Su‐Jin Yang

4.3k total citations
94 papers, 3.3k citations indexed

About

Su‐Jin Yang is a scholar working on Molecular Biology, Cancer Research and Psychiatry and Mental health. According to data from OpenAlex, Su‐Jin Yang has authored 94 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 50 papers in Cancer Research and 13 papers in Psychiatry and Mental health. Recurrent topics in Su‐Jin Yang's work include MicroRNA in disease regulation (39 papers), Circular RNAs in diseases (31 papers) and Cancer-related molecular mechanisms research (23 papers). Su‐Jin Yang is often cited by papers focused on MicroRNA in disease regulation (39 papers), Circular RNAs in diseases (31 papers) and Cancer-related molecular mechanisms research (23 papers). Su‐Jin Yang collaborates with scholars based in China, South Korea and United Kingdom. Su‐Jin Yang's co-authors include Jin‐Sang Yoon, Il‐Seon Shin, Sung‐Wan Kim, Jae‐Min Kim, Shanliang Zhong, Jinhai Tang, Jianhua Zhao, Robert Stewart, Xiu Chen and Hongyu Shen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Su‐Jin Yang

93 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su‐Jin Yang China	35	1.6k	1.4k	405	266	258	94	3.3k
Dong Han China	22	888 0.5×	809 0.6×	114 0.3×	135 0.5×	270 1.0×	94	2.1k
Christian J. Strasburger Germany	55	1.5k 0.9×	499 0.4×	197 0.5×	258 1.0×	1.1k 4.3×	213	10.0k
Thomas Christensen Denmark	29	664 0.4×	269 0.2×	293 0.7×	173 0.7×	494 1.9×	135	3.1k
Stefan Lorenzl Germany	29	683 0.4×	414 0.3×	328 0.8×	246 0.9×	278 1.1×	139	3.6k
Xia Zhang China	31	873 0.5×	213 0.2×	185 0.5×	161 0.6×	210 0.8×	141	2.9k
Xiaolei Liu China	26	472 0.3×	190 0.1×	212 0.5×	123 0.5×	217 0.8×	121	2.1k
Sumiko Yoshida Japan	36	1.5k 0.9×	146 0.1×	373 0.9×	113 0.4×	401 1.6×	150	4.4k
Toni T. Seppälä Finland	36	419 0.3×	257 0.2×	471 1.2×	645 2.4×	202 0.8×	169	4.0k
Martha M. Faraday United States	25	1.6k 1.0×	141 0.1×	981 2.4×	153 0.6×	713 2.8×	37	5.4k
Jennifer L. Steiner United States	27	730 0.4×	137 0.1×	191 0.5×	332 1.2×	308 1.2×	86	2.4k

Countries citing papers authored by Su‐Jin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Jin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Jin Yang. 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 Su‐Jin Yang. The network helps show where Su‐Jin Yang may publish in the future.

Co-authorship network of co-authors of Su‐Jin Yang

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

All Works

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20 of 20 papers shown

Yang, Su‐Jin, et al.. (2024). Exosome-delivered microRNAs confer adriamycin-resistance through modulating the immune and metabolism-related gene PTEN in HER2-negative breast cancer.. Journal of Clinical Oncology. 42(16_suppl). e12500–e12500. 1 indexed citations

Wang, Dandan, et al.. (2024). Circular RNA HSDL2 promotes breast cancer progression via miR-7978 ZNF704 axis and regulating hippo signaling pathway. Breast Cancer Research. 26(1). 105–105. 7 indexed citations

Chen, Xiu, Heda Zhang, Fang Zheng, et al.. (2024). Adipocytes promote metastasis of breast cancer by attenuating the FOXO1 effects and regulating copper homeostasis. Cancer Cell International. 24(1). 284–284. 3 indexed citations

Yang, Su‐Jin, et al.. (2022). CircRNA expression profiles of breast cancer and construction of a circRNA-miRNA-mRNA network. Scientific Reports. 12(1). 17765–17765. 9 indexed citations

