Daniel Stephen Gallagher
Impact in
-
- 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
-
- Milk Quality and Mastitis in Dairy Cows 1
- Co-authors
- Bin Li (1 shared paper)Amy Lee (1 shared paper)William A. Catterall (1 shared paper)Daniel R. Storm (1 shared paper)Todd Scheuer (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)Journal of Herpetology (1 paper)Copeia (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel Stephen Gallagher
14 papers receiving 634 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 293
- Sensory Systems 37
- Molecular Biology 451
- Cardiology and Cardiovascular Medicine 110
- Genetics 134
Countries citing papers authored by Daniel Stephen Gallagher
This map shows the geographic impact of Daniel Stephen 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 Stephen 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 Stephen Gallagher more than expected).
Fields of papers citing papers by Daniel Stephen Gallagher
This network shows the impact of papers produced by Daniel Stephen 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 Stephen Gallagher. The network helps show where Daniel Stephen Gallagher may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stephen 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 | 417 | |
| 2 | 1996 | 78 | |
| 3 | 1993 | 26 | |
| 4 | 1993 | 24 | |
| 5 | 1993 | 20 | |
| 6 | 2004 | 18 | |
| 7 | 1992 | 16 | |
| 8 | 1993 | 16 | |
| 9 | 1986 | 11 | |
| 10 | 1980 | 9 | |
| 11 | 1992 | 7 | |
| 12 | 1992 | 6 | |
| 13 | 1997 | 6 | |
| 14 | 1996 | 1 |
About Daniel Stephen Gallagher
Daniel Stephen Gallagher is a scholar working on Genetics, Agronomy and Crop Science, Plant Science, Molecular Biology and Global and Planetary Change, having authored 14 papers that have together received 655 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 (2 papers), Molecular Biology Techniques and Applications (2 papers), CRISPR and Genetic Engineering (1 paper) and Milk Quality and Mastitis in Dairy Cows (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (293 citations), Sensory Systems (37 citations), Molecular Biology (451 citations), Cardiology and Cardiovascular Medicine (110 citations) and Genetics (134 citations). Daniel Stephen Gallagher has collaborated with scholars based in United States and Canada. Frequent co-authors include Bin Li, Amy Lee, William A. Catterall, Daniel R. Storm, Todd Scheuer, Scott T. Wong, James E. Womack, William S. Modi, Anne Marie Ryan and James R. Dixon. Their work appears in journals such as Mammalian Genome, Journal of Molecular Evolution, Genomics, Journal of Herpetology and Copeia.
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.