Myeung Ju Kim

2.2k total citations
97 papers, 1.6k citations indexed

About

Myeung Ju Kim is a scholar working on Archeology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Myeung Ju Kim has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Archeology, 26 papers in Cellular and Molecular Neuroscience and 22 papers in Molecular Biology. Recurrent topics in Myeung Ju Kim's work include Forensic Anthropology and Bioarchaeology Studies (26 papers), Paleopathology and ancient diseases (25 papers) and Neuroscience and Neuropharmacology Research (20 papers). Myeung Ju Kim is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (26 papers), Paleopathology and ancient diseases (25 papers) and Neuroscience and Neuropharmacology Research (20 papers). Myeung Ju Kim collaborates with scholars based in South Korea, Ethiopia and Puerto Rico. Myeung Ju Kim's co-authors include Yoon Hee Chung, Choong Ik, Dong Hoon Shin, Chung Min Shin, Chang Seok Oh, Kyeung Min Joo, Min Seo, Gi Dae Bok, Yi Yang and Yi‐Suk Kim and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Myeung Ju Kim

94 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myeung Ju Kim South Korea 25 452 383 327 266 257 97 1.6k
Toshiharu Yamamoto Japan 19 141 0.3× 266 0.7× 244 0.7× 12 0.0× 152 0.6× 80 956
Manfred Oehmichen Germany 23 34 0.1× 508 1.3× 202 0.6× 28 0.1× 112 0.4× 50 1.3k
Joanna L. Elson United Kingdom 37 101 0.2× 3.4k 8.9× 562 1.7× 21 0.1× 366 1.4× 104 4.8k
Douglas C. Wallace United States 21 92 0.2× 2.7k 7.2× 209 0.6× 10 0.0× 270 1.1× 23 3.4k
Ignazio S. Piras United States 22 33 0.1× 720 1.9× 129 0.4× 8 0.0× 325 1.3× 86 1.6k
Antonio J. Martínez‐Fuentes Spain 28 27 0.1× 834 2.2× 357 1.1× 10 0.0× 293 1.1× 57 2.3k
Peristera Paschou Greece 21 54 0.1× 368 1.0× 55 0.2× 10 0.0× 77 0.3× 55 1.6k
Katarzyna Bożek Germany 15 16 0.0× 297 0.8× 77 0.2× 32 0.1× 182 0.7× 35 857
Branislav Vidić United States 20 12 0.0× 642 1.7× 341 1.0× 12 0.0× 227 0.9× 65 2.0k
Jesús Sainz Spain 21 16 0.0× 1.2k 3.1× 214 0.7× 9 0.0× 217 0.8× 43 2.8k

