Tammy May
- Molecular Biology
- Agronomy and Crop Science top 5%
- Nutrition and Dietetics
- Endocrine and Autonomic Systems top 10%
- Infectious Diseases
- Co-authors
- Roderick I. MackieKeith A. GarlebG. C. FaheyD. H. KeislerTeresa M. McShaneJess L. MinerJennifer L. RychlikM. S. Kerley
- Topics
- Ruminant Nutrition and Digestive Physiology (11 papers)Genetic and phenotypic traits in livestock (3 papers)Microbial Metabolites in Food Biotechnology (3 papers)
- Journals
- Molecular and Cellular BiologyJournal of Agricultural and Food ChemistryJournal of Dairy Science
- Partner nations
- United StatesItalyGermany
In The Last Decade
Tammy May
20 papers receiving 405 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 129
- Agronomy and Crop Science 122
- Nutrition and Dietetics 78
- Endocrine and Autonomic Systems 65
- Infectious Diseases 62
Countries citing papers authored by Tammy May
This map shows the geographic impact of Tammy May'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 Tammy May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tammy May more than expected).
Fields of papers citing papers by Tammy May
This network shows the impact of papers produced by Tammy May. 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 Tammy May. The network helps show where Tammy May may publish in the future.
Co-authorship network of co-authors of Tammy May
This figure shows the co-authorship network connecting the top 25 collaborators of Tammy May. A scholar is included among the top collaborators of Tammy May based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tammy May. Tammy May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 39 | |
| 5 | 2 | |
| 6 | Effects of nutrient supplementation in beef cows of poor body condition fed snakeweed (Gutierrezia spp). | 10 |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 9 | |
| 10 | 127 | |
| 11 | 9 | |
| 12 | 38 | |
| 13 | 97 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 28 | |
| 20 | 17 |
About Tammy May
Tammy May is a scholar working on Agronomy and Crop Science, Forestry and Animal Science and Zoology, having authored 20 papers that have together received 437 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (11 papers), Genetic and phenotypic traits in livestock (3 papers) and Microbial Metabolites in Food Biotechnology (3 papers). The work is most often cited by research in Agronomy and Crop Science (122 citations), Endocrine and Autonomic Systems (65 citations) and Reproductive Medicine (51 citations). Tammy May has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Roderick I. Mackie, Keith A. Garleb, G. C. Fahey, D. H. Keisler, Teresa M. McShane, Jess L. Miner, Jennifer L. Rychlik, M. S. Kerley, J. E. Williams and Annette Müller‐Taubenberger. Their work appears in journals such as Molecular and Cellular Biology, Journal of Agricultural and Food Chemistry and Journal of Dairy 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.