M.E. Tooker

1.5k total citations
20 papers, 1.1k citations indexed

About

M.E. Tooker is a scholar working on Genetics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, M.E. Tooker has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 9 papers in Plant Science and 5 papers in Agronomy and Crop Science. Recurrent topics in M.E. Tooker's work include Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Genetics and Plant Breeding (8 papers). M.E. Tooker is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Genetics and Plant Breeding (8 papers). M.E. Tooker collaborates with scholars based in United States, United Kingdom and Italy. M.E. Tooker's co-authors include P.M. VanRaden, G.R. Wiggans, K.M. Olson, John B. Cole, H.D. Norman, R.H. Miller, M.T. Kuhn, A.H. Sanders, T.A. Cooper and Derek M. Bickhart and has published in prestigious journals such as Journal of Dairy Science, Genetics Selection Evolution and Bulletin - International Bull Evaluation Service/Interbull bulletin.

In The Last Decade

M.E. Tooker

20 papers receiving 1.0k citations

Peers

M.E. Tooker
Comparison fields: 5 of 44
  • Genetics 1.0k
  • Agronomy and Crop Science 436
  • Plant Science 360
  • Animal Science and Zoology 149
  • Cancer Research 117
Replace Gert Pedersen Aamand with:
Gert Pedersen Aamand Denmark
Amir Rashidi Iran
Franz R. Seefried Switzerland
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D.A. Grossi Brazil
Natascha Vukasinovic United States
Daniel Jordan de Abreu Santos Brazil
Selma Forni Brazil
J. C. do C. Panetto Brazil
L. Vostrý Czechia
Gert Pedersen Aamand Denmark View profile →
Citations per field, relative to M.E. Tooker
M.E. Tooker · 1×
Citations per year, relative to M.E. Tooker
M.E. Tooker · 1×

Countries citing papers authored by M.E. Tooker

Since Specialization
Citations

This map shows the geographic impact of M.E. Tooker'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 M.E. Tooker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.E. Tooker more than expected).

Fields of papers citing papers by M.E. Tooker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Tooker. 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 M.E. Tooker. The network helps show where M.E. Tooker may publish in the future.

Co-authorship network of co-authors of M.E. Tooker

This figure shows the co-authorship network connecting the top 25 collaborators of M.E. Tooker. A scholar is included among the top collaborators of M.E. Tooker 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 M.E. Tooker. M.E. Tooker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2
Extending genomic evaluation to crossbred dairy cattle: US implementation
2
3
Extreme antagonistic pleiotropy effects of DGAT1 on fat, milk and protein yields
2
4
Development of national genomic evaluations for health traits in U.S. Holsteins
1
5 18
6 120
7
Selection of sequence variants to improve genomic predictions
1
8
Value of selecting for cow and calf livability
9
9
Comparison of domestic and foreign genotypes by country and continent
1
10 45
11 160
12 90
13 53
14 118
15 36
16 57
17
Effects of allele frequency estimation on genomic predictions and inbreeding coefficients.
4
18 50
19 32
20 254

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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