Sung‐Moo Kim

1.5k total citations
33 papers, 1.2k citations indexed

About

Sung‐Moo Kim is a scholar working on Molecular Biology, Oncology and Toxicology. According to data from OpenAlex, Sung‐Moo Kim has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Toxicology. Recurrent topics in Sung‐Moo Kim's work include Bioactive Compounds and Antitumor Agents (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Natural product bioactivities and synthesis (5 papers). Sung‐Moo Kim is often cited by papers focused on Bioactive Compounds and Antitumor Agents (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Natural product bioactivities and synthesis (5 papers). Sung‐Moo Kim collaborates with scholars based in South Korea, Singapore and United States. Sung‐Moo Kim's co-authors include Kwang Seok Ahn, Dongwoo Nam, Bum Sang Shim, Kyoo Seok Ahn, Sung‐Hoon Kim, Hyeung-Jin Jang, Chulwon Kim, Seung‐Hoon Choi, Seok‐Geun Lee and Jong Hyun Lee and has published in prestigious journals such as Annals of Oncology, Journal of Ethnopharmacology and European Journal of Pharmacology.

In The Last Decade

Sung‐Moo Kim

33 papers receiving 1.2k citations

Peers

Sung‐Moo Kim
Anna L. Greenshields Canada
Sunil Sharma India
Jaemoo Chun South Korea
Manzar Alam India
M. Nagabhushan United States
Hong‐Zin Lee Taiwan
Nan Ma China
Zebo Jiang China
Bethsebie Lalduhsaki Sailo India
Do Young Lim United States
Anna L. Greenshields Canada
Sung‐Moo Kim
Citations per year, relative to Sung‐Moo Kim Sung‐Moo Kim (= 1×) peers Anna L. Greenshields

