L. G. Moore

41 papers receiving 1.0k citations

Peers

L. G. Moore
Comparison fields: 5 of 83
  • Agronomy and Crop Science 367
  • Reproductive Medicine 193
  • Endocrine and Autonomic Systems 97
  • Endocrinology, Diabetes and Metabolism 230
  • Public Health, Environmental and Occupational Health 390
Replace A. S. McNeilly with:
A. S. McNeilly United Kingdom
J. R. McNeilly United Kingdom
A. Locatelli France
M. J. D'Occhio Australia
Michael J. Fields United States
William E. Ellinwood United States
G. Kann France
Rosemarie B. Thau United States
Bernadette Delaleu France
Lori A. Thrun United States
L. G. Moore relative to A. S. McNeilly United Kingdom A. S. McNeilly's profile →
Citations per field
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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

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004127
2 2005120
3 198066
4 200666
5 199450
6 199545
7 198942
8 198440
9 199635
10 199435
11 200934
12 199725
13 198625
14 199525
15 198425
16 198923
17 200222
18 200922
19 199721
20 199121

About L. G. Moore

L. G. Moore is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Public Health, Environmental and Occupational Health and Social Psychology, 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), Hypothalamic control of reproductive hormones (9 papers), Reproductive Biology and Fertility (9 papers), Neuroendocrine regulation and behavior (8 papers), Reproductive System and Pregnancy (4 papers), Animal Genetics and Reproduction (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Agronomy and Crop Science (367 citations), Reproductive Medicine (193 citations), Endocrine and Autonomic Systems (97 citations), Endocrinology, Diabetes and Metabolism (230 citations) and Public Health, Environmental and Occupational Health (390 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, Karen L. Reader, Peter R. Smith, R. J. Fairclough, Minna Laitinen, K. P. McNatty, Olli Ritvos and J. P. Hanrahan. Their work appears in journals such as Journal of Endocrinology, Reproduction, Biology of Reproduction, Prostaglandins and General and Comparative 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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