Tammy May

565 citations
20 papers · 437 · h-index 10

Impact in

Papers in

Tammy May

20 papers receiving 405 citations

Peers

Tammy May
Comparison fields: 5 of 84
  • Agronomy and Crop Science 122
  • Endocrine and Autonomic Systems 65
  • Reproductive Medicine 51
  • Animal Science and Zoology 53
  • Nutrition and Dietetics 78
Replace Iqbal Hyder with:
Iqbal Hyder India
J. R. Briegel Australia
Tokushi Komatsu Japan
Alberto Sabbioni Italy
Liangzhi Zhang China
Jaime Gallegos–Sánchez Mexico
W. Nowak Poland
Fernanda Marcondes de Rezende Brazil
Tong Fu China
Eleni Dovolou Greece
Tammy May relative to Iqbal Hyder India Iqbal Hyder's profile →
Citations per field
00.5×
Iqbal Hyder · 1×
Citations per year

Countries citing papers authored by Tammy May

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Tammy May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tammy May Line = papers co-authored together Tammy May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1994127
2 199297
3 200039
4 199238
5 198928
6 199618
7 198717
8
Effects of nutrient supplementation in beef cows of poor body condition fed snakeweed (Gutierrezia spp).
199810
9 19939
10 19899
11 19969
12 20049
13 19918
14 20186
15 19904
16 19913
17 19962
18 19982
19 19911
20 20221

About Tammy May

Tammy May is a scholar working on Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology, Nutrition and Dietetics and Infectious Diseases, having authored 20 papers that have together received 437 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (11 papers), Microbial Metabolites in Food Biotechnology (3 papers), Animal Nutrition and Physiology (3 papers), Genetic and phenotypic traits in livestock (3 papers), Agronomic Practices and Intercropping Systems (3 papers), Gut microbiota and health (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (122 citations), Endocrine and Autonomic Systems (65 citations), Reproductive Medicine (51 citations), Animal Science and Zoology (53 citations) and Nutrition and Dietetics (78 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, Teresa M. McShane, D. H. Keisler, Jess L. Miner, Jennifer L. Rychlik, M. S. Kerley, J. E. Williams and Wolfgang Nellen. Their work appears in journals such as Journal of Animal Science, Current Microbiology, Molecular and Cellular Biology, Biology of Reproduction and Animals.

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.

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