Yang, Su‐Jin, et al.. (2021). Association of decreased grip strength with lower urinary tract symptoms in women: a cross‐sectional study from Korea. BMC Women s Health. 21(1). 96–96. 7 indexed citations

Zhu, Lingping, Yunjie He, Junchen Hou, et al.. (2017). The role of circRNAs in cancers. Bioscience Reports. 37(5). 81 indexed citations

Wang, Jinyan, Qian Zhang, Dandan Wang, et al.. (2017). MiR-29a : a potential therapeutic target and promising biomarker in tumors. Bioscience Reports. 38(1). 55 indexed citations

Yang, Su‐Jin, Dandan Wang, Jian Li, et al.. (2017). Predictive role of GSTP1-containing exosomes in chemotherapy-resistant breast cancer. Gene. 623. 5–14. 112 indexed citations

Zhou, Siying, Jian Li, Hanzi Xu, et al.. (2017). Liposomal curcumin alters chemosensitivity of breast cancer cells to Adriamycin via regulating microRNA expression. Gene. 622. 1–12. 34 indexed citations

10.

Yang, Fan, Jiaji Ding, Dali Yan, et al.. (2016). MiR-31 inhibits migration and invasion by targeting SATB2 in triple negative breast cancer. Gene. 594(1). 47–58. 57 indexed citations

11.

Shen, Hongyu, Liangpeng Li, Su‐Jin Yang, et al.. (2016). MicroRNA-29a contributes to drug-resistance of breast cancer cells to adriamycin through PTEN/AKT/GSK3β signaling pathway. Gene. 593(1). 84–90. 70 indexed citations

12.

Wang, Dandan, Jian Li, Huanhuan Sha, et al.. (2016). miR-222 confers the resistance of breast cancer cells to Adriamycin through suppression of p27kip1 expression. Gene. 590(1). 44–50. 22 indexed citations

13.

Shen, Hongyu, Dandan Wang, Liangpeng Li, et al.. (2016). MiR-222 promotes drug-resistance of breast cancer cells to adriamycin via modulation of PTEN/Akt/FOXO1 pathway. Gene. 596. 110–118. 83 indexed citations

14.

Chen, Xiu, Peng Lü, Ying Wu, et al.. (2016). MiRNAs-mediated cisplatin resistance in breast cancer. Tumor Biology. 37(10). 12905–12913. 24 indexed citations

15.

Chen, Xiu, Shanliang Zhong, Peng Lü, et al.. (2016). miR-4443 Participates in the Malignancy of Breast Cancer. PLoS ONE. 11(8). e0160780–e0160780. 31 indexed citations

16.

Kim, Sung‐Wan, Seon‐Young Kim, Kyung‐Yeol Bae, et al.. (2010). Risperidone versus olanzapine for the treatment of delirium. Human Psychopharmacology Clinical and Experimental. 25(4). 298–302. 67 indexed citations

17.

Kim, Jae‐Min, Robert Stewart, Kyung‐Yeol Bae, et al.. (2010). Role of BDNF val66met polymorphism on the association between physical activity and incident dementia. Neurobiology of Aging. 32(3). 551.e5–551.e12. 49 indexed citations

18.

Kim, Jae‐Min, Robert Stewart, Sung‐Wan Kim, et al.. (2009). Modification by Two Genes of Associations Between General Somatic Health and Incident Depressive Syndrome in Older People. Psychosomatic Medicine. 71(3). 286–291. 24 indexed citations

19.

Kim, Sung‐Wan, Il‐Seon Shin, Jae‐Min Kim, et al.. (2007). Amisulpride versus risperidone in the treatment of depression in patients with schizophrenia: A randomized, open-label, controlled trial. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 31(7). 1504–1509. 31 indexed citations

20.

Kim, Sung‐Wan, Jae Min Kim, Robert Stewart, et al.. (2006). Correlates of caregiver burden for Korean elders according to cognitive and functional status. International Journal of Geriatric Psychiatry. 21(9). 853–861. 32 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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