Sun Bo Shim

468 total citations
32 papers, 390 citations indexed

About

Sun Bo Shim is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sun Bo Shim has authored 32 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sun Bo Shim's work include Alzheimer's disease research and treatments (11 papers), Nuclear Receptors and Signaling (5 papers) and Selenium in Biological Systems (3 papers). Sun Bo Shim is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Nuclear Receptors and Signaling (5 papers) and Selenium in Biological Systems (3 papers). Sun Bo Shim collaborates with scholars based in South Korea, United States and Japan. Sun Bo Shim's co-authors include Dae Youn Hwang, Yong K. Kim, Jung S. Cho, Jin Tae Hong, Seok H. Lee, Jae Ho Oh, Kab Ryong Chae, Jinho Kim, Do Hyun Ryu and Ho-Sub Lee and has published in prestigious journals such as Neuroscience, Cardiovascular Research and Life Sciences.

In The Last Decade

Sun Bo Shim

29 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Bo Shim South Korea 11 154 127 81 57 36 32 390
Lara M. Gomes Brazil 13 171 1.1× 116 0.9× 43 0.5× 47 0.8× 29 0.8× 28 536
Nakaba Murata Japan 6 137 0.9× 248 2.0× 83 1.0× 109 1.9× 22 0.6× 8 432
Giovannangelo Oriani Italy 12 131 0.9× 118 0.9× 75 0.9× 35 0.6× 81 2.3× 14 596
Meryem Çam Türkiye 11 123 0.8× 90 0.7× 42 0.5× 28 0.5× 29 0.8× 13 459
Antônio Rafael Quadros Gomes Brazil 11 109 0.7× 75 0.6× 47 0.6× 66 1.2× 31 0.9× 28 446
Michela Scamosci Italy 7 117 0.8× 157 1.2× 67 0.8× 42 0.7× 49 1.4× 14 391
Mariana Liza Spain 4 118 0.8× 55 0.4× 50 0.6× 50 0.9× 78 2.2× 5 580
Maha A.E. Ahmed Egypt 12 174 1.1× 40 0.3× 60 0.7× 57 1.0× 28 0.8× 16 457
Cemil Özgül Türkiye 11 132 0.9× 151 1.2× 85 1.0× 20 0.4× 32 0.9× 15 481
Euteum Park South Korea 10 134 0.9× 47 0.4× 34 0.4× 42 0.7× 34 0.9× 16 371

Countries citing papers authored by Sun Bo Shim

Since Specialization
Citations

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

Fields of papers citing papers by Sun Bo Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Bo Shim. 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 Sun Bo Shim. The network helps show where Sun Bo Shim may publish in the future.

