Yu Kang

2.7k total citations · 1 hit paper
72 papers, 1.2k citations indexed

About

Yu Kang is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, Yu Kang has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Reproductive Medicine and 14 papers in Oncology. Recurrent topics in Yu Kang's work include Ovarian cancer diagnosis and treatment (14 papers), Cancer-related molecular mechanisms research (7 papers) and Reproductive Biology and Fertility (6 papers). Yu Kang is often cited by papers focused on Ovarian cancer diagnosis and treatment (14 papers), Cancer-related molecular mechanisms research (7 papers) and Reproductive Biology and Fertility (6 papers). Yu Kang collaborates with scholars based in China, United States and Australia. Yu Kang's co-authors include Congjian Xu, Anil K. Sood, Yong He, Yufang Zheng, Wei Hu, Rajesha Rupaimoole, Mingjun Xie, Yuewei Chen, Qing Gao and Tongyao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and JNCI Journal of the National Cancer Institute.

In The Last Decade

Yu Kang

66 papers receiving 1.2k citations

Hit Papers

Gelatin Methacryloyl Hydr... 2023 2026 2024 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gelatin Methacryloyl Hydrogel, from Standardization, Performance, to Biomedical Application
    2023 157 citations Qing Gao, Tongyao Wang et al. Advanced Healthcare Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Kang China 19 534 217 175 164 151 72 1.2k
Cinzia Zucchini Italy 19 416 0.8× 178 0.8× 141 0.8× 160 1.0× 225 1.5× 51 1.2k
Monia Orciani Italy 27 567 1.1× 281 1.3× 253 1.4× 215 1.3× 363 2.4× 85 1.9k
William J. King United States 21 325 0.6× 112 0.5× 231 1.3× 61 0.4× 227 1.5× 37 1.3k
Tomoko Hashimoto Japan 20 640 1.2× 321 1.5× 72 0.4× 115 0.7× 141 0.9× 63 1.5k
Unai Silván Spain 20 339 0.6× 86 0.4× 365 2.1× 71 0.4× 65 0.4× 56 1.3k
Yun Liao China 21 327 0.6× 157 0.7× 123 0.7× 153 0.9× 73 0.5× 46 908
Jie Ding Canada 29 423 0.8× 79 0.4× 385 2.2× 72 0.4× 201 1.3× 65 2.5k
Andrew L. Laslett Australia 26 1.2k 2.3× 82 0.4× 398 2.3× 95 0.6× 74 0.5× 46 1.9k
Aleksandra Klimczak Poland 25 383 0.7× 209 1.0× 201 1.1× 92 0.6× 354 2.3× 103 2.1k
Yoshinosuke Hamada Japan 20 365 0.7× 140 0.6× 255 1.5× 117 0.7× 42 0.3× 36 1.0k

Countries citing papers authored by Yu Kang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Kang. 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 Yu Kang. The network helps show where Yu Kang may publish in the future.

Co-authorship network of co-authors of Yu Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Kang. A scholar is included among the top collaborators of Yu Kang 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 Yu Kang. Yu Kang 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.
2