 papers receiving 2.6k citations
Ted E. Natoli's Hit Papers
Peers
Comparison fields: 5 of 135
- Computational Theory and Mathematics 632
- Biophysics 156
- Molecular Biology 1.5k
- Cancer Research 261
- Biological Psychiatry 35
Countries citing papers authored by Ted E. Natoli
This map shows the geographic impact of Ted E. 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 E. 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 E. Natoli more than expected).
Fields of papers citing papers by Ted E. Natoli
This network shows the impact of papers produced by Ted E. 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 E. Natoli. The network helps show where Ted E. Natoli may publish in the future.
Co-authors
The 8 scholars most cited alongside Ted E. 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 Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles Hit paper breakdown → | 2017 | 2341 |
| 2 | 2019 | 205 | |
| 3 | 2018 | 45 | |
| 4 | 2018 | 39 | |
| 5 | 2022 | 21 | |
| 6 | 2019 | 9 |
About Ted E. Natoli
Ted E. Natoli is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 6 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (4 papers), Genetic Associations and Epidemiology (2 papers), Computational Drug Discovery Methods (2 papers), Single-cell and spatial transcriptomics (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Computational Theory and Mathematics (632 citations), Biophysics (156 citations), Molecular Biology (1.5k citations), Cancer Research (261 citations) and Biological Psychiatry (35 citations). Ted E. Natoli has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jacob K. Asiedu, Lev Litichevskiy, Oana M. Enache, Joshua Gould, Rajiv Narayan, Aravind N. Subramanian, David L. Lahr and David Wadden. Their work appears in journals such as Nature Methods, Bioinformatics, Communications Biology and Cell.
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.