Ted Liefeld
Impact in
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- Scientific Computing and Data Management
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- Species Distribution and Climate Change
Papers in
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- Single-cell and spatial transcriptomics 4
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Genomics and Phylogenetic Studies 2
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- Scientific Computing and Data Management 3
- Co-authors
- Seán Martin (2 shared papers)Tim W. Clark (1 shared paper)Jill P. Mesirov (7 shared papers)Michael Reich (7 shared papers)Moses M. Hohman (1 shared paper)Pablo Tamayo (2 shared papers)Barbara Hill (3 shared papers)Peili Zhang (1 shared paper)
- Journals
- JCO Clinical Cancer Informatics (1 paper)Bioinformatics (1 paper)Cell Systems (1 paper)Drug Discovery Today (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Ted Liefeld
9 papers receiving 182 citations
Peers
Comparison fields: 5 of 40
- Information Systems and Management 54
- Ecological Modeling 20
- Molecular Biology 145
- Biophysics 12
- Information Systems 35
Countries citing papers authored by Ted Liefeld
This map shows the geographic impact of Ted Liefeld'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 Liefeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Liefeld more than expected).
Fields of papers citing papers by Ted Liefeld
This network shows the impact of papers produced by Ted Liefeld. 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 Liefeld. The network helps show where Ted Liefeld may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Liefeld, 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 | 2004 | 107 | |
| 2 | 2017 | 20 | |
| 3 | 2005 | 20 | |
| 4 | 2005 | 20 | |
| 5 | 2013 | 13 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 2 | |
| 8 | 2013 | 2 | |
| 9 | 2021 | 1 |
About Ted Liefeld
Ted Liefeld is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Genetics and Oncology, having authored 9 papers that have together received 194 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers), Scientific Computing and Data Management (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Research Data Management Practices (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Information Systems and Management (54 citations), Ecological Modeling (20 citations), Molecular Biology (145 citations), Biophysics (12 citations) and Information Systems (35 citations). Ted Liefeld has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Seán Martin, Tim W. Clark, Jill P. Mesirov, Michael Reich, Moses M. Hohman, Pablo Tamayo, Barbara Hill, Peili Zhang, Helga Thorvaldsdóttir and Joshua Gould. Their work appears in journals such as JCO Clinical Cancer Informatics, Bioinformatics, Cell Systems, Drug Discovery Today and Briefings in Bioinformatics.
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.