Countries citing papers authored by Sung‐Moo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Moo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Moo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Moo Kim. A scholar is included among the top collaborators of Sung‐Moo 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 Sung‐Moo Kim. Sung‐Moo 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.
Choi, J.J., E. J. Jeon, Jy Kim, et al.. (2024). Upgrade of the NaI(Tl) crystal encapsulation for the NEON experiment. Journal of Instrumentation. 19(10). P10020–P10020. 2 indexed citations
2.
Jeon, E. J., Jy Kim, K.W. Kim, et al.. (2023). Exploring coherent elastic neutrino-nucleus scattering using reactor electron antineutrinos in the NEON experiment. The European Physical Journal C. 83(3). 21 indexed citations
3.
Kang, Han Na, Mi Ran Yun, Hye Ryun Kim, et al.. (2016). ER2, a novel human anti-EGFR monoclonal antibody inhibit tumor activity in non-small cell lung cancer models. Lung Cancer. 95. 57–64. 6 indexed citations
4.
Pyo, Kyoung‐Ho, Sun Min Lim, Hye Ryun Kim, et al.. (2016). Establishment of a Conditional Transgenic Mouse Model Recapitulating EML4-ALK –Positive Human Non–Small Cell Lung Cancer. Journal of Thoracic Oncology. 12(3). 491–500. 20 indexed citations
5.
Kang, Chan Woo, Jinyoung Sohn, Sung‐Moo Kim, et al.. (2015). Antitumor Activity and Acquired Resistance Mechanism of Dovitinib (TKI258) in RET -Rearranged Lung Adenocarcinoma. Molecular Cancer Therapeutics. 14(10). 2238–2248. 16 indexed citations
6.
Nam, Dongwoo, Jun-Ho Song, Sung‐Moo Kim, et al.. (2014). 8-Hydrocalamenene, Derived from Reynoutria elliptica , Suppresses Constitutive STAT3 Activation, Inhibiting Proliferation and Enhancing Chemosensitization of Human Multiple Myeloma Cells. Journal of Medicinal Food. 17(3). 365–373. 10 indexed citations
7.
Kim, Sung‐Moo, Dongwoo Nam, Bum Sang Shim, et al.. (2013). Brassinin Induces Apoptosis in PC‐3 Human Prostate Cancer Cells through the Suppression of PI3K/Akt/mTOR/S6K1 Signaling Cascades. Phytotherapy Research. 28(3). 423–431. 46 indexed citations
8.
9.
Baek, Seung Ho, Sung‐Moo Kim, Dongwoo Nam, et al.. (2012). Antimetastatic effect of nobiletin through the down-regulation of CXC chemokine receptor type 4 and matrix metallopeptidase-9. Pharmaceutical Biology. 50(10). 1210–1218. 37 indexed citations
10.
Park, Kyung‐Ran, Sung‐Moo Kim, Hyung‐Mun Yun, et al.. (2012). A Hexane Fraction of Guava Leaves ( Psidium guajava L.) Induces Anticancer Activity by Suppressing AKT/Mammalian Target of Rapamycin/Ribosomal p70 S6 Kinase in Human Prostate Cancer Cells. Journal of Medicinal Food. 15(3). 231–241. 72 indexed citations
11.
Lee, Kyungjin, Jeong-Sook Lee, Hyeung-Jin Jang, et al.. (2012). Chlorogenic acid ameliorates brain damage and edema by inhibiting matrix metalloproteinase-2 and 9 in a rat model of focal cerebral ischemia. European Journal of Pharmacology. 689(1-3). 89–95. 105 indexed citations
12.
Lee, Eunjung, Chulwon Kim, Jin-Young Kim, et al.. (2011). Inhibition of LPS-induced inflammatory biomarkers by ethyl acetate fraction ofPatrinia scabiosaefoliathrough suppression of NF-κB activation in RAW 264.7 cells. Immunopharmacology and Immunotoxicology. 34(2). 282–291. 19 indexed citations
13.
Kim, Sung‐Moo, Kyung‐Ran Park, Sang‐Yoon Park, et al.. (2011). Embelin suppresses STAT3 signaling, proliferation, and survival of multiple myeloma via the protein tyrosine phosphatase PTEN. Cancer Letters. 308(1). 71–80. 79 indexed citations
14.
15.
Kim, Sung‐Moo, Kyung‐Ran Park, Hyeung-Jin Jang, et al.. (2010). Decursin chemosensitizes human multiple myeloma cells through inhibition of STAT3 signaling pathway. Cancer Letters. 301(1). 29–37. 28 indexed citations
16.
Kim, Sung‐Moo, Kyung‐Ran Park, Hyeung-Jin Jang, et al.. (2010). Methylene chloride fraction of the leaves of Thuja orientalis inhibits in vitro inflammatory biomarkers by blocking NF-κB and p38 MAPK signaling and protects mice from lethal endotoxemia. Journal of Ethnopharmacology. 133(2). 687–695. 27 indexed citations
17.
Lee, Jung, Howard A. Young, Tae Won Choi, et al.. (2010). Cellular Uptake of Ginsenosides in Korean White Ginseng and Red Ginseng and Their Apoptotic Activities in Human Breast Cancer Cells. Planta Medica. 77(2). 133–140. 40 indexed citations
18.
Lee, Jung‐Hoon, Hyo‐Jeong Lee, Chanhee Lee, et al.. (2009). Ethanolic Hwaeumjeon induces mitochondrial dependent apoptosis partly via PI3K/AKT/HSP27/ERK pathways and inhibits PSA and AR in LNCaP cells. Environmental Toxicology and Pharmacology. 28(1). 78–85. 3 indexed citations
19.
Cheon, Seong Ha, Sun Young Rha, Hei‐Cheul Jeung, et al.. (2008). Survival benefit of combined curative resection of the stomach (D2 resection) and liver in gastric cancer patients with liver metastases. Annals of Oncology. 19(6). 1146–1153. 145 indexed citations
20.
Park, Byong Seo, Jin‐Won Kim, Sung‐Moo Kim, & Young‐Doo Park. (2005). Characterization of a pollen-preferential gene, BAN102, from Chinese cabbage. Plant Cell Reports. 24(11). 663–670. 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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