Kyungjin Kim

920 total citations
23 papers, 783 citations indexed

About

Kyungjin Kim is a scholar working on Reproductive Medicine, Molecular Biology and Social Psychology. According to data from OpenAlex, Kyungjin Kim has authored 23 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Reproductive Medicine, 9 papers in Molecular Biology and 4 papers in Social Psychology. Recurrent topics in Kyungjin Kim's work include Hypothalamic control of reproductive hormones (19 papers), Ovarian function and disorders (7 papers) and Reproductive System and Pregnancy (4 papers). Kyungjin Kim is often cited by papers focused on Hypothalamic control of reproductive hormones (19 papers), Ovarian function and disorders (7 papers) and Reproductive System and Pregnancy (4 papers). Kyungjin Kim collaborates with scholars based in South Korea, France and United States. Kyungjin Kim's co-authors include Jae Young Seong, Hubert Vaudry, Jong‐Ik Hwang, Gi Hoon Son, Dong-Kyu Kim, Cho Rong Park, Jae Il Kim, Seongsik Yun, Hyuk Bang Kwon and Wan Kyoo Cho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

In The Last Decade

Kyungjin Kim

23 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyungjin Kim South Korea 15 467 269 215 202 154 23 783
Kei-ichiro Maeda Japan 15 716 1.5× 398 1.5× 140 0.7× 191 0.9× 282 1.8× 15 1.1k
Ke-Wen Dong United States 15 278 0.6× 208 0.8× 117 0.5× 280 1.4× 58 0.4× 22 743
Flavio Piva Italy 17 258 0.6× 221 0.8× 309 1.4× 92 0.5× 97 0.6× 26 740
Hanne M. Hoffmann United States 16 178 0.4× 354 1.3× 205 1.0× 118 0.6× 205 1.3× 46 839
Mi Jin Moon South Korea 16 291 0.6× 402 1.5× 250 1.2× 206 1.0× 60 0.4× 21 797
F Merelli United States 9 312 0.7× 316 1.2× 149 0.7× 70 0.3× 77 0.5× 9 678
Matthew C. Poling United States 13 798 1.7× 271 1.0× 93 0.4× 195 1.0× 262 1.7× 13 960
Cadence True United States 16 572 1.2× 328 1.2× 149 0.7× 114 0.6× 293 1.9× 26 936
Sally J. Krajewski United States 11 1.0k 2.2× 503 1.9× 186 0.9× 264 1.3× 292 1.9× 11 1.2k
Lynn P. Chorich United States 18 442 0.9× 291 1.1× 92 0.4× 427 2.1× 312 2.0× 37 1.1k

Countries citing papers authored by Kyungjin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kyungjin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungjin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungjin Kim. A scholar is included among the top collaborators of Kyungjin 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 Kyungjin Kim. Kyungjin 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.
Choe, Han Kyoung, et al.. (2015). Real-Time GnRH Gene Transcription in GnRH Promoter-Driven Luciferase-Expressing Transgenic Mice: Effect of Kisspeptin. Neuroendocrinology. 102(3). 194–199. 6 indexed citations
2.
Kim, Dong-Kyu, Seongsik Yun, Gi Hoon Son, et al.. (2014). Coevolution of the Spexin/Galanin/Kisspeptin Family: Spexin Activates Galanin Receptor Type II and III. Endocrinology. 155(5). 1864–1873. 197 indexed citations
3.
Chun, Sung Kook, Jaebong Jang, Sooyoung Chung, et al.. (2014). Correction to Identification and Validation of Cryptochrome Inhibitors That Modulate the Molecular Circadian Clock. ACS Chemical Biology. 9(5). 1213–1213. 2 indexed citations
4.
Choe, Han Kyoung, Sung Ho Park, Han‐Woong Lee, et al.. (2013). Synchronous activation of gonadotropin-releasing hormone gene transcription and secretion by pulsatile kisspeptin stimulation. Proceedings of the National Academy of Sciences. 110(14). 5677–5682. 52 indexed citations
5.
Tsunekawa, Kenta, Mi Jin Moon, Jong‐Ik Hwang, et al.. (2009). Molecular Evolution of Multiple Forms of Kisspeptins and GPR54 Receptors in Vertebrates. Endocrinology. 150(6). 2837–2846. 190 indexed citations
6.
Kim, Hyeon Soo, Jang Hyun Choi, Gi Hoon Son, et al.. (2006). Serotonin stimulates GnRH secretion through the c-Src-PLC γ1 pathway in GT1–7 hypothalamic cells. Journal of Endocrinology. 190(3). 581–591. 29 indexed citations
8.
Choi, Eun Jung, Chang Man Ha, Jungil Choi, et al.. (2001). Low-density cDNA array-coupled to PCR differential display identifies new estrogen-responsive genes during the postnatal differentiation of the rat hypothalamus. Molecular Brain Research. 97(2). 115–128. 15 indexed citations
9.
Chung, Jean‐Ju, et al.. (2000). Activation of retinoic acid receptor γ induces proliferation of immortalized hippocampal progenitor cells. Molecular Brain Research. 83(1-2). 52–62. 19 indexed citations
11.
Sun, Woong, Hubertus Jarry, W. Wuttke, & Kyungjin Kim. (1997). Gonadotropin releasing hormone modulates γ-aminobutyric acid-evoked intracellular calcium increase in immortalized hypothalamic gonadotropin releasing hormone neurons. Brain Research. 747(1). 70–77. 14 indexed citations
12.
Sun, Woong, et al.. (1997). Suppression of GnRH gene expression in GT1-1 hypothalamic neuronal cells. Neuroreport. 8(16). 3541–3545. 9 indexed citations
13.
Choi, Wan Sung, Byung Ju Lee, Jin Hyun Kim, et al.. (1994). Presence of gonadotropin-releasing hormone mRNA in the rat olfactory piriform cortex. Brain Research. 648(1). 148–151. 14 indexed citations
15.
Seong, Jae Young, et al.. (1994). Progesterone stimulates GnRH gene expression in the hypothalamus of ovariectomized, estrogen treated adult rats. Brain Research. 652(1). 177–180. 20 indexed citations
16.
Seong, Jae Young, et al.. (1993). NMDA Receptor Antagonist Decreases the Progesterone-Induced Increase in GnRH Gene Expression in the Rat Hypothalamus. Neuroendocrinology. 58(2). 234–239. 26 indexed citations
17.
Lee, Daekee, et al.. (1992). Inhibitory effect of purines in meiotic maturation of denuded mouse oocytes. Molecular Reproduction and Development. 31(4). 280–286. 16 indexed citations
18.
Cho, Chunghee, et al.. (1991). Protein Modification by Phosphorylation during the Process of Nuclear Membrane Dissolution in Puromycin-Treated Mouse Oocytes1. Biology of Reproduction. 44(4). 590–598. 2 indexed citations
19.
Kim, Kyungjin, Byung Ju Lee, Youngkyu Park, & Wan Kyoo Cho. (1989). Progesterone increases messenger ribonucleic acid (mRNA) encoding luteinizing hormone releasing hormone (LHRH) level in the hypothalamus of ovariectomized estradiol-primed prepubertal rats. Molecular Brain Research. 6(2-3). 151–158. 53 indexed citations
20.
Kim, Kyungjin & Victor D. Ramírez. (1986). In vitro LHRH Release from Superfused Hypothalamus as a Function of the Rat Estrous Cycle: Effect of Progesterone. Neuroendocrinology. 42(5). 392–398. 19 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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