Hay-Ran Jang

456 total citations
9 papers, 359 citations indexed

About

Hay-Ran Jang is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Hay-Ran Jang has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Hay-Ran Jang's work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and Microtubule and mitosis dynamics (3 papers). Hay-Ran Jang is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers) and Microtubule and mitosis dynamics (3 papers). Hay-Ran Jang collaborates with scholars based in South Korea, United Kingdom and United States. Hay-Ran Jang's co-authors include Hyungshin Yim, Rong Xu, Hyun Yong Jeong, June-Sik Cho, Chang-Hyeon Kim, Kyu‐Sang Song, Hyang‐Sook Yoo, Seung‐Moo Noh, Mirang Kim and Daeun Kim and has published in prestigious journals such as Cancer Research, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Hay-Ran Jang

9 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hay-Ran Jang South Korea	8	263	94	80	71	60	9	359
Yi Hong China	13	217 0.8×	101 1.1×	55 0.7×	42 0.6×	44 0.7×	18	344
Qianze Dong China	13	320 1.2×	83 0.9×	44 0.6×	122 1.7×	63 1.1×	17	418
Tatiana Y. Prudnikova Russia	13	267 1.0×	97 1.0×	56 0.7×	78 1.1×	149 2.5×	21	404
Jingde Chen China	10	279 1.1×	90 1.0×	78 1.0×	128 1.8×	44 0.7×	21	370
Ryan H. Livengood United States	8	172 0.7×	83 0.9×	33 0.4×	53 0.7×	68 1.1×	17	301
Sonja E. Volker United States	4	308 1.2×	101 1.1×	30 0.4×	107 1.5×	58 1.0×	5	408
Shunsuke Ebara Japan	7	208 0.8×	68 0.7×	31 0.4×	88 1.2×	65 1.1×	15	325
Jeroen M. Bugter Netherlands	6	304 1.2×	102 1.1×	39 0.5×	82 1.2×	38 0.6×	6	411
Tressa M. Allington United States	4	220 0.8×	163 1.7×	49 0.6×	81 1.1×	23 0.4×	4	345
Junyu Tan China	8	269 1.0×	95 1.0×	28 0.3×	102 1.4×	39 0.7×	11	348

Countries citing papers authored by Hay-Ran Jang

Since Specialization

Citations

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

Fields of papers citing papers by Hay-Ran Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hay-Ran Jang. 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 Hay-Ran Jang. The network helps show where Hay-Ran Jang may publish in the future.

Co-authorship network of co-authors of Hay-Ran Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Hay-Ran Jang. A scholar is included among the top collaborators of Hay-Ran Jang 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 Hay-Ran Jang. Hay-Ran Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Jang, Hay-Ran, et al.. (2021). PLK1/vimentin signaling facilitates immune escape by recruiting Smad2/3 to PD-L1 promoter in metastatic lung adenocarcinoma. Cell Death and Differentiation. 28(9). 2745–2764. 62 indexed citations

Kim, Hee‐Jin, Eun‐Hye Seo, Hay-Ran Jang, et al.. (2020). Methylation of the CDX2 promoter in Helicobacter pylori-infected gastric mucosa increases with age and its rapid demethylation in gastric tumors is associated with upregulated gene expression. Carcinogenesis. 41(10). 1341–1352. 6 indexed citations

Kim, Chang-Hyeon, et al.. (2020). Combination of Inhibitors of USP7 and PLK1 has a Strong Synergism against Paclitaxel Resistance. International Journal of Molecular Sciences. 21(22). 8629–8629. 19 indexed citations

Jang, Hay-Ran, et al.. (2019). Active PLK1-driven metastasis is amplified by TGF-β signaling that forms a positive feedback loop in non-small cell lung cancer. Oncogene. 39(4). 767–785. 60 indexed citations

Woo, Sang‐Uk, Hay-Ran Jang, Young‐Won Chin, & Hyungshin Yim. (2018). 7-O-Methylwogonin from Scutellaria baicalensis Disturbs Mitotic Progression by Inhibiting Plk1 Activity in Hep3B Cells. Planta Medica. 85(3). 217–224. 9 indexed citations

Kim, Mirang, Hay-Ran Jang, Tae-Wook Kang, et al.. (2010). Frequent silencing of popeye domain-containing genes, BVES and POPDC3 , is associated with promoter hypermethylation in gastric cancer. Carcinogenesis. 31(9). 1685–1693. 47 indexed citations

Kim, Mirang, Jeonghwan Kim, Hay-Ran Jang, et al.. (2008). LRRC3B , Encoding a Leucine-Rich Repeat-Containing Protein, Is a Putative Tumor Suppressor Gene in Gastric Cancer. Cancer Research. 68(17). 7147–7155. 46 indexed citations

Kim, Mirang, Kyung‐Tae Lee, Hay-Ran Jang, et al.. (2008). Epigenetic Down-Regulation and Suppressive Role of DCBLD2 in Gastric Cancer Cell Proliferation and Invasion. Molecular Cancer Research. 6(2). 222–230. 38 indexed citations

Kim, Moonkoo, Hay-Ran Jang, Jeong‐Hoon Kim, et al.. (2007). Epigenetic inactivation of protein kinase D1 in gastric cancer and its role in gastric cancer cell migration and invasion. Carcinogenesis. 29(3). 629–637. 72 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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