Heather Talbott
Impact in
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
Papers in
-
- Reproductive Physiology in Livestock 6
- Genetics 6
- Genetic and phenotypic traits in livestock 5
- Co-authors
- John S. Davis (13 shared papers)Andrea S. Cupp (10 shared papers)Asher J. Albertson (2 shared papers)Xiaoying Hou (7 shared papers)Donal C. Skinner (2 shared papers)Jennifer R. Wood (8 shared papers)Robert A. Cushman (6 shared papers)Alyson S. Smith (1 shared paper)
- Journals
- The FASEB Journal (3 papers)Molecular and Cellular Endocrinology (2 papers)Data in Brief (2 papers)Journal of Neuroendocrinology (1 paper)The Cerebellum (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Heather Talbott
15 papers receiving 335 citations
Peers
Comparison fields: 5 of 65
- Reproductive Medicine 98
- Agronomy and Crop Science 123
- Biochemistry 38
- Behavioral Neuroscience 13
- Equine 6
Countries citing papers authored by Heather Talbott
This map shows the geographic impact of Heather Talbott'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 Heather Talbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Talbott more than expected).
Fields of papers citing papers by Heather Talbott
This network shows the impact of papers produced by Heather Talbott. 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 Heather Talbott. The network helps show where Heather Talbott may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Talbott, 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 | 2009 | 91 | |
| 2 | 2016 | 41 | |
| 3 | 2017 | 32 | |
| 4 | 2013 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2014 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2008 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 10 | |
| 12 | 2017 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2024 | 1 |
About Heather Talbott
Heather Talbott is a scholar working on Agronomy and Crop Science, Genetics, Biochemistry, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 15 papers that have together received 351 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (6 papers), Lipid metabolism and biosynthesis (5 papers), Genetic and phenotypic traits in livestock (5 papers), Research in Cotton Cultivation (3 papers), Hypothalamic control of reproductive hormones (2 papers), Sunflower and Safflower Cultivation (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Reproductive Medicine (98 citations), Agronomy and Crop Science (123 citations), Biochemistry (38 citations), Behavioral Neuroscience (13 citations) and Equine (6 citations). Heather Talbott has collaborated with scholars based in United States and China. Frequent co-authors include John S. Davis, Andrea S. Cupp, Asher J. Albertson, Xiaoying Hou, Donal C. Skinner, Jennifer R. Wood, Robert A. Cushman, Alyson S. Smith, Amy M. Navratil and Michele R. Plewes. Their work appears in journals such as The FASEB Journal, Molecular and Cellular Endocrinology, Data in Brief, Journal of Neuroendocrinology and The Cerebellum.
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.