G. D. Baird

1.9k citations
38 papers · 1.5k indexed · h-index 22

Impact in

Papers in

G. D. Baird

37 papers receiving 1.4k citations

Peers

G. D. Baird
Comparison fields: 5 of 72
  • Agronomy and Crop Science 1.1k
  • Animal Science and Zoology 272
  • Genetics 583
  • Small Animals 122
  • Clinical Biochemistry 112
Replace EN Bergman with:
EN Bergman
M. A. Lomax United Kingdom
I.M. Reid United States
J.J. Veenhuizen United States
Alexmary Connell United Kingdom
J. Wolff New Zealand
Arthur L. Black United States
Anne Faulkner United Kingdom
H. Hagemeister Germany
B.W. Jesse United States
G. D. Baird relative to EN Bergman EN Bergman's profile →
Citations per field
00.5×3.9×
EN Bergman · 1×
Citations per year

Countries citing papers authored by G. D. Baird

Since Specialization
Citations

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

Fields of papers citing papers by G. D. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside G. D. Baird, 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 G. D. Baird Line = papers co-authored together G. D. Baird links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1983175
2 198335
3 198113
4 1980122
5 197989
6 197941
7 197821
8 197734
9 197722
10 197511
11 197557
12 197414
13 197423
14
Determination of portal and hepatic metabolite production rates in the adult dairy cow.
19746
15 197360
16 197049
17 19693
18 19686
19 196728
20 19661

About G. D. Baird

G. D. Baird is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Clinical Biochemistry, Small Animals and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), Ruminant Nutrition and Digestive Physiology (13 papers), Genetic and phenotypic traits in livestock (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Diet and metabolism studies (8 papers), Effects of Environmental Stressors on Livestock (7 papers), Diet, Metabolism, and Disease (6 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Animal Science and Zoology (272 citations), Genetics (583 citations), Small Animals (122 citations) and Clinical Biochemistry (112 citations). G. D. Baird has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include M. A. Lomax, H.W. Symonds, R. J. Heitzman, K. G. Hibbitt, R. W. Ash, I.M. Reid, S. Shaw, E. N. Bergman, G. D. Hunter and C. J. Roberts. Their work appears in journals such as The Journal of Agricultural Science, Biochemical Journal, British Journal Of Nutrition, Biochimica et Biophysica Acta (BBA) - General Subjects and Veterinary Record.

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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