Dana Shuey
- Developmental Neuroscience top 10%
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- Effects and risks of endocrine disrupting chemicals 4
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- Prenatal Screening and Diagnostics 3
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- Neuroscience and Neuropharmacology Research 3
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- Pluripotent Stem Cells Research 5
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- Genetic factors in colorectal cancer 3
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- Chronic Myeloid Leukemia Treatments 3
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- SARS-CoV-2 and COVID-19 Research 2
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- Cancer Risks and Factors 2
- Co-authors
- T. W. SadlerJean M. LauderH. TamirJohn M. RogersKenneth H. ElsteinGeorge P. DastonJay W. GoochJoseph W. Gorsuch
- Cited by
- Developmental NeuroscienceHealth, Toxicology and MutagenesisPediatrics, Perinatology and Child Health
- Journals
- Regulatory Toxicology and Pharmacology (4 papers)Toxicological Sciences (3 papers)Toxicology and Applied Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Dana Shuey
30 papers receiving 955 citations
Peers
Comparison fields: 5 of 109
- Developmental Neuroscience 62
- Health, Toxicology and Mutagenesis 202
- Pediatrics, Perinatology and Child Health 202
- Cellular and Molecular Neuroscience 178
- Cancer Research 104
Countries citing papers authored by Dana Shuey
This map shows the geographic impact of Dana Shuey'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 Dana Shuey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Shuey more than expected).
Fields of papers citing papers by Dana Shuey
This network shows the impact of papers produced by Dana Shuey. 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 Dana Shuey. The network helps show where Dana Shuey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dana Shuey, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 22 | |
| 4 | 2020 | 1 | |
| 5 | 2016 | 4 | |
| 6 | 2011 | 3 | |
| 7 | 2011 | 14 | |
| 8 | 2007 | 16 | |
| 9 | 2006 | 11 | |
| 10 | 2006 | 8 | |
| 11 | 2004 | 13 | |
| 12 | 2003 | 28 | |
| 13 | 1995 | 9 | |
| 14 | 1994 | 12 | |
| 15 | 1994 | 60 | |
| 16 | 1993 | 9 | |
| 17 | 1993 | 91 | |
| 18 | 1993 | 17 | |
| 19 | 1992 | 141 | |
| 20 | 1988 | 17 |
About Dana Shuey
Dana Shuey is a scholar working on Hematology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 990 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetic factors in colorectal cancer (3 papers), Prenatal Screening and Diagnostics (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Developmental Neuroscience (62 citations), Health, Toxicology and Mutagenesis (202 citations) and Pediatrics, Perinatology and Child Health (202 citations). Dana Shuey has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include T. W. Sadler, Jean M. Lauder, H. Tamir, John M. Rogers, Kenneth H. Elstein, George P. Daston, Jay W. Gooch, Joseph W. Gorsuch, Andrey I. Nikiforov and Robert M. Zucker. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Toxicological Sciences, Toxicology and Applied Pharmacology, Blood and Placenta.
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.