D.E. Grum

1.2k citations
18 papers · 946 · h-index 14

Impact in

    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock

Papers in

    • Reproductive Physiology in Livestock 14
    • Ruminant Nutrition and Digestive Physiology 8
    • Genetic and phenotypic traits in livestock 10

D.E. Grum

18 papers receiving 894 citations

Peers

D.E. Grum
Comparison fields: 5 of 51
  • Agronomy and Crop Science 817
  • Genetics 585
  • Animal Science and Zoology 211
  • Small Animals 66
  • Reproductive Medicine 51
Replace R.M. Akers with:
R.M. Akers United States
R.P. Radcliff United States
I.M. Lacau-Mengido Argentina
J. G. Manns Canada
T.A.M. Kruip Netherlands
P. G. Weston United States
W. D. Oxender United States
Joel Hernández Cerón Mexico
J. F. Quirke Ireland
L.M. Chagas Australia
D.E. Grum relative to R.M. Akers United States R.M. Akers's profile →
Citations per field
00.5×2.9×
R.M. Akers · 1×
Citations per year

Countries citing papers authored by D.E. Grum

Since Specialization
Citations

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

Fields of papers citing papers by D.E. Grum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside D.E. Grum, 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 D.E. Grum Line = papers co-authored together D.E. Grum links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1996192
2 2008179
3 200680
4 199664
5 200163
6 200361
7 200659
8 200656
9 200647
10 200239
11 199434
12 199426
13 199115
14 199514
15 19958
16 19956
17
Hepatic lipid metabolism and peroxisomal beta-oxidation in dairy cows
19942
18 20001

About D.E. Grum

D.E. Grum is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Molecular Biology and Epidemiology, having authored 18 papers that have together received 946 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (14 papers), Genetic and phenotypic traits in livestock (10 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Effects of Environmental Stressors on Livestock (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Metabolism and Genetic Disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Agronomy and Crop Science (817 citations), Genetics (585 citations), Animal Science and Zoology (211 citations), Small Animals (66 citations) and Reproductive Medicine (51 citations). D.E. Grum has collaborated with scholars based in United States and China. Frequent co-authors include M. L. Day, J.K. Drackley, C. L. Gasser, M. L. Mussard, J.J. Veenhuizen, D.W. LaCount, G. A. Bridges, Christopher R. Burke, J. E. Kinder and John D. Cremin. Their work appears in journals such as Journal of Animal Science, Journal of Dairy Science, Theriogenology, Animal Reproduction Science and Kansas Agricultural Experiment Station Research Reports.

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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