David R. Grattan

10.9k total citations
193 papers, 8.0k citations indexed

About

David R. Grattan is a scholar working on Reproductive Medicine, Social Psychology and Endocrine and Autonomic Systems. According to data from OpenAlex, David R. Grattan has authored 193 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Reproductive Medicine, 67 papers in Social Psychology and 66 papers in Endocrine and Autonomic Systems. Recurrent topics in David R. Grattan's work include Hypothalamic control of reproductive hormones (83 papers), Neuroendocrine regulation and behavior (67 papers) and Regulation of Appetite and Obesity (61 papers). David R. Grattan is often cited by papers focused on Hypothalamic control of reproductive hormones (83 papers), Neuroendocrine regulation and behavior (67 papers) and Regulation of Appetite and Obesity (61 papers). David R. Grattan collaborates with scholars based in New Zealand, United States and Germany. David R. Grattan's co-authors include Sharon R. Ladyman, Ilona C. Kokay, Rachael A. Augustine, Greg M. Anderson, Rosemary S. E. Brown, Caroline M. Larsen, Allan E. Herbison, Michael Selmanoff, Xiujun Pi and Stephen J. Bunn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David R. Grattan

191 papers receiving 7.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Grattan New Zealand 53 2.7k 2.6k 2.2k 2.0k 1.2k 193 8.0k
M. Susan Smith United States 55 3.4k 1.3× 4.1k 1.6× 2.1k 0.9× 1.8k 0.9× 1.2k 1.0× 148 10.4k
Vincent Prévot France 55 3.2k 1.2× 3.5k 1.3× 1.2k 0.6× 1.2k 0.6× 2.2k 1.8× 197 9.7k
Zsolt Liposits Hungary 57 2.7k 1.0× 3.0k 1.2× 2.1k 0.9× 1.7k 0.8× 1.8k 1.5× 185 9.0k
Dipak K. Sarkar United States 49 1.3k 0.5× 1.8k 0.7× 707 0.3× 1.5k 0.7× 1.9k 1.6× 210 7.4k
Jon E. Levine United States 46 4.2k 1.6× 1.6k 0.6× 1.2k 0.5× 1.1k 0.5× 1.4k 1.2× 123 6.8k
L.C. Krey United States 47 3.0k 1.1× 1.1k 0.4× 2.0k 0.9× 1.6k 0.8× 1.2k 1.0× 161 8.7k
Michel Ferin United States 48 3.7k 1.4× 1.3k 0.5× 1.1k 0.5× 1.7k 0.8× 740 0.6× 153 7.3k
Gloria E. Hoffman United States 58 3.6k 1.3× 3.9k 1.5× 3.5k 1.6× 1.0k 0.5× 2.6k 2.2× 154 11.9k
Ronald M. Lechan United States 62 1.6k 0.6× 5.0k 1.9× 1.1k 0.5× 4.1k 2.0× 1.9k 1.6× 212 11.7k
Phyllis M. Wise United States 59 2.4k 0.9× 1.6k 0.6× 1.4k 0.6× 3.4k 1.7× 1.5k 1.3× 158 9.8k

Countries citing papers authored by David R. Grattan

Since Specialization
Citations

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

Fields of papers citing papers by David R. Grattan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Grattan. 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 David R. Grattan. The network helps show where David R. Grattan may publish in the future.

Co-authorship network of co-authors of David R. Grattan

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Grattan. A scholar is included among the top collaborators of David R. Grattan 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 David R. Grattan. David R. Grattan 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.
Grattan, David R.. (2024). Does the brain make prolactin?. Journal of Neuroendocrinology. 36(10). e13432–e13432. 1 indexed citations
2.
Phillipps, Hollian R., et al.. (2023). The role of prolactin in the suppression of the response to restraint stress in the lactating mouse. Journal of Neuroendocrinology. 36(7). e13330–e13330. 3 indexed citations
3.
Hassan, Muhammad Jawad, David R. Grattan, & Beulah Leitch. (2023). Developmental Inhibitory Changes in the Primary Somatosensory Cortex of the Stargazer Mouse Model of Absence Epilepsy. Biomolecules. 13(1). 186–186. 3 indexed citations
4.
Phillipps, Hollian R., et al.. (2022). Elevated prolactin secretion during proestrus in mice: Absence of a defined surge. Journal of Neuroendocrinology. 34(6). e13129–e13129. 13 indexed citations
5.
Georgescu, Teodora, et al.. (2021). The Prolactin Family of Hormones as Regulators of Maternal Mood and Behavior. SHILAP Revista de lepidopterología. 2. 767467–767467. 23 indexed citations
6.
Porteous, Robert, Melanie Prescott, Kelly A. Glendining, et al.. (2021). Impact of chronic variable stress on neuroendocrine hypothalamus and pituitary in male and female C57BL/6J mice. Journal of Neuroendocrinology. 33(5). e12972–e12972. 22 indexed citations
7.
Georgescu, Teodora, Sharon R. Ladyman, Rosemary S. E. Brown, & David R. Grattan. (2020). Acute effects of prolactin on hypothalamic prolactin receptor expressing neurones in the mouse. Journal of Neuroendocrinology. 32(11). e12908–e12908. 13 indexed citations
8.
Yip, Siew Hoong, et al.. (2020). Morphological plasticity of the tuberoinfundibular dopaminergic neurones in the rat during the oestrous cycle and lactation. Journal of Neuroendocrinology. 32(11). e12884–e12884. 4 indexed citations
9.
Garratt, Michael, et al.. (2020). Mating in the absence of fertilization promotes a growth-reproduction versus lifespan trade-off in female mice. Proceedings of the National Academy of Sciences. 117(27). 15748–15754. 20 indexed citations
10.
Phillipps, Hollian R., Siew Hoong Yip, & David R. Grattan. (2019). Patterns of prolactin secretion. Molecular and Cellular Endocrinology. 502. 110679–110679. 69 indexed citations
11.
Patil, Mayur, Andi Wangzhou, Jennifer Mecklenburg, et al.. (2019). Prolactin receptor expression in mouse dorsal root ganglia neuronal subtypes is sex‐dependent. Journal of Neuroendocrinology. 31(8). e12759–e12759. 34 indexed citations
12.
Augustine, Rachael A., et al.. (2018). Integrative neurohumoural regulation of oxytocin neurone activity in pregnancy and lactation. Journal of Neuroendocrinology. 30(8). 26 indexed citations
13.
Augustine, Rachael A., Sharon R. Ladyman, Victoria Scott, et al.. (2017). Prolactin regulation of oxytocin neurone activity in pregnancy and lactation. The Journal of Physiology. 595(11). 3591–3605. 41 indexed citations
14.
Phillipps, Hollian R., Ilona C. Kokay, David R. Grattan, & Peter R. Hurst. (2011). X-linked inhibitor of apoptosis protein and active caspase-3 expression patterns in antral follicles in the sheep ovary. Reproduction. 142(6). 855–867. 8 indexed citations
15.
Anderson, Greg M., David R. Grattan, Willemijn van den Ancker, & Robert S. Bridges. (2006). Reproductive Experience Increases Prolactin Responsiveness in the Medial Preoptic Area and Arcuate Nucleus of Female Rats. Endocrinology. 147(10). 4688–4694. 48 indexed citations
16.
Grattan, David R.. (2002). Behavioural significance of prolactin signalling in the central nervous system during pregnancy and lactation. Reproduction. 123(4). 497–506. 96 indexed citations
17.
Davey, Helen W., Tao Xie, Michael J. McLachlan, et al.. (2001). STAT5b Is Required for GH-Induced Liver Igf-I Gene Expression. Endocrinology. 142(9). 3836–3841. 144 indexed citations
18.
Grattan, David R., et al.. (1999). Increased Prolactin Receptor Immunoreactivity in the Hypothalamus of Lactating Rats. Journal of Neuroendocrinology. 11(9). 693–705. 83 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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