Daniel E. Carlin
Impact in
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- Bioinformatics and Genomic Networks
- Congenital heart defects research
- Single-cell and spatial transcriptomics
- Pluripotent Stem Cells Research
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- Circadian rhythm and melatonin
Papers in
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- Bioinformatics and Genomic Networks 7
- Congenital heart defects research 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Ideker Trey (6 shared papers)Justin Kwang-Lay Huang (3 shared papers)Jason F. Kreisberg (1 shared paper)Pablo Tamayo (1 shared paper)Michael Yu (1 shared paper)Wei Zhang (1 shared paper)Hannah K. Carter (2 shared papers)Dexter R. Pratt (2 shared papers)
- Journals
- Cell Systems (3 papers)iScience (1 paper)Cell Metabolism (1 paper)Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel E. Carlin
11 papers receiving 662 citations
Daniel E. Carlin's Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 429
- Endocrine and Autonomic Systems 28
- Cancer Research 37
- Physiology 64
- Aging 4
Countries citing papers authored by Daniel E. Carlin
This map shows the geographic impact of Daniel E. Carlin'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 E. Carlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Carlin more than expected).
Fields of papers citing papers by Daniel E. Carlin
This network shows the impact of papers produced by Daniel E. Carlin. 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 E. Carlin. The network helps show where Daniel E. Carlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Carlin, 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 | 2018 | 209 | |
| 2 | Spatially organized cellular communities form the developing human heart Hit paper breakdown → | 2024 | 113 |
| 3 | 2023 | 89 | |
| 4 | 2018 | 69 | |
| 5 | 2017 | 68 | |
| 6 | 2021 | 63 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 11 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 1 |
About Daniel E. Carlin
Daniel E. Carlin is a scholar working on Molecular Biology, Cancer Research, Endocrine and Autonomic Systems, Physiology and Nuclear Energy and Engineering, having authored 11 papers that have together received 669 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Cancer Genomics and Diagnostics (2 papers), Congenital heart defects research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Dietary Effects on Health (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Molecular Biology (429 citations), Endocrine and Autonomic Systems (28 citations), Cancer Research (37 citations), Physiology (64 citations) and Aging (4 citations). Daniel E. Carlin has collaborated with scholars based in United States and Canada. Frequent co-authors include Ideker Trey, Justin Kwang-Lay Huang, Jason F. Kreisberg, Pablo Tamayo, Michael Yu, Wei Zhang, Hannah K. Carter, Dexter R. Pratt, Michelle T. Dow and Sylvia Μ. Evans. Their work appears in journals such as Cell Systems, iScience, Cell Metabolism, 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.