GE Lamming

1.2k total citations
11 papers, 958 citations indexed

About

GE Lamming is a scholar working on Agronomy and Crop Science, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, GE Lamming has authored 11 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 6 papers in Immunology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in GE Lamming's work include Reproductive Physiology in Livestock (10 papers), Reproductive System and Pregnancy (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). GE Lamming is often cited by papers focused on Reproductive Physiology in Livestock (10 papers), Reproductive System and Pregnancy (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). GE Lamming collaborates with scholars based in United Kingdom and Japan. GE Lamming's co-authors include G.E. Mann, Robert Robinson, D.C. Wathes, TS Gadd, M. G. Hunter, Dawn Scholey and A.P.F. Flint and has published in prestigious journals such as Reproduction, Journal of Endocrinology and Reproduction in Domestic Animals.

In The Last Decade

GE Lamming

9 papers receiving 903 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
GE Lamming 869 609 325 275 99 11 958
R. A. Parr 598 0.7× 381 0.6× 237 0.7× 137 0.5× 112 1.1× 20 819
T.J. Acosta 539 0.6× 215 0.4× 279 0.9× 199 0.7× 74 0.7× 20 770
Giovanni M. Báez 900 1.0× 649 1.1× 341 1.0× 214 0.8× 171 1.7× 19 1.1k
M.-J. Thatcher 640 0.7× 378 0.6× 183 0.6× 75 0.3× 201 2.0× 20 740
T Díaz 791 0.9× 559 0.9× 283 0.9× 94 0.3× 214 2.2× 16 913
J. D. Kirsch 548 0.6× 303 0.5× 258 0.8× 62 0.2× 107 1.1× 35 812
P. E. Lewis 916 1.1× 657 1.1× 307 0.9× 51 0.2× 210 2.1× 34 993
R. C. Fry 423 0.5× 258 0.4× 469 1.4× 230 0.8× 63 0.6× 35 862
F. Martinat-Botté 350 0.4× 140 0.2× 173 0.5× 212 0.8× 94 0.9× 23 606
R.P. Del Vecchio 407 0.5× 191 0.3× 104 0.3× 114 0.4× 86 0.9× 26 521

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-authorship network of co-authors of GE Lamming

This figure shows the co-authorship network connecting the top 25 collaborators of GE Lamming. A scholar is included among the top collaborators of GE Lamming based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with GE Lamming. GE Lamming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wathes, D.C. & GE Lamming. (2019). The oxytocin receptor, luteolysis and the maintenance of pregnancy. Bioscientifica Proceedings. 1 indexed citations
2.
Lamming, GE, et al.. (2019). Endocrine patterns of the post-partum cow. Bioscientifica Proceedings.
3.
Flint, A.P.F., et al.. (2019). Molecular biology of trophoblast interferons and studies of their effects in vivo. Bioscientifica Proceedings.
4.
Mann, G.E., GE Lamming, Robert Robinson, & D.C. Wathes. (2019). The regulation of interferon-t production and uterine hormone receptors during early pregnancy. Bioscientifica Proceedings. 5 indexed citations
5.
Lamming, GE, M. G. Hunter, Dawn Scholey, & G.E. Mann. (2005). Endometrial Oxytocin Receptor Concentration and Activity in Prepubertal Ewe Lambs. Reproduction in Domestic Animals. 40(2). 123–125. 2 indexed citations
6.
Mann, G.E. & GE Lamming. (2001). Relationship between maternal endocrine environment, early embryo development and inhibition of the luteolytic mechanism in cows. Reproduction. 121(1). 175–180. 411 indexed citations
7.
Robinson, Robert, G.E. Mann, GE Lamming, & D.C. Wathes. (2001). Expression of oxytocin, oestrogen and progesterone receptors in uterine biopsy samples throughout the oestrous cycle and early pregnancy in cows. Reproduction. 122(6). 965–979. 159 indexed citations
8.
Robinson, Robert, G.E. Mann, TS Gadd, GE Lamming, & D.C. Wathes. (2000). The expression of the IGF system in the bovine uterus throughout the oestrous cycle and early pregnancy. Journal of Endocrinology. 165(2). 231–243. 114 indexed citations
9.
Mann, G.E. & GE Lamming. (1999). The Influence of Progesterone During Early Pregnancy in Cattle. Reproduction in Domestic Animals. 34(3-4). 269–274. 250 indexed citations
10.
Wathes, D.C., Robert Robinson, G.E. Mann, & GE Lamming. (1998). The Establishment of Early Pregnancy in Cows. Reproduction in Domestic Animals. 33(3-4). 279–284. 15 indexed citations
11.
Wathes, D.C., et al.. (1993). Use of in situ hybridisation to localise uterine oxytocin receptor mRNA in cyclic, pregnant and steroid-treated ewes.. UCL Discovery (University College London). 1 indexed citations

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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