Countries citing papers authored by Myeung Ju Kim

Since Specialization
Citations

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

Fields of papers citing papers by Myeung Ju Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myeung Ju Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Myeung Ju Kim. A scholar is included among the top collaborators of Myeung Ju 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 Myeung Ju Kim. Myeung Ju 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.
Kim, Jae Soo, et al.. (2024). Licochalcone A attenuates NMDA-induced neurotoxicity. Animal Cells and Systems. 28(1). 392–400. 2 indexed citations
3.
Jang, Bo Gun, Hyunho Park, Baek‐hui Kim, et al.. (2020). A Prospective Validation and Observer Performance Study of a Deep Learning Algorithm for Pathologic Diagnosis of Gastric Tumors in Endoscopic Biopsies. Clinical Cancer Research. 27(3). 719–728. 31 indexed citations
4.
Jeong, Yoonhwa, et al.. (2017). A 4-Nitroquinoleneoxide-Induced Pleurotus eryngii Mutant Variety Increases Pin1 Expression in Rat Brain. Journal of Medicinal Food. 20(1). 65–70. 2 indexed citations
5.
Kim, Myeung Ju, et al.. (2015). Anatomical Confirmation of Computed Tomography-Based Diagnosis of the Atherosclerosis Discovered in 17th Century Korean Mummy. PLoS ONE. 10(3). e0119474–e0119474. 9 indexed citations
6.
Kim, Hyunggun, et al.. (2014). Alteration of glycine receptor immunoreactivity in the auditory brainstem of mice following three months of exposure to radiofrequency radiation at SAR 4.0 W/kg. International Journal of Molecular Medicine. 34(2). 409–419. 3 indexed citations
7.
Oh, Cheol Kyu, et al.. (2011). Changes in the distribution of calbindin D28-k, parvalbumin, and calretinin in the hippocampus of the circling mouse. Brain Research. 1437. 58–68. 6 indexed citations
8.
Shin, Hyun Joo, Byeong Tak Jeon, Jung-Mee Kim, et al.. (2011). Effect of the calcineurin inhibitor FK506 on K+–Cl− cotransporter 2 expression in the mouse hippocampus after kainic acid-induced status epilepticus. Journal of Neural Transmission. 119(6). 669–677. 10 indexed citations
10.
Kim, Myeung Ju, Dae-Ho Lee, Hyun‐Wook Kang, et al.. (2006). Chronic blockade of the angiotensin II receptor has a differential effect on adipose and vascular PAI-1 in OLETF rats. Diabetes Research and Clinical Practice. 73(1). 8–16.
11.
Kim, Myeung Ju, et al.. (2005). Immunohistochemical study of p47Phox and gp91Phox distributions in rat brain. Brain Research. 1040(1-2). 178–186. 64 indexed citations
12.
Kim, Myeung Ju, et al.. (2005). Effects of injections of glucose into the dorsal striatum on learning of place and response mazes. Behavioural Brain Research. 167(2). 373–378. 29 indexed citations
13.
Kim, Myeung Ju, Jae Woo Kim, Brian Hutchinson, et al.. (2005). Substance P immunoreactive cell reductions in cerebral cortex of Niemann–Pick disease type C mouse. Brain Research. 1043(1-2). 218–224. 1 indexed citations
14.
Zou, Kun, Dae Sung Kim, Atsuko Kakio, et al.. (2003). Amyloid β‐protein (Aβ)1–40 protects neurons from damage induced by Aβ1–42 in culture and in rat brain. Journal of Neurochemistry. 87(3). 609–619. 131 indexed citations
15.
Chung, Yoon Hee, et al.. (2001). Differential alterations in the distribution of voltage-gated calcium channels in aged rat cerebellum. Brain Research. 903(1-2). 247–252. 17 indexed citations
16.
Shin, Chung Min, et al.. (2001). Spatial and temporal distribution of pituitary adenylate cyclase activating polypeptide in gerbil global cerebral ischemia. Neuroscience Letters. 309(1). 53–56. 12 indexed citations
17.
Chung, Yoon Hee, Chung Min Shin, Myeung Ju Kim, et al.. (2001). Immunohistochemical study on the distribution of the voltage-gated potassium channels in the gerbil hippocampus. Neuroscience Letters. 298(1). 29–32. 6 indexed citations
18.
Chung, Yoon Hee, Hyun Soo Kim, Chung Min Shin, Myeung Ju Kim, & Choong Ik. (2001). Immunohistochemical study on the distribution of voltage-gated K+ channels in rat brain following transient focal ischemia. Neuroscience Letters. 308(3). 157–160. 16 indexed citations
19.
Chung, Yoon Hee, et al.. (2000). Immunocytochemical study on the distribution of p53 in the hippocampus and cerebellum of the aged rat. Brain Research. 885(1). 137–141. 25 indexed citations
20.
Chung, Yoon Hee, Chung Min Shin, Myeung Ju Kim, & Choong Ik. (2000). Immunohistochemical study on the distribution of the type I and type II voltage-gated sodium channels in the gerbil cerebellum. Neuroscience Letters. 293(1). 25–28. 2 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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