Co-authorship network of co-authors of Sun Bo Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Bo Shim. A scholar is included among the top collaborators of Sun Bo Shim 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 Sun Bo Shim. Sun Bo Shim 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.
2.
Shim, Sun Bo, Jong‐Won Kim, Silke Schepelmann, et al.. (2023). Report on the seventh meeting of national control laboratories for vaccines and biologicals of the WHO Western Pacific and South-East Asia member states. Biologicals. 84. 101712–101712. 2 indexed citations
3.
Kim, Jung Hwan, Kyung‐Jong Won, Seung Hyo Jung, et al.. (2015). DJ-1 protects against undernutrition-induced atrophy through inhibition of the MAPK–ubiquitin ligase pathway in myoblasts. Life Sciences. 143. 50–57. 7 indexed citations
4.
Shim, Sun Bo, In Sik Hwang, Young Ju Lee, et al.. (2013). Nicastrin Overexpression in Transgenic Mice Induces Aberrant Behavior and APP Processing. Molecular Neurobiology. 48(1). 232–243. 8 indexed citations
5.
Kim, Yo Na, In Sik Hwang, Ji Eun Kim, et al.. (2013). Proteomic analysis of kidneys from selenoprotein M transgenic rats in response to increased bioability of selenium. Clinical Proteomics. 10(1). 10–10. 7 indexed citations
6.
Shim, Sun Bo, et al.. (2013). Green tea catechin leads to global improvement among Alzheimer's disease-related phenotypes in NSE/hAPP-C105 Tg mice. The Journal of Nutritional Biochemistry. 24(7). 1302–1313. 61 indexed citations
7.
Choi, Sung Yong, Ji Eun Kim, So Hee Nam, et al.. (2011). γ-Secretase 활성억제단백질인 TMP21의 과발현이 신경세포주에서 NGF 수용체 신호전달과 정에 미치는 영향. 생명과학회지. 21(8). 1134–1141. 4 indexed citations
8.
Lee, Jae‐Won, et al.. (2011). Detection of Allergenic Compounds Using an IL-4/Luciferase/CNS-1 Transgenic Mice Model. Toxicological Sciences. 120(2). 349–359. 9 indexed citations
9.
Shim, Sun Bo, et al.. (2009). Distribution and Seasonal Fluctuation of Bacteria Isolated from Mice and Rats. Laboratory Animal Research. 25(4). 295–301. 1 indexed citations
10.
Kim, Min Sun, et al.. (2008). Phthalic Anhydride Can Induce the Difference on Skin Inflammation and Interleukin-4 Expression in BALB/c, TG2576 and NOD Mice. Laboratory Animal Research. 24(1). 27–31. 1 indexed citations
11.
Shim, Sun Bo, et al.. (2008). Nicotine Leads to Improvements in Behavioral Impairment and an Increase in the Nicotine Acetylcholine Receptor in Transgenic Mice. Neurochemical Research. 33(9). 1783–1788. 24 indexed citations
12.
Hwang, Dae Youn, Jung S. Cho, Kab Ryong Chae, et al.. (2007). PEN-2 Overexpression Induces γ-Secretase Protein and its Activity with Amyloid β-42 Production. Neurochemical Research. 32(6). 1016–1023. 6 indexed citations
13.
Shim, Sun Bo, et al.. (2007). Tau overexpression in transgenic mice induces glycogen synthase kinase 3β and β-catenin phosphorylation. Neuroscience. 146(2). 730–740. 16 indexed citations
14.
Shim, Sun Bo, et al.. (2006). Survey on Current Status of Laboratory Animals for Establishing New National Policy. Laboratory Animal Research. 22(1). 49–53. 1 indexed citations
15.
Cho, Jung S., Dae Yeon Hwang, Sun Bo Shim, et al.. (2006). Oligonucleotide-based Analysis of Differentially Expressed Genes in Hippocampus of Transgenic Mice Expressing NSE-controlled APPsw. Neurochemical Research. 31(8). 1035–1044. 7 indexed citations
16.
Hwang, Dae Yeon, et al.. (2005). Aging-related Correlation of Insulin-degrading Enzyme with γ-Secretase-generated Products Involving Insulin and Glucose Levels in Transgenic Mice. Neurochemical Research. 30(9). 1171–1177. 10 indexed citations
17.
Cho, Jung S., Jae Ho Oh, Sun Bo Shim, et al.. (2005). Tau and GSK3β Dephosphorylations are Required for Regulating Pin1 Phosphorylation. Neurochemical Research. 30(8). 955–961. 18 indexed citations
18.
Hwang, Dae Youn, Jung S. Cho, Jae Ho Oh, et al.. (2005). Differentially Expressed Genes in Transgenic Mice Carrying Human Mutant Presenilin-2 (N141I): Correlation of Selenoprotein M with Alzheimer’s Disease. Neurochemical Research. 30(8). 1009–1019. 42 indexed citations
19.
Hwang, Dae Youn, Jung S. Cho, Jae Ho Oh, et al.. (2005). Early Changes in Behavior Deficits, Amyloid β-42 Deposits and MAPK Activation in Doubly Transgenic Mice Co-expressing NSE-Controlled Human Mutant PS2 and APPsw. Cellular and Molecular Neurobiology. 25(5). 881–898. 4 indexed citations
20.
Cho, Jung S., Jae Ho Oh, Sun Bo Shim, et al.. (2005). NSE-Controlled Carboxyl-Terminus of APP Gene Over-Expressing in Transgenic Mice Induces Altered Expressions in Behavior, Aβ-42, and GSK3β Binding Proteins. Cellular and Molecular Neurobiology. 25(5). 833–850. 11 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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