J. D. Curlewis

1.1k total citations
37 papers, 927 citations indexed

About

J. D. Curlewis is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Agronomy and Crop Science. According to data from OpenAlex, J. D. Curlewis has authored 37 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Reproductive Medicine and 11 papers in Agronomy and Crop Science. Recurrent topics in J. D. Curlewis's work include Hypothalamic control of reproductive hormones (12 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Reproductive Physiology in Livestock (11 papers). J. D. Curlewis is often cited by papers focused on Hypothalamic control of reproductive hormones (12 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Reproductive Physiology in Livestock (11 papers). J. D. Curlewis collaborates with scholars based in Australia, United Kingdom and United States. J. D. Curlewis's co-authors include Stephen Anderson, Andrew Loudon, Kitja Sawangjaroen, Michael J. Waters, Johanna L. Barclay, A. S. McNeilly, J. A. Milne, Alan S. McNeilly, A.M. Naylor and Robert P. Millar and has published in prestigious journals such as Brain Research, Endocrinology and International Journal of Cancer.

In The Last Decade

J. D. Curlewis

36 papers receiving 896 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. D. Curlewis Australia 17 293 210 202 201 188 37 927
R. Sridaran United States 21 525 1.8× 250 1.2× 172 0.9× 128 0.6× 95 0.5× 62 1.2k
Steven D. Morley United Kingdom 24 105 0.4× 69 0.3× 345 1.7× 125 0.6× 189 1.0× 67 1.6k
G. Pelletier Canada 21 83 0.3× 326 1.6× 500 2.5× 82 0.4× 107 0.6× 84 1.3k
Agustı́n Aoki Argentina 21 651 2.2× 52 0.2× 300 1.5× 84 0.4× 98 0.5× 56 1.6k
Kerry Hull Canada 21 250 0.9× 127 0.6× 732 3.6× 105 0.5× 44 0.2× 58 1.3k
Laura J. Mauro United States 18 239 0.8× 32 0.2× 128 0.6× 170 0.8× 188 1.0× 33 1.1k
Lori A. Thrun United States 16 349 1.2× 284 1.4× 172 0.9× 152 0.8× 38 0.2× 20 807
M Igarashi Japan 15 501 1.7× 210 1.0× 156 0.8× 76 0.4× 151 0.8× 33 1.1k
R. de Leeuw Netherlands 29 1.0k 3.4× 74 0.4× 236 1.2× 93 0.5× 84 0.4× 56 1.9k
J. R. McNeilly United Kingdom 17 260 0.9× 276 1.3× 193 1.0× 111 0.6× 35 0.2× 34 974

Countries citing papers authored by J. D. Curlewis

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Curlewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Curlewis

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Curlewis. A scholar is included among the top collaborators of J. D. Curlewis 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 J. D. Curlewis. J. D. Curlewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barclay, Johanna L., Stephen Anderson, Michael J. Waters, & J. D. Curlewis. (2007). Regulation of Suppressor of Cytokine Signaling 3 (SOC3) by Growth Hormone in Pro-B Cells. Molecular Endocrinology. 21(10). 2503–2515. 35 indexed citations
2.
McGowan, Catherine, et al.. (2006). Glucose uptake in the equine hoof. Queensland's institutional digital repository (The University of Queensland). 39(1). 119–24.
3.
Gemmell, R. T., et al.. (2001). Insulin-like Growth Factor 2 cDNA Cloning and Ontogeny of Gene Expression in the Liver of the Marsupial Brushtail Possum (Trichosurus vulpecula). General and Comparative Endocrinology. 121(1). 114–124. 2 indexed citations
4.
Curlewis, J. D., et al.. (1998). Cloning and Sequence Analysis of a Pituitary Prolactin cDNA from the Brushtail Possum (Trichosurus vulpecula). General and Comparative Endocrinology. 111(1). 61–67. 12 indexed citations
5.
Miller, David W., Dominique Blache, R. Boukhliq, J. D. Curlewis, & Graeme B. Martin. (1998). Central metabolic messengers and the effects of nutrition on gonadotrophin secretion in sheep. Reproduction. 112(2). 347–356. 49 indexed citations
6.
Deakin, Janine E., et al.. (1998). cDNA Cloning of Growth Hormone from the Brushtail Possum (Trichosurus vulpecula). General and Comparative Endocrinology. 111(1). 68–75. 8 indexed citations
7.
Sawangjaroen, Kitja, Stephen Anderson, & J. D. Curlewis. (1997). Effects of Pituitary Adenylate Cyclase‐Activating Polypeptide (PACAP) and Vasoactive Intestinal Polypeptide (VIP) onHormone Secretion from Sheep Pituitary Cells in vitro. Journal of Neuroendocrinology. 9(4). 279–286. 35 indexed citations
8.
Colthorpe, Kay & J. D. Curlewis. (1996). Localization and Characterization of Dopamine D1 Receptors in Sheep Hypothalamus and Striatum. Journal of Neuroendocrinology. 8(7). 561–568. 10 indexed citations
9.
Curlewis, J. D., et al.. (1996). A Heterologous Assay for Measuring Prolactin in Pituitary Extracts and Plasma from Australian Flying Foxes (GenusPteropus). General and Comparative Endocrinology. 104(3). 304–311. 3 indexed citations
10.
Anderson, Stephen, Kitja Sawangjaroen, & J. D. Curlewis. (1996). Pituitary adenylate cyclase-activating polypeptide acts within the medial basal hypothalamus to inhibit prolactin and luteinizing hormone secretion.. Endocrinology. 137(8). 3424–3429. 28 indexed citations
11.
Sawangjaroen, Kitja, Conrad Sernia, & J. D. Curlewis. (1996). Effects of pituitary adenylate cyclase-activating polypeptide and vasoactive intestinal polypeptide on cyclic AMP accumulation in sheep pituitary cells in vitro. Journal of Endocrinology. 148(3). 545–552. 8 indexed citations
12.
Curlewis, J. D., Jean‐Claude Thiéry, & B. Malpaux. (1995). Effect of hypothalamic infusion of a dopamine D1 receptor antagonist on prolactin secretion in the ewe. Brain Research. 697(1-2). 48–52. 6 indexed citations
13.
14.
Curlewis, J. D., Iain J. Clarke, & A. S. McNeilly. (1993). Dopamine D1 receptor analogues act centrally to stimulate prolactin secretion in ewes. Journal of Endocrinology. 137(3). 457–464. 13 indexed citations
15.
Curlewis, J. D., Andrew Loudon, & Alan S. McNeilly. (1992). Purification, partial characterization, and heterologous radioimmunoassay of growth hormone (cGH) in red deer. General and Comparative Endocrinology. 88(1). 1–9. 6 indexed citations
16.
Curlewis, J. D.. (1992). Seasonal prolactin secretion and its role in seasonal reproduction: a review. Reproduction Fertility and Development. 4(1). 1–23. 115 indexed citations
17.
18.
Curlewis, J. D., A.M. Naylor, & Alan S. McNeilly. (1991). Evaluation of a Possible Role for the Dopamine D1 and D2 Receptors in the Steroid‐Dependent Suppression of Luteinizing Hormone Secretion in the Seasonally Anoestrous Ewe. Journal of Neuroendocrinology. 3(4). 387–391. 24 indexed citations
19.
20.
Loudon, Andrew & J. D. Curlewis. (1988). Cycles of antler and testicular growth in an aseasonal tropical deer ( Axis axis ). Reproduction. 83(2). 729–738. 69 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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