John Underwood
Impact in
- Agronomy and Crop Science top 1%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Milk Quality and Mastitis in Dairy Cows
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock
Papers in
-
- Ruminant Nutrition and Digestive Physiology 4
- Reproductive Physiology in Livestock 4
- Genetics 3
- Virus-based gene therapy research 2
- Genetic and phenotypic traits in livestock 1
- Co-authors
- J.K. Drackley (4 shared papers)N.B. Litherland (2 shared papers)H.M. Dann (2 shared papers)Juan J. Loor (1 shared paper)Neil J. Douglas (1 shared paper)J.W. McFadden (1 shared paper)Antonio D’Angelo (1 shared paper)Massimo Bionaz (1 shared paper)
- Journals
- Journal of Dairy Science (2 papers)American Journal Of Pathology (1 paper)The FASEB Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)Italian Journal of Animal Science (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
John Underwood
8 papers receiving 563 citations
Peers
Comparison fields: 5 of 58
- Agronomy and Crop Science 422
- Animal Science and Zoology 124
- Small Animals 73
- Genetics 274
- Nutrition and Dietetics 30
Countries citing papers authored by John Underwood
This map shows the geographic impact of John Underwood'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 John Underwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Underwood more than expected).
Fields of papers citing papers by John Underwood
This network shows the impact of papers produced by John Underwood. 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 John Underwood. The network helps show where John Underwood may publish in the future.
Co-authors
The 25 scholars most cited alongside John Underwood, 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 | 2005 | 240 | |
| 2 | 2006 | 211 | |
| 3 | 2004 | 73 | |
| 4 | 2004 | 45 | |
| 5 | 2005 | 10 | |
| 6 | 2022 | 4 | |
| 7 | Protein Nutrition of Dairy Cows During the Transition Period | 2003 | 4 |
| 8 | What are the real costs for staff-assisted home dialysis? | 1990 | 1 |
| 9 | 2022 | 0 |
About John Underwood
John Underwood is a scholar working on Agronomy and Crop Science, Genetics, Small Animals, Molecular Biology and Oncology, having authored 9 papers that have together received 588 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (4 papers), Reproductive Physiology in Livestock (4 papers), Animal health and immunology (2 papers), Virus-based gene therapy research (2 papers), Genetic and phenotypic traits in livestock (1 paper), Lysosomal Storage Disorders Research (1 paper), Genetic factors in colorectal cancer (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Agronomy and Crop Science (422 citations), Animal Science and Zoology (124 citations), Small Animals (73 citations), Genetics (274 citations) and Nutrition and Dietetics (30 citations). John Underwood has collaborated with scholars based in United States, Canada and India. Frequent co-authors include J.K. Drackley, N.B. Litherland, H.M. Dann, Juan J. Loor, Neil J. Douglas, J.W. McFadden, Antonio D’Angelo, Massimo Bionaz, Jeffrey A. Medin and Takeya Sato. Their work appears in journals such as Journal of Dairy Science, American Journal Of Pathology, The FASEB Journal, Proceedings of the National Academy of Sciences and Italian Journal of Animal Science.
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.