L. G. Moore

1.4k citations
42 papers · 1.1k indexed · h-index 21

Impact in

Papers in

L. G. Moore

42 papers receiving 1.0k citations

Peers

L. G. Moore
Comparison fields: 5 of 86
  • Agronomy and Crop Science 370
  • Reproductive Medicine 209
  • Endocrine and Autonomic Systems 100
  • Endocrinology, Diabetes and Metabolism 237
  • Small Animals 104
Replace A. S. McNeilly with:
A. S. McNeilly United Kingdom
A. Locatelli France
M. J. D'Occhio Australia
J. R. McNeilly United Kingdom
Michael J. Fields United States
William E. Ellinwood United States
Rosemarie B. Thau United States
G. Kann France
S. F. Lunn United Kingdom
Bernadette Delaleu France
L. G. Moore relative to A. S. McNeilly United Kingdom A. S. McNeilly's profile →
Citations per field
00.5×1.5×1.8×
A. S. McNeilly · 1×
Citations per year

Countries citing papers authored by L. G. Moore

Since Specialization
Citations

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

Fields of papers citing papers by L. G. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200935
2 200922
3 2005120
4 200213
5 199721
6 199725
7 199635
8 199545
9 19956
10 199525
11 199450
12 199411
13 199420
14 199414
15 199310
16
Disappearance of labelled IGF-2 from plasma of the ovine fetus in late gestation.
19904
17 198918
18 198923
19 19884
20 19873

About L. G. Moore

L. G. Moore is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Physiology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (17 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Reproductive Biology and Fertility (9 papers), Hypothalamic control of reproductive hormones (9 papers), Neuroendocrine regulation and behavior (8 papers), Reproductive System and Pregnancy (4 papers), Animal Genetics and Reproduction (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Agronomy and Crop Science (370 citations), Reproductive Medicine (209 citations), Endocrine and Autonomic Systems (100 citations), Endocrinology, Diabetes and Metabolism (237 citations) and Small Animals (104 citations). L. G. Moore has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include W.B. Watkins, Jennifer L. Juengel, N. L. Hudson, Peter R. Smith, Karen L. Reader, R. J. Fairclough, J. P. Hanrahan, Minna Laitinen, Olli Ritvos and K. P. McNatty. Their work appears in journals such as Journal of Endocrinology, Reproduction, Biology of Reproduction, Veterinary Research Communications and 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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