Siew Hoong Yip

1.0k total citations
18 papers, 757 citations indexed

About

Siew Hoong Yip is a scholar working on Reproductive Medicine, Social Psychology and Molecular Biology. According to data from OpenAlex, Siew Hoong Yip has authored 18 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Reproductive Medicine, 9 papers in Social Psychology and 5 papers in Molecular Biology. Recurrent topics in Siew Hoong Yip's work include Hypothalamic control of reproductive hormones (14 papers), Neuroendocrine regulation and behavior (9 papers) and Ovarian function and disorders (5 papers). Siew Hoong Yip is often cited by papers focused on Hypothalamic control of reproductive hormones (14 papers), Neuroendocrine regulation and behavior (9 papers) and Ovarian function and disorders (5 papers). Siew Hoong Yip collaborates with scholars based in New Zealand, United Kingdom and France. Siew Hoong Yip's co-authors include Rebecca E. Campbell, Allan E. Herbison, David R. Grattan, Mel Prescott, Aleisha M. Moore, Christopher J. Marshall, Ulrich Boehm, Hollian R. Phillipps, Stephen J. Bunn and Robert Porteous and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Siew Hoong Yip

18 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siew Hoong Yip New Zealand 13 506 208 181 181 137 18 757
Su Young Han New Zealand 11 664 1.3× 219 1.1× 295 1.6× 189 1.0× 66 0.5× 23 845
Matthew C. Poling United States 13 798 1.6× 204 1.0× 271 1.5× 262 1.4× 57 0.4× 13 960
Aleisha M. Moore United States 13 768 1.5× 140 0.7× 229 1.3× 119 0.7× 94 0.7× 19 873
Stéphanie Constantin United States 19 639 1.3× 237 1.1× 253 1.4× 179 1.0× 52 0.4× 41 917
Laurence Dufourny France 16 381 0.8× 188 0.9× 191 1.1× 271 1.5× 80 0.6× 46 849
Tsuguo Uemura Japan 16 567 1.1× 181 0.9× 145 0.8× 128 0.7× 130 0.9× 34 863
Melinda A. Mittelman-Smith United States 12 469 0.9× 108 0.5× 182 1.0× 156 0.9× 267 1.9× 13 851
Agnete H. Bentsen Denmark 10 683 1.3× 170 0.8× 298 1.6× 292 1.6× 48 0.4× 10 843
Cleyde V. Helena Brazil 13 307 0.6× 188 0.9× 100 0.6× 132 0.7× 48 0.4× 20 498
Kristen P. Tolson United States 15 542 1.1× 211 1.0× 309 1.7× 437 2.4× 60 0.4× 16 1.0k

Countries citing papers authored by Siew Hoong Yip

Since Specialization
Citations

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

Fields of papers citing papers by Siew Hoong Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew Hoong Yip. 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 Siew Hoong Yip. The network helps show where Siew Hoong Yip may publish in the future.

Co-authorship network of co-authors of Siew Hoong Yip

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

All Works

18 of 18 papers shown
1.
Yip, Siew Hoong, et al.. (2025). The Hypothalamic Arcuate Nucleus Dopaminergic Neurons: More Than Just Prolactin Secretion. Endocrinology. 166(3). 3 indexed citations
2.
3.
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
4.
5.
McQuillan, H. James, Jenny Clarkson, Su Young Han, et al.. (2022). Definition of the estrogen negative feedback pathway controlling the GnRH pulse generator in female mice. Nature Communications. 13(1). 7433–7433. 42 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.
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
8.
Yip, Siew Hoong, Xinhuai Liu, Sabine Hessler, et al.. (2020). Indirect Suppression of Pulsatile LH Secretion by CRH Neurons in the Female Mouse. Endocrinology. 162(3). 23 indexed citations
9.
Yip, Siew Hoong, Pauline Campos, Xinhuai Liu, Robert Porteous, & Allan E. Herbison. (2020). Innervation of GnRH Neuron Distal Projections and Activation by Kisspeptin in a New GnRH-Cre Rat Model. Endocrinology. 162(1). 17 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.
Yip, Siew Hoong, Nicola Romanò, David J. Hodson, et al.. (2019). Elevated Prolactin during Pregnancy Drives a Phenotypic Switch in Mouse Hypothalamic Dopaminergic Neurons. Cell Reports. 26(7). 1787–1799.e5. 37 indexed citations
12.
Moore, Aleisha M., Mel Prescott, Elodie Desroziers, et al.. (2018). Synaptic Innervation of the GnRH Neuron Distal Dendron in Female Mice. Endocrinology. 159(9). 3200–3208. 33 indexed citations
13.
Yip, Siew Hoong, et al.. (2017). Incomplete concordance of dopamine transporter Cre (DAT IREScre )-mediated recombination and tyrosine hydroxylase immunoreactivity in the mouse forebrain. Journal of Chemical Neuroanatomy. 90. 40–48. 18 indexed citations
14.
Brown, Rosemary S. E., Ilona C. Kokay, Hollian R. Phillipps, et al.. (2016). Conditional Deletion of the Prolactin Receptor Reveals Functional Subpopulations of Dopamine Neurons in the Arcuate Nucleus of the Hypothalamus. Journal of Neuroscience. 36(35). 9173–9185. 65 indexed citations
15.
Yip, Siew Hoong, Ulrich Boehm, Allan E. Herbison, & Rebecca E. Campbell. (2015). Conditional Viral Tract Tracing Delineates the Projections of the Distinct Kisspeptin Neuron Populations to Gonadotropin-Releasing Hormone (GnRH) Neurons in the Mouse. Endocrinology. 156(7). 2582–2594. 134 indexed citations
16.
Moore, Aleisha M., Mel Prescott, Christopher J. Marshall, Siew Hoong Yip, & Rebecca E. Campbell. (2014). Enhancement of a robust arcuate GABAergic input to gonadotropin-releasing hormone neurons in a model of polycystic ovarian syndrome. Proceedings of the National Academy of Sciences. 112(2). 596–601. 171 indexed citations
17.
Romanò, Nicola, Siew Hoong Yip, David J. Hodson, et al.. (2013). Plasticity of Hypothalamic Dopamine Neurons during Lactation Results in Dissociation of Electrical Activity and Release. Journal of Neuroscience. 33(10). 4424–4433. 80 indexed citations
18.
Yip, Siew Hoong, et al.. (2012). Prolactin Signalling in the Mouse Hypothalamus is Primarily Mediated by Signal Transducer and Activator of Transcription Factor 5b but not 5a. Journal of Neuroendocrinology. 24(12). 1484–1491. 29 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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