Young Wan Ham

962 total citations
28 papers, 704 citations indexed

About

Young Wan Ham is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Young Wan Ham has authored 28 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Oncology. Recurrent topics in Young Wan Ham's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Antimicrobial Peptides and Activities (4 papers). Young Wan Ham is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Antimicrobial Peptides and Activities (4 papers). Young Wan Ham collaborates with scholars based in United States, South Korea and Sweden. Young Wan Ham's co-authors include Jin Tae Hong, Sang‐Bae Han, Hee Pom Lee, Dong Ju Son, Chul Ju Hwang, Min Jong Song, Ho Sueb Song, Mats Hellström, Eun Kyung Park and Yong Sun Lee and has published in prestigious journals such as Scientific Reports, British Journal of Pharmacology and Cancer Letters.

In The Last Decade

Young Wan Ham

28 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Wan Ham United States 15 303 123 111 98 89 28 704
Hee Pom Lee South Korea 15 267 0.9× 61 0.5× 100 0.9× 115 1.2× 86 1.0× 32 673
Eun-Jung Lee South Korea 13 395 1.3× 61 0.5× 151 1.4× 91 0.9× 58 0.7× 15 754
Jieun Shin South Korea 18 510 1.7× 186 1.5× 65 0.6× 114 1.2× 119 1.3× 59 1.1k
Qiyun Wu Hong Kong 13 223 0.7× 72 0.6× 47 0.4× 42 0.4× 53 0.6× 25 521
Chong Yan China 18 273 0.9× 73 0.6× 37 0.3× 60 0.6× 39 0.4× 75 901
Silvia Grottelli Italy 14 476 1.6× 59 0.5× 83 0.7× 69 0.7× 106 1.2× 29 754
Wutigri Nimlamool Thailand 18 329 1.1× 79 0.6× 61 0.5× 107 1.1× 53 0.6× 52 833
M. Sebastin Santhosh India 18 454 1.5× 231 1.9× 43 0.4× 69 0.7× 64 0.7× 29 1.1k
Hwan Soo Yoo South Korea 13 420 1.4× 140 1.1× 26 0.2× 104 1.1× 147 1.7× 21 836

Countries citing papers authored by Young Wan Ham

Since Specialization
Citations

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

Fields of papers citing papers by Young Wan Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Wan Ham. 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 Young Wan Ham. The network helps show where Young Wan Ham may publish in the future.

Co-authorship network of co-authors of Young Wan Ham

This figure shows the co-authorship network connecting the top 25 collaborators of Young Wan Ham. A scholar is included among the top collaborators of Young Wan Ham 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 Young Wan Ham. Young Wan Ham 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.
Lee, Yong Sun, Hee Pom Lee, Young Wan Ham, et al.. (2022). G721-0282 Exerts Anxiolytic-Like Effects on Chronic Unpredictable Mild Stress in Mice Through Inhibition of Chitinase-3-Like 1-Mediated Neuroinflammation. Frontiers in Cellular Neuroscience. 16. 793835–793835. 9 indexed citations
2.
Lee, Yong Sun, Ji Eun Yu, Ki Cheon Kim, et al.. (2021). A small molecule targeting CHI3L1 inhibits lung metastasis by blocking IL‐13Rα2‐mediated JNK‐AP‐1 signals. Molecular Oncology. 16(2). 508–526. 26 indexed citations
3.
Park, Kyung‐Ran, Hyung‐Mun Yun, Kyeong‐Won Yoo, et al.. (2020). Chitinase 3 like 1 suppresses the stability and activity of p53 to promote lung tumorigenesis. Cell Communication and Signaling. 18(1). 5–5. 14 indexed citations
4.
Han, Sang‐Bae, Jaesuk Yun, In Jun Yeo, et al.. (2019). Bee venom phospholipase A2 ameliorates amyloidogenesis and neuroinflammation through inhibition of signal transducer and activator of transcription-3 pathway in Tg2576 mice. Translational Neurodegeneration. 8(1). 26–26. 18 indexed citations
5.
6.
Gu, Sun Mi, Hee Pom Lee, Young Wan Ham, et al.. (2018). Piperlongumine Improves Lipopolysaccharide-Induced Amyloidogenesis by Suppressing NF-KappaB Pathway. NeuroMolecular Medicine. 20(3). 312–327. 35 indexed citations
7.
Kim, Young‐Eun, Chul Ju Hwang, Hee Pom Lee, et al.. (2017). Inhibitory effect of punicalagin on lipopolysaccharide-induced neuroinflammation, oxidative stress and memory impairment via inhibition of nuclear factor-kappaB. Neuropharmacology. 117. 21–32. 127 indexed citations
8.
Son, Dong Ju, Jie Zheng, Yu Yeon Jung, et al.. (2017). MMPP Attenuates Non-Small Cell Lung Cancer Growth by Inhibiting the STAT3 DNA-Binding Activity via Direct Binding to the STAT3 DNA-Binding Domain. Theranostics. 7(18). 4632–4642. 38 indexed citations
9.
Jung, Yu Yeon, Dong Ju Son, Hye Lim Lee, et al.. (2017). Loss of Parkin reduces inflammatory arthritis by inhibiting p53 degradation. Redox Biology. 12. 666–673. 24 indexed citations
10.
Son, Dong Ju, Dae Hwan Kim, Seong‐Su Nah, et al.. (2016). Novel synthetic (E)-2-methoxy-4-(3-(4-methoxyphenyl) prop-1-en-1-yl) phenol inhibits arthritis by targeting signal transducer and activator of transcription 3. Scientific Reports. 6(1). 36852–36852. 12 indexed citations
11.
Gu, Sun Mi, Mi Hee Park, Chul Ju Hwang, et al.. (2015). Bee venom ameliorates lipopolysaccharide-induced memory loss by preventing NF-kappaB pathway. Journal of Neuroinflammation. 12(1). 124–124. 59 indexed citations
12.
Ban, Jung Ok, Chul Ju Hwang, Mi Hee Park, et al.. (2015). Enhanced cell growth inhibition by thiacremonone in paclitaxel-treated lung cancer cells. Archives of Pharmacal Research. 38(7). 1351–1362. 7 indexed citations
13.
Hwang, Chul Ju, Yu Yeon Jung, Hyung‐Mun Yun, et al.. (2014). Anti-cancer effect of tectochrysin in NSCLC cells through overexpression of death receptor and inactivation of STAT3. Cancer Letters. 353(1). 95–103. 33 indexed citations
14.
Jung, Yu Yeon, Chul Ju Hwang, Sang Min Lee, et al.. (2014). Inhibitory effect of ent-Sauchinone on amyloidogenesis via inhibition of STAT3-mediated NF-κB activation in cultured astrocytes and microglial BV-2 cells. Journal of Neuroinflammation. 11(1). 118–118. 45 indexed citations
15.
Ban, Jung Ok, Young-Suk Jung, Dae Hwan Kim, et al.. (2013). (E)-2,4-Bis(p-hydroxyphenyl)-2-butenal inhibits tumor growth via suppression of NF-κB and induction of death receptor 6. APOPTOSIS. 19(1). 165–178. 12 indexed citations
16.
17.
Ham, Young Wan, Marina Y. Fosso, Ravi Rai, et al.. (2013). Investigation of antibacterial mode of action for traditional and amphiphilic aminoglycosides. Bioorganic & Medicinal Chemistry Letters. 23(6). 1671–1675. 20 indexed citations
18.
19.
Ham, Young Wan, et al.. (2011). Rational design of SAM analogues targeting SAM-II riboswitch aptamer. Bioorganic & Medicinal Chemistry Letters. 21(17). 5071–5074. 4 indexed citations
20.
Ham, Young Wan, et al.. (2011). Conjugate of neamine and 2-deoxystreptamine mimic connected by an amide bond. Bioorganic & Medicinal Chemistry Letters. 21(16). 4713–4715. 7 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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