D. T. Baird

2.8k citations
63 papers · 2.3k indexed · h-index 27

Impact in

Papers in

D. T. Baird

62 papers receiving 2.1k citations

Peers

D. T. Baird
Comparison fields: 5 of 100
  • Reproductive Medicine 866
  • Agronomy and Crop Science 896
  • Public Health, Environmental and Occupational Health 1.0k
  • Genetics 675
  • Endocrinology, Diabetes and Metabolism 314
Replace David W. Schomberg with:
David W. Schomberg United States
George L. Flickinger United States
Patricia B. Coulson United States
W.C. Buhi United States
J. K. Findlay Australia
H. M. Fraser United Kingdom
Masafumi TETSUKA Japan
N. R. Moudgal India
H. R. Sawyer United States
P. Landis Keyes United States
D. T. Baird relative to David W. Schomberg United States David W. Schomberg's profile →
Citations per field
00.5×1.5×2.4×
David W. Schomberg · 1×
Citations per year

Countries citing papers authored by D. T. Baird

Since Specialization
Citations

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

Fields of papers citing papers by D. T. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20042
3 20025
4 1999126
5 199943
6 199868
7 19968
8 198912
9 198929
10 19889
11 198829
12 198742
13 198516
14 198130
15 19778
16 197749
17
Regulation of oogenesis and steroidogenesis
19771
18 197623
19 197514
20 197216

About D. T. Baird

D. T. Baird is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Genetics, Equine and Public Health, Environmental and Occupational Health, having authored 63 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (28 papers), Reproductive Biology and Fertility (13 papers), Genetic and phenotypic traits in livestock (11 papers), Ovarian function and disorders (10 papers), Reproductive System and Pregnancy (7 papers), TGF-β signaling in diseases (6 papers), Estrogen and related hormone effects (6 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Reproductive Medicine (866 citations), Agronomy and Crop Science (896 citations), Public Health, Environmental and Occupational Health (1.0k citations), Genetics (675 citations) and Endocrinology, Diabetes and Metabolism (314 citations). D. T. Baird has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include R. J. Scaramuzzi, K. P. McNatty, A. S. McNeilly, Bruce Campbell, R. Webb, John A. McCracken, J. R. GODING, B. K. Campbell, P.F.A. Van Look and C. S. CORKER. Their work appears in journals such as Journal of Endocrinology, Reproduction, European Journal of Obstetrics & Gynecology and Reproductive Biology, International Journal of Gynecology & Obstetrics and Clinical Endocrinology.

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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