Su Young Han

1.2k total citations · 1 hit paper
23 papers, 845 citations indexed

About

Su Young Han is a scholar working on Reproductive Medicine, Molecular Biology and Social Psychology. According to data from OpenAlex, Su Young Han has authored 23 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Reproductive Medicine, 10 papers in Molecular Biology and 7 papers in Social Psychology. Recurrent topics in Su Young Han's work include Hypothalamic control of reproductive hormones (15 papers), Ovarian function and disorders (9 papers) and Plant Reproductive Biology (9 papers). Su Young Han is often cited by papers focused on Hypothalamic control of reproductive hormones (15 papers), Ovarian function and disorders (9 papers) and Plant Reproductive Biology (9 papers). Su Young Han collaborates with scholars based in New Zealand, United Kingdom and Australia. Su Young Han's co-authors include Allan E. Herbison, Isaiah Cheong, Karl J. Iremonger, Joon S. Kim, Jenny Clarkson, H. James McQuillan, Robert Porteous, Richard Piet, Jamie Ng and William H Colledge 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

Su Young Han

21 papers receiving 843 citations

Hit Papers

Definition of the hypothalamic GnRH pulse generator in mice 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su Young Han New Zealand 11 664 295 219 189 116 23 845
Siew Hoong Yip New Zealand 13 506 0.8× 181 0.6× 208 0.9× 181 1.0× 80 0.7× 18 757
Stéphanie Constantin United States 19 639 1.0× 253 0.9× 237 1.1× 179 0.9× 168 1.4× 41 917
Elodie Desroziers New Zealand 14 484 0.7× 206 0.7× 159 0.7× 126 0.7× 78 0.7× 22 614
Aleisha M. Moore United States 13 768 1.2× 229 0.8× 140 0.6× 119 0.6× 96 0.8× 19 873
Kristen P. Tolson United States 15 542 0.8× 309 1.0× 211 1.0× 437 2.3× 142 1.2× 16 1.0k
Cadence True United States 16 572 0.9× 328 1.1× 85 0.4× 293 1.6× 114 1.0× 26 936
Steven L. Hardy United States 14 434 0.7× 174 0.6× 164 0.7× 182 1.0× 131 1.1× 19 684
Sally J. Krajewski United States 11 1.0k 1.6× 503 1.7× 149 0.7× 292 1.5× 264 2.3× 11 1.2k
Melinda A. Mittelman-Smith United States 12 469 0.7× 182 0.6× 108 0.5× 156 0.8× 340 2.9× 13 851
Alda Pereira Australia 16 1.2k 1.8× 571 1.9× 202 0.9× 435 2.3× 260 2.2× 22 1.4k

Countries citing papers authored by Su Young Han

Since Specialization
Citations

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

Fields of papers citing papers by Su Young Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Young Han. 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 Su Young Han. The network helps show where Su Young Han may publish in the future.

Co-authorship network of co-authors of Su Young Han

This figure shows the co-authorship network connecting the top 25 collaborators of Su Young Han. A scholar is included among the top collaborators of Su Young Han 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 Su Young Han. Su Young Han 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.
Chang, Bryan, et al.. (2025). Comparative Analysis of GnRH Pulse Generator Activity in Intact and Gonadectomized Male and Female Mice. Endocrinology. 166(8). 1 indexed citations
2.
Han, Su Young, et al.. (2025). GnRH pulse generator activity in mouse models of polycystic ovary syndrome. eLife. 13. 2 indexed citations
3.
Vas, Szilvia, et al.. (2025). Brainstem noradrenergic modulation of the kisspeptin neuron GnRH pulse generator in mice. Nature Communications. 16(1). 5772–5772.
4.
Vas, Szilvia, et al.. (2024). Long-term Recordings of Arcuate Nucleus Kisspeptin Neurons Across the Mouse Estrous Cycle. Endocrinology. 165(3). 6 indexed citations
5.
Han, Su Young, et al.. (2024). Multi-dimensional oscillatory activity of mouse GnRH neurons in vivo. eLife. 13. 3 indexed citations
6.
Yeo, Shel‐Hwa, Su Young Han, & Allan E. Herbison. (2024). Shifting GnRH Neuron Ensembles Underlie Successive Preovulatory Luteinizing Hormone Surges. Journal of Neuroscience. 45(3). e1383242024–e1383242024.
7.
Han, Su Young, et al.. (2023). Mechanism of kisspeptin neuron synchronization for pulsatile hormone secretion in male mice. Cell Reports. 42(1). 111914–111914. 44 indexed citations
8.
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
10.
Kim, Joon S., Su Young Han, & Karl J. Iremonger. (2019). Stress experience and hormone feedback tune distinct components of hypothalamic CRH neuron activity. Nature Communications. 10(1). 5696–5696. 65 indexed citations
11.
Han, Su Young, et al.. (2019). Characterization of GnRH Pulse Generator Activity in Male Mice Using GCaMP Fiber Photometry. Endocrinology. 160(3). 557–567. 64 indexed citations
12.
McQuillan, H. James, Su Young Han, Isaiah Cheong, & Allan E. Herbison. (2019). GnRH Pulse Generator Activity Across the Estrous Cycle of Female Mice. Endocrinology. 160(6). 1480–1491. 93 indexed citations
13.
Han, Su Young, Jenny Clarkson, Richard Piet, & Allan E. Herbison. (2018). Optical Approaches for Interrogating Neural Circuits Controlling Hormone Secretion. Endocrinology. 159(11). 3822–3833. 11 indexed citations
14.
Clarkson, Jenny, Su Young Han, Richard Piet, et al.. (2017). Definition of the hypothalamic GnRH pulse generator in mice. Proceedings of the National Academy of Sciences. 114(47). E10216–E10223. 289 indexed citations breakdown →
15.
Han, Su Young, et al.. (2015). Induction of hypertension blunts baroreflex inhibition of vasopressin neurons in the rat. European Journal of Neuroscience. 42(9). 2690–2698. 14 indexed citations
16.
Han, Su Young & Chris P. Bolter. (2015). Effects of tertiapin-Q and ZD7288 on changes in sinoatrial pacemaker rhythm during vagal stimulation. Autonomic Neuroscience. 193. 117–126. 4 indexed citations
17.
Han, Su Young, et al.. (2015). Selective optogenetic activation of arcuate kisspeptin neurons generates pulsatile luteinizing hormone secretion. Proceedings of the National Academy of Sciences. 112(42). 13109–13114. 141 indexed citations
18.
Han, Su Young, Emily Gray, Gillian Hughes, Colin H. Brown, & Daryl O. Schwenke. (2013). Increased sympathetic drive during the onset of hypertension in conscious Cyp1a1-Ren2 rats. Pflügers Archiv - European Journal of Physiology. 466(3). 459–466. 6 indexed citations
19.
Han, Su Young & Chris P. Bolter. (2011). The muscarinic-activated potassium channel always participates in vagal slowing of the guinea-pig sinoatrial pacemaker. Autonomic Neuroscience. 164(1-2). 96–100. 5 indexed citations
20.
Han, Su Young, Mukesh Kumar Gupta, Sang Jun Uhm, & Hoon Taek Lee. (2009). Isolation and In vitro Culture of Pig Spermatogonial Stem Cell. Asian-Australasian Journal of Animal Sciences. 22(2). 187–193. 23 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026