Joon S. Kim

1.8k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Joon S. Kim is a scholar working on Social Psychology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Joon S. Kim has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Social Psychology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Joon S. Kim's work include Neuroendocrine regulation and behavior (8 papers), Stress Responses and Cortisol (5 papers) and Hypothalamic control of reproductive hormones (5 papers). Joon S. Kim is often cited by papers focused on Neuroendocrine regulation and behavior (8 papers), Stress Responses and Cortisol (5 papers) and Hypothalamic control of reproductive hormones (5 papers). Joon S. Kim collaborates with scholars based in New Zealand, United States and South Korea. Joon S. Kim's co-authors include Karl J. Iremonger, Richard Jove, James Turkson, Andrew D. Hamilton, Saı̈d M. Sebti, Eric B. Haura, Su Young Han, Yi Zhang, Zhi Chen and Declan Ryan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Joon S. Kim

24 papers receiving 1.4k 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
Joon S. Kim New Zealand 15 515 488 339 177 173 25 1.4k
Anna Börjesson Sweden 20 245 0.5× 588 1.2× 113 0.3× 94 0.5× 106 0.6× 34 1.5k
Paul D. Crowe United States 29 376 0.7× 887 1.8× 49 0.1× 114 0.6× 1.1k 6.6× 53 3.2k
Soo-Hee Park United States 18 1.0k 2.0× 746 1.5× 38 0.1× 71 0.4× 337 1.9× 24 2.4k
Steven Seelig United States 27 848 1.6× 1.4k 2.9× 38 0.1× 121 0.7× 101 0.6× 69 3.4k
Stéphane Dion Canada 27 118 0.2× 1.5k 3.0× 63 0.2× 24 0.1× 100 0.6× 72 2.9k
William P. Kennedy United States 22 178 0.3× 255 0.5× 201 0.6× 68 0.4× 431 2.5× 61 2.0k
Harry Gray United States 12 211 0.4× 735 1.5× 46 0.1× 43 0.2× 120 0.7× 37 1.1k
Michael J. Harper United States 20 150 0.3× 155 0.3× 446 1.3× 20 0.1× 533 3.1× 50 1.5k
Maria Lombardi Italy 12 359 0.7× 614 1.3× 108 0.3× 38 0.2× 96 0.6× 24 1.3k
Daniel Reimer Austria 27 593 1.2× 1.7k 3.4× 257 0.8× 93 0.5× 229 1.3× 79 2.5k

Countries citing papers authored by Joon S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joon S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon S. Kim. 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 Joon S. Kim. The network helps show where Joon S. Kim may publish in the future.

Co-authorship network of co-authors of Joon S. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joon S. Kim. A scholar is included among the top collaborators of Joon S. Kim 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 Joon S. Kim. Joon S. Kim 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.
Young, Calvin K., et al.. (2025). Ultradian rhythms of CRH PVN neuron activity, behavior, and stress hormone secretion. Proceedings of the National Academy of Sciences. 122(31). e2510083122–e2510083122.
2.
Kim, Joon S., et al.. (2022). Regulation of corticotropin‐releasing hormone neuronal network activity by noradrenergic stress signals. The Journal of Physiology. 600(19). 4347–4359. 4 indexed citations
3.
Kim, Joon S., et al.. (2021). Visualising oxytocin neurone activity in vivo: The key to unlocking central regulation of parturition and lactation. Journal of Neuroendocrinology. 33(11). e13012–e13012. 14 indexed citations
4.
Kim, Joon S., et al.. (2021). Cannabinoid and vanilloid pathways mediate opposing forms of synaptic plasticity in corticotropin‐releasing hormone neurons. Journal of Neuroendocrinology. 34(4). e13084–e13084. 6 indexed citations
5.
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
6.
Kim, Joon S., et al.. (2019). Corticosterone mediated functional and structural plasticity in corticotropin-releasing hormone neurons. Neuropharmacology. 154. 79–86. 13 indexed citations
7.
Kim, Joon S. & Karl J. Iremonger. (2019). Temporally Tuned Corticosteroid Feedback Regulation of the Stress Axis. Trends in Endocrinology and Metabolism. 30(11). 783–792. 28 indexed citations
8.
Kim, Joon S., Kirk Foster, & Scott G. Westphal. (2019). Eculizumab in post-transplant C3 glomerulonephritis caused by a C3 mutation. Clinical Nephrology. 93(1). 51–56. 4 indexed citations
9.
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 →
10.
Kim, Joon S., Colin H. Brown, & Greg M. Anderson. (2016). Anti-opioid Effects of RFRP-3 on Magnocellular Neuron Activity in Morphine-naïve and Morphine-treated Female Rats. Endocrinology. 157(10). 4003–4011. 7 indexed citations
11.
Kim, Joon S., Philip W. Brownjohn, Massimiliano Beltramo, et al.. (2015). Anxiogenic and Stressor Effects of the Hypothalamic Neuropeptide RFRP-3 Are Overcome by the NPFFR Antagonist GJ14. Endocrinology. 156(11). 4152–4162. 50 indexed citations
13.
Gunning, Patrick T., William P. Katt, Matthew P. Glenn, et al.. (2007). Isoform selective inhibition of STAT1 or STAT3 homo-dimerization via peptidomimetic probes: Structural recognition of STAT SH2 domains. Bioorganic & Medicinal Chemistry Letters. 17(7). 1875–1878. 45 indexed citations
14.
Anagnostopoulou, Aikaterini, Adina Vultur, Rozanne Arulanandam, et al.. (2005). Differential effects of Stat3 inhibition in sparse vs confluent normal and breast cancer cells. Cancer Letters. 242(1). 120–132. 23 indexed citations
15.
Turkson, James, Joon S. Kim, Shumin Zhang, et al.. (2004). Novel peptidomimetic inhibitors of signal transducer and activator of transcription 3 dimerization and biological activity. Molecular Cancer Therapeutics. 3(3). 261–269. 212 indexed citations
16.
Kim, Joon S., et al.. (2003). Does the physician order-entry system increase the revenue of a general hospital?. International Journal of Medical Informatics. 71(1). 25–32. 6 indexed citations
17.
Turkson, James, Declan Ryan, Joon S. Kim, et al.. (2001). Phosphotyrosyl Peptides Block Stat3-mediated DNA Binding Activity, Gene Regulation, and Cell Transformation. Journal of Biological Chemistry. 276(48). 45443–45455. 369 indexed citations
18.
Yun, Shifeng, et al.. (2000). Effects of rbST [recombinant bovine somatotropin] injection time on haematological values and blood metabolic substrates in Holstein steers.. 42(3). 269–278. 1 indexed citations
19.
Kim, Joon S., et al.. (1998). An Assessment of Individual and Institutional Research Productivity in MIS. 56 indexed citations
20.
Ríos‐Dalenz, Jaime, et al.. (1965). The So-Called “Juvenile Aponeurotic Fibroma”. American Journal of Clinical Pathology. 44(6). 632–635. 24 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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