Hee‐Jae Cha

4.0k total citations
151 papers, 3.1k citations indexed

About

Hee‐Jae Cha is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Hee‐Jae Cha has authored 151 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 33 papers in Immunology and 25 papers in Cancer Research. Recurrent topics in Hee‐Jae Cha's work include Chromosomal and Genetic Variations (17 papers), Cellular Mechanics and Interactions (16 papers) and Genomics, phytochemicals, and oxidative stress (13 papers). Hee‐Jae Cha is often cited by papers focused on Chromosomal and Genetic Variations (17 papers), Cellular Mechanics and Interactions (16 papers) and Genomics, phytochemicals, and oxidative stress (13 papers). Hee‐Jae Cha collaborates with scholars based in South Korea, United States and China. Hee‐Jae Cha's co-authors include Yung Hyun Choi, Gi‐Young Kim, Cheol Park, Heui‐Soo Kim, Mee Sun Ock, Su Hyun Hong, Hyesook Lee, Suhkmann Kim, Wun‐Jae Kim and Min Ho Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Hee‐Jae Cha

144 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee‐Jae Cha South Korea 32 1.5k 343 333 324 265 151 3.1k
Jiaying Wang China 31 1.3k 0.8× 326 1.0× 286 0.9× 358 1.1× 235 0.9× 177 3.3k
Chien‐An Andy Hu United States 32 1.5k 1.0× 354 1.0× 360 1.1× 255 0.8× 458 1.7× 68 3.3k
Enzo Spisni Italy 31 1.3k 0.8× 289 0.8× 439 1.3× 184 0.6× 336 1.3× 106 3.1k
Tao Wang China 36 1.9k 1.3× 510 1.5× 428 1.3× 248 0.8× 673 2.5× 204 4.6k
Santhanam Shanmughapriya India 32 2.0k 1.3× 247 0.7× 180 0.5× 221 0.7× 281 1.1× 70 3.5k
Huan Liu China 26 1.1k 0.7× 479 1.4× 246 0.7× 259 0.8× 325 1.2× 151 2.7k
Lijuan Zhao China 36 1.7k 1.1× 1.1k 3.1× 480 1.4× 324 1.0× 283 1.1× 230 4.2k
Xiaobin Li China 34 1.5k 1.0× 305 0.9× 308 0.9× 372 1.1× 136 0.5× 207 3.8k
Weiqi Xu China 30 1.4k 0.9× 564 1.6× 502 1.5× 158 0.5× 277 1.0× 84 2.9k
Xiaotong Zhu China 29 959 0.6× 476 1.4× 242 0.7× 148 0.5× 461 1.7× 149 2.6k

Countries citing papers authored by Hee‐Jae Cha

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Jae Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Jae Cha. 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 Hee‐Jae Cha. The network helps show where Hee‐Jae Cha may publish in the future.

Co-authorship network of co-authors of Hee‐Jae Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Jae Cha. A scholar is included among the top collaborators of Hee‐Jae Cha 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 Hee‐Jae Cha. Hee‐Jae Cha 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.
Koh, Suk Bong, Hong Bae Kim, Ji Young Lee, et al.. (2024). Correlation analysis of cancer stem cell marker CD133 and human endogenous retrovirus (HERV)-K env in SKOV3 ovarian cancer cells. Genes & Genomics. 46(4). 511–518. 4 indexed citations
2.
Kim, Min‐Hye, Hyo‐Jin An, Jeongtae Kim, et al.. (2024). Functional Analysis of Membrane-Associated Scaffolding Tight Junction (TJ) Proteins in Tumorigenic Characteristics of B16-F10 Mouse Melanoma Cells. International Journal of Molecular Sciences. 25(2). 833–833. 2 indexed citations
3.
4.
Park, Jung Tak, Hyun-Chae Lee, Jeong‐Sang Lee, et al.. (2023). Inhibition of Urban Particulate Matter-Induced Airway Inflammation by RIPK3 through the Regulation of Tight Junction Protein Production. International Journal of Molecular Sciences. 24(17). 13320–13320. 3 indexed citations
5.
Park, Cheol, Hee‐Jae Cha, Da Hye Kim, et al.. (2023). Fisetin Protects C2C12 Mouse Myoblasts from Oxidative Stress-Induced Cytotoxicity through Regulation of the Nrf2/HO-1 Signaling. Journal of Microbiology and Biotechnology. 33(5). 591–599. 9 indexed citations
6.
Kim, Jung Min, Hongseok Ha, Joo Mi Yi, et al.. (2023). Human Endogenous Retrovirus-H-Derived miR-4454 Inhibits the Expression of DNAJB4 and SASH1 in Non-Muscle-Invasive Bladder Cancer. Genes. 14(7). 1410–1410. 6 indexed citations
7.
8.
Eo, Wan Kyu, Ki Hyung Kim, Ji Young Lee, et al.. (2021). Effects of thymosin β4-derived peptides on migration and invasion of ovarian cancer cells. Genes & Genomics. 43(8). 987–993. 3 indexed citations
9.
Park, Cheol, Hyun Hwangbo, Hyesook Lee, et al.. (2020). The immunostimulatory effect of indole-6-carboxaldehyde isolated from Sargassum thunbergii (Mertens) Kuntze in RAW 264.7 macrophages. Animal Cells and Systems. 24(4). 233–241. 6 indexed citations
10.
Park, Mi‐Kyung, Hyun‐Su Kim, Kyung‐Wan Baek, et al.. (2019). Induction of Angiogenesis by Malarial Infection through Hypoxia Dependent Manner. Korean Journal of Parasitology. 57(2). 117–125. 11 indexed citations
11.
Cha, Hee‐Jae & Kyoung Seob Song. (2018). Effect of MUC8 on Airway Inflammation: A Friend or a Foe?. Journal of Clinical Medicine. 7(2). 26–26. 9 indexed citations
12.
Jo, Ara, So Won Kim, Hee-Eun Lee, et al.. (2018). Multiplex PCR using YeaD and 16S rRNA gene to identify major pathogens in vibriosis of Litopenaeus vannamei. Genes & Genomics. 41(1). 35–42. 7 indexed citations
13.
Kim, Jieun, Sihyung Wang, Chanbin Lee, et al.. (2018). Blood-Stage Plasmodium Berghei ANKA Infection Promotes Hepatic Fibrosis by Enhancing Hedgehog Signaling in Mice. Cellular Physiology and Biochemistry. 50(4). 1414–1428. 14 indexed citations
14.
Jeong, Jin-Woo, Hye Hyeon Lee, Jong‐Sik Kim, et al.. (2017). Mori Folium water extract alleviates articular cartilage damages and inflammatory responses in monosodium iodoacetate-induced osteoarthritis rats. Molecular Medicine Reports. 16(4). 3841–3848. 24 indexed citations
15.
Kim, Jieun, Jeongeun Hyun, Sihyung Wang, et al.. (2017). Thymosin beta-4 regulates activation of hepatic stellate cells via hedgehog signaling. Scientific Reports. 7(1). 3815–3815. 22 indexed citations
16.
Jo, Ara, Hee-Eun Lee, Anshuman Mishra, et al.. (2017). Evolutionary conservation and expression of miR - 10a - 3p in olive flounder and rock bream. Gene. 628. 16–23. 13 indexed citations
17.
Kang, Yun‐Jeong, Kyung‐Wan Baek, Mee Sun Ock, et al.. (2016). Effect of irradiation on cytokine secretion and nitric oxide production by inflammatory macrophages. Genes & Genomics. 38(8). 717–722.
18.
Kim, Seon‐Kyu, Ju‐Seog Lee, Won-Tae Kim, et al.. (2015). Activation of EZH2 and SUZ12 Regulated by E2F1 Predicts the Disease Progression and Aggressive Characteristics of Bladder Cancer. Clinical Cancer Research. 21(23). 5391–5403. 101 indexed citations
19.
Cha, Hee‐Jae, et al.. (2014). Short Communication: Expression Profiles of Endogenous Retroviral Envelopes in Macaca mulatta (Rhesus Monkey). AIDS Research and Human Retroviruses. 30(10). 996–1000. 2 indexed citations
20.
Kim, Su-Ryun, et al.. (2010). Thymosin β4 induces the expression of vascular endothelial growth factor (VEGF) in a hypoxia-inducible factor (HIF)-1α-dependent manner. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(11). 1244–1251. 40 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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