Bill Day
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
-
- Reproductive Biology and Fertility
Papers in
-
- Reproductive Biology and Fertility 12
- Genetics 9
- Animal Genetics and Reproduction 8
- Co-authors
- Randall S. Prather (10 shared papers)Hiroaki Funahashi (1 shared paper)Kwang‐Wook Park (5 shared papers)Liangxue Lai (5 shared papers)Clifton N. Murphy (4 shared papers)Qing‐Yuan Sun (4 shared papers)Guangming Wu (3 shared papers)B. Kühholzer (3 shared papers)
- Journals
- Theriogenology (4 papers)Reproduction (3 papers)Biology of Reproduction (3 papers)Journal of Animal Science (3 papers)Biosystems Engineering (2 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Bill Day
20 papers receiving 679 citations
Peers
Comparison fields: 5 of 59
- Reproductive Medicine 179
- Public Health, Environmental and Occupational Health 454
- Genetics 400
- Small Animals 49
- Molecular Biology 391
Countries citing papers authored by Bill Day
This map shows the geographic impact of Bill Day'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 Bill Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Day more than expected).
Fields of papers citing papers by Bill Day
This network shows the impact of papers produced by Bill Day. 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 Bill Day. The network helps show where Bill Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 124 | |
| 2 | Advances in in vitro production of pig embryos. | 1997 | 103 |
| 3 | 2001 | 80 | |
| 4 | 2001 | 78 | |
| 5 | 2003 | 63 | |
| 6 | 2001 | 48 | |
| 7 | 2001 | 41 | |
| 8 | 2001 | 38 | |
| 9 | 2002 | 28 | |
| 10 | 1965 | 22 | |
| 11 | 1986 | 19 | |
| 12 | 1972 | 14 | |
| 13 | 1992 | 11 | |
| 14 | 1994 | 10 | |
| 15 | 1986 | 8 | |
| 16 | 1999 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 1992 | 7 | |
| 19 | 2023 | 3 | |
| 20 | 1999 | 1 |
About Bill Day
Bill Day is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Molecular Biology, Surgery and Reproductive Medicine, having authored 22 papers that have together received 713 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Animal Genetics and Reproduction (8 papers), Pluripotent Stem Cells Research (3 papers), Sperm and Testicular Function (3 papers), Renal and related cancers (3 papers), Animal Behavior and Welfare Studies (2 papers), Reproductive Physiology in Livestock (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Reproductive Medicine (179 citations), Public Health, Environmental and Occupational Health (454 citations), Genetics (400 citations), Small Animals (49 citations) and Molecular Biology (391 citations). Bill Day has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Randall S. Prather, Hiroaki Funahashi, Kwang‐Wook Park, Liangxue Lai, Clifton N. Murphy, Qing‐Yuan Sun, Guangming Wu, B. Kühholzer, Aaron Bonk and Ryan A. Cabot. Their work appears in journals such as Theriogenology, Reproduction, Biology of Reproduction, Journal of Animal Science and Biosystems Engineering.
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.