David W. Goad
Impact in
- Agronomy and Crop Science top 2%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
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- Photonic and Optical Devices
- Advanced Fiber Optic Sensors
Papers in
-
- Reproductive Physiology in Livestock 3
- Genetics 4
- Genetic and phenotypic traits in livestock 3
- Genomic variations and chromosomal abnormalities 2
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- T. G. Nagaraja (1 shared paper)CARLA L. GOAD (1 shared paper)Jerry R. Malayer (8 shared papers)Akhilesh Ramachandran (3 shared papers)Pauline Y. Aad (2 shared papers)LEON J. SPICER (2 shared papers)Rodney D. Geisert (3 shared papers)Dave Gill (1 shared paper)
- Journals
- Biology of Reproduction (3 papers)Electrophoresis (2 papers)Journal of Animal Science (1 paper)Domestic Animal Endocrinology (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United States
In The Last Decade
David W. Goad
15 papers receiving 610 citations
Peers
Comparison fields: 5 of 63
- Agronomy and Crop Science 288
- Electrical and Electronic Engineering 158
- Animal Science and Zoology 25
- Equine 4
- Bioengineering 4
Countries citing papers authored by David W. Goad
This map shows the geographic impact of David W. Goad'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 David W. Goad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Goad more than expected).
Fields of papers citing papers by David W. Goad
This network shows the impact of papers produced by David W. Goad. 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 David W. Goad. The network helps show where David W. Goad may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. Goad, 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 | 1998 | 203 | |
| 2 | 2007 | 190 | |
| 3 | 2001 | 67 | |
| 4 | 2004 | 49 | |
| 5 | 2003 | 46 | |
| 6 | 2003 | 16 | |
| 7 | 2005 | 16 | |
| 8 | 2002 | 15 | |
| 9 | 1994 | 12 | |
| 10 | 2002 | 11 | |
| 11 | 2004 | 10 | |
| 12 | 1995 | 3 | |
| 13 | 2008 | 3 | |
| 14 | 2009 | 3 | |
| 15 | 2025 | 3 |
About David W. Goad
David W. Goad is a scholar working on Agronomy and Crop Science, Genetics, Endocrinology, Diabetes and Metabolism, Biochemistry and Animal Science and Zoology, having authored 15 papers that have together received 647 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (3 papers), Genetic and phenotypic traits in livestock (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Bacillus and Francisella bacterial research (1 paper), Meat and Animal Product Quality (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Agronomy and Crop Science (288 citations), Electrical and Electronic Engineering (158 citations), Animal Science and Zoology (25 citations), Equine (4 citations) and Bioengineering (4 citations). David W. Goad has collaborated with scholars based in United States. Frequent co-authors include T. G. Nagaraja, CARLA L. GOAD, Jerry R. Malayer, Akhilesh Ramachandran, Pauline Y. Aad, LEON J. SPICER, Rodney D. Geisert, Dave Gill, Brent Little and O. King. Their work appears in journals such as Biology of Reproduction, Electrophoresis, Journal of Animal Science, Domestic Animal Endocrinology and Mammalian Genome.
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.