T. Smith

430 citations
25 papers · 340 · h-index 9

Impact in

Papers in

T. Smith

23 papers receiving 322 citations

Peers

T. Smith
Comparison fields: 5 of 54
  • Animal Science and Zoology 226
  • Agronomy and Crop Science 131
  • Small Animals 85
  • Equine 6
  • Genetics 79
Replace Britta Rude with:
Britta Rude United States
Edílson Paes Saraiva Brazil
Josiel Ferreira Brazil
José Ernandes Rufino de Sousa Brazil
Aírton Alencar de Araújo Brazil
I. Loxton Australia
Bagus Priyo Purwanto Indonesia
Jnyanashree Saikia India
Lalrengpuii Sailo India
Pranay Bharti India
T. Smith relative to Britta Rude United States Britta Rude's profile →
Citations per field
00.5×
Britta Rude · 1×
Citations per year

Countries citing papers authored by T. Smith

Since Specialization
Citations

This map shows the geographic impact of T. Smith'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 T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Smith more than expected).

Fields of papers citing papers by T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Smith. 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 T. Smith. The network helps show where T. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside T. Smith, 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 T. Smith Line = papers co-authored together T. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013148
2 200634
3 200633
4 201132
5 201615
6 200913
7
Long-term effect of level of intake and diet composition on the performance of lactating dairy cows. 3. Milk composition and rumen fermentation.
197712
8 198610
9 20158
10 20128
11 20236
12 20164
13 20153
14 20242
15 20192
16 20182
17 20122
18 20241
19 20261
20 20181

About T. Smith

T. Smith is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Genetics, Plant Science and Small Animals, having authored 25 papers that have together received 340 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (7 papers), Effects of Environmental Stressors on Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers), Veterinary Equine Medical Research (4 papers), Reproductive Physiology in Livestock (4 papers), Animal Behavior and Welfare Studies (3 papers), Entomopathogenic Microorganisms in Pest Control (2 papers) and Heat Transfer Mechanisms (2 papers). The work is most often cited by research in Animal Science and Zoology (226 citations), Agronomy and Crop Science (131 citations), Small Animals (85 citations), Equine (6 citations) and Genetics (79 citations). T. Smith has collaborated with scholars based in United States and Canada. Frequent co-authors include Britta Rude, Stephanie Ward, J.A. Parish, Scott T. Willard, A.M. Chapa, R J Williams, Thomas V. Riley, J. P. Cassady, Christian Maltecca and Kent A. Gray. Their work appears in journals such as Journal of Animal Science, Journal of Dairy Science, Livestock Science, Journal of Equine Veterinary Science and Meat 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.

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