D. A. Heath

4.2k citations
73 papers · 3.3k · h-index 34

Impact in

Papers in

D. A. Heath

72 papers receiving 3.2k citations

Peers

D. A. Heath
Comparison fields: 5 of 88
  • Agronomy and Crop Science 1.3k
  • Reproductive Medicine 852
  • Public Health, Environmental and Occupational Health 2.4k
  • Genetics 1.2k
  • Molecular Biology 1.1k
Replace N. L. Hudson with:
N. L. Hudson New Zealand
Patrick Blondin Canada
M.P. Boland Ireland
K. P. McNatty New Zealand
H. R. Sawyer United States
K. P. McNatty New Zealand
J.L.H. Ireland United States
J. K. Findlay Australia
C. Perreau France
Susan M. Quirk United States
D. A. Heath relative to N. L. Hudson New Zealand N. L. Hudson's profile →
Citations per field
00.5×1.5×
N. L. Hudson · 1×
Citations per year

Countries citing papers authored by D. A. Heath

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002260
2 2002170
3 1984164
4 1994122
5 2004121
6 2005111
7 2000109
8
Development of the sheep ovary during fetal and early neonatal life and the effect of fecundity genes.
1995108
9
Control of early ovarian follicular development.
1999104
10 199787
11 200285
12 199381
13 198279
14 198676
15 200174
16 198572
17 199972
18 200472
19 200666
20 199363

About D. A. Heath

D. A. Heath is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 73 papers that have together received 3.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (51 papers), Reproductive Physiology in Livestock (31 papers), Renal and related cancers (14 papers), Genetic and phenotypic traits in livestock (13 papers), Animal Genetics and Reproduction (8 papers), TGF-β signaling in diseases (8 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.3k citations), Reproductive Medicine (852 citations), Public Health, Environmental and Occupational Health (2.4k citations), Genetics (1.2k citations) and Molecular Biology (1.1k citations). D. A. Heath has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include N. L. Hudson, Peter R. Smith, Jennifer L. Juengel, Kenneth P. McNatty, K. P. McNatty, S. Lun, K. P. McNatty, Laurel D. Quirke, K. M. Henderson and D. J. Tisdall. Their work appears in journals such as Reproduction, Biology of Reproduction, Animal Reproduction Science, Journal of Endocrinology and Molecular and Cellular 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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