Daniel E. Carlin
Impact in
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- Circadian rhythm and melatonin
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Congenital heart defects research 2
- Gene Regulatory Network Analysis 2
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Trey Ideker (6 shared papers)Justin K. Huang (4 shared papers)Jason F. Kreisberg (2 shared papers)Pablo Tamayo (2 shared papers)Michael Yu (2 shared papers)Wei Zhang (1 shared paper)Dexter Pratt (2 shared papers)Hannah Carter (2 shared papers)
- Journals
- Bioinformatics (1 paper)Cell Metabolism (1 paper)Cell Systems (1 paper)PLoS Computational Biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Daniel E. Carlin
11 papers receiving 569 citations
Daniel E. Carlin's Hit Papers
Peers
Comparison fields: 5 of 91
- Aging 13
- Endocrine and Autonomic Systems 39
- Molecular Biology 385
- Biological Psychiatry 11
- Cancer Research 48
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 | 185 | |
| 2 | Spatially organized cellular communities form the developing human heart Hit paper breakdown → | 2024 | 85 |
| 3 | 2023 | 80 | |
| 4 | 2017 | 63 | |
| 5 | 2018 | 61 | |
| 6 | 2021 | 57 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2017 | 10 | |
| 10 | 2018 | 1 | |
| 11 | Computational evaluation and derivation of biological networks in cancer and stem cells | 2014 | 1 |
| 12 | 2026 | 0 |
About Daniel E. Carlin
Daniel E. Carlin is a scholar working on Molecular Biology, Genetics, Endocrine and Autonomic Systems, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 574 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Circadian rhythm and melatonin (2 papers), Cancer Genomics and Diagnostics (2 papers), Congenital heart defects research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Gene Regulatory Network Analysis (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Aging (13 citations), Endocrine and Autonomic Systems (39 citations), Molecular Biology (385 citations), Biological Psychiatry (11 citations) and Cancer Research (48 citations). Daniel E. Carlin has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Trey Ideker, Justin K. Huang, Jason F. Kreisberg, Pablo Tamayo, Michael Yu, Wei Zhang, Dexter Pratt, Hannah Carter, Barry Demchak and Rafael Bejar. Their work appears in journals such as Bioinformatics, Cell Metabolism, Cell Systems, PLoS Computational Biology 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.