Daniel N. Baker
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
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- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
- Gut microbiota and health
Papers in
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- Genomics and Phylogenetic Studies 4
- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Algorithms and Data Compression 2
- Co-authors
- Florian P. Breitwieser (1 shared paper)Steven L. Salzberg (1 shared paper)Robert Rostomily (1 shared paper)Mary P. Bronner (1 shared paper)Jay Shendure (1 shared paper)Jacob O. Kitzman (1 shared paper)Noah C. Welker (1 shared paper)Hunter R. Underhill (1 shared paper)
- Journals
- Genome biology (2 papers)Bioinformatics (2 papers)Genome Research (1 paper)PLoS Genetics (1 paper)Biostatistics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel N. Baker
8 papers receiving 821 citations
Daniel N. Baker's Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 422
- Molecular Biology 512
- Oncology 167
- Ecology 124
- Pathology and Forensic Medicine 86
Countries citing papers authored by Daniel N. Baker
This map shows the geographic impact of Daniel N. Baker'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 Daniel N. Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Baker more than expected).
Fields of papers citing papers by Daniel N. Baker
This network shows the impact of papers produced by Daniel N. Baker. 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 Daniel N. Baker. The network helps show where Daniel N. Baker may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel N. Baker, 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 | Fragment Length of Circulating Tumor DNA Hit paper breakdown → | 2016 | 474 |
| 2 | 2018 | 250 | |
| 3 | 2019 | 74 | |
| 4 | 2021 | 14 | |
| 5 | 2023 | 11 | |
| 6 | 2021 | 4 | |
| 7 | 2025 | 2 | |
| 8 | 2022 | 1 |
About Daniel N. Baker
Daniel N. Baker is a scholar working on Molecular Biology, Artificial Intelligence, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Computational Mechanics, having authored 8 papers that have together received 830 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (3 papers), Single-cell and spatial transcriptomics (2 papers), Algorithms and Data Compression (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Genetic Associations and Epidemiology (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (422 citations), Molecular Biology (512 citations), Oncology (167 citations), Ecology (124 citations) and Pathology and Forensic Medicine (86 citations). Daniel N. Baker has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Florian P. Breitwieser, Steven L. Salzberg, Robert Rostomily, Mary P. Bronner, Jay Shendure, Jacob O. Kitzman, Noah C. Welker, Hunter R. Underhill, Sabine Hellwig and Riza M. Daza. Their work appears in journals such as Genome biology, Bioinformatics, Genome Research, PLoS Genetics and Biostatistics.
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.