GE Lamming

1.2k citations
11 papers · 963 · h-index 6

Impact in

    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock

Papers in

GE Lamming

9 papers receiving 913 citations

Peers

GE Lamming
Comparison fields: 5 of 53
  • Agronomy and Crop Science 868
  • Genetics 598
  • Immunology 264
  • Public Health, Environmental and Occupational Health 316
  • Reproductive Medicine 80
Replace Giovanni M. Báez with:
Giovanni M. Báez United States
F. Carter Ireland
T Díaz United States
R. A. Parr Australia
R. C. Fry Australia
J. R. Chenault United States
P. L. J. Monteiro Brazil
M.-J. Thatcher United States
T.J. Acosta Japan
G. A. Bridges United States
GE Lamming relative to Giovanni M. Báez United States Giovanni M. Báez's profile →
Citations per field
00.5×1.5×
Giovanni M. Báez · 1×
Citations per year

Countries citing papers authored by GE Lamming

Since Specialization
Citations

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

Fields of papers citing papers by GE Lamming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by GE Lamming. 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 GE Lamming. The network helps show where GE Lamming may publish in the future.

Co-authors

The 7 scholars most cited alongside GE Lamming, 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 GE Lamming Line = papers co-authored together GE Lamming links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2001411
2 1999250
3 2001160
4 2000117
5 199815
6 20196
7 20052
8
Use of in situ hybridisation to localise uterine oxytocin receptor mRNA in cyclic, pregnant and steroid-treated ewes.
19931
9 20191
10 20190
11 20190

About GE Lamming

GE Lamming is a scholar working on Agronomy and Crop Science, Immunology, Endocrinology, Diabetes and Metabolism, Genetics and Social Psychology, having authored 11 papers that have together received 963 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (10 papers), Reproductive System and Pregnancy (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Genetic and phenotypic traits in livestock (3 papers), Reproductive Biology and Fertility (2 papers), Neuroendocrine regulation and behavior (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (868 citations), Genetics (598 citations), Immunology (264 citations), Public Health, Environmental and Occupational Health (316 citations) and Reproductive Medicine (80 citations). GE Lamming has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include G.E. Mann, Robert Robinson, D.C. Wathes, TS Gadd, Dawn Scholey, M. G. Hunter and A.P.F. Flint. Their work appears in journals such as Reproduction in Domestic Animals, Reproduction, Journal of Endocrinology, UCL Discovery (University College London) and Bioscientifica Proceedings.

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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