Daniel S. Gallagher
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Sensory Systems top 10%
Papers in
- Genetics 8
- Animal Genetics and Reproduction 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic and phenotypic traits in livestock 3
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- Molecular Biology Techniques and Applications 2
- Heat shock proteins research 1
- Co-authors
- Amy Lee (1 shared paper)Daniel R. Storm (1 shared paper)Todd Scheuer (1 shared paper)Bin Li (1 shared paper)William A. Catterall (1 shared paper)Scott T. Wong (1 shared paper)James E. Womack (8 shared papers)William S. Modi (4 shared papers)
- Journals
- Mammalian Genome (5 papers)Journal of Molecular Evolution (3 papers)Genomics (2 papers)Nature (1 paper)Journal of Herpetology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel S. Gallagher
15 papers receiving 632 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 290
- Sensory Systems 37
- Molecular Biology 449
- Cardiology and Cardiovascular Medicine 109
- Genetics 139
Countries citing papers authored by Daniel S. Gallagher
This map shows the geographic impact of Daniel S. Gallagher'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 S. Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Gallagher more than expected).
Fields of papers citing papers by Daniel S. Gallagher
This network shows the impact of papers produced by Daniel S. Gallagher. 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 S. Gallagher. The network helps show where Daniel S. Gallagher may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Gallagher, 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 | 1999 | 413 | |
| 2 | 1996 | 80 | |
| 3 | 1993 | 27 | |
| 4 | 1993 | 25 | |
| 5 | 1993 | 20 | |
| 6 | 2004 | 18 | |
| 7 | 1993 | 16 | |
| 8 | 1992 | 15 | |
| 9 | 1986 | 12 | |
| 10 | 1980 | 9 | |
| 11 | 1992 | 7 | |
| 12 | 1992 | 6 | |
| 13 | 1997 | 6 | |
| 14 | A systematic revision of the South American lizard genus Kentropyx (Sauria: Teiidae) | 1979 | 3 |
| 15 | 1996 | 1 |
About Daniel S. Gallagher
Daniel S. Gallagher is a scholar working on Genetics, Molecular Biology, Plant Science, Global and Planetary Change and Ecology, having authored 15 papers that have together received 658 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Chromosomal and Genetic Variations (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers), Amphibian and Reptile Biology (3 papers), Molecular Biology Techniques and Applications (2 papers), Genetic and Environmental Crop Studies (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (290 citations), Sensory Systems (37 citations), Molecular Biology (449 citations), Cardiology and Cardiovascular Medicine (109 citations) and Genetics (139 citations). Daniel S. Gallagher has collaborated with scholars based in United States and Canada. Frequent co-authors include Amy Lee, Daniel R. Storm, Todd Scheuer, Bin Li, William A. Catterall, Scott T. Wong, James E. Womack, William S. Modi, Anne Ryan and James R. Dixon. Their work appears in journals such as Mammalian Genome, Journal of Molecular Evolution, Genomics, Nature and Journal of Herpetology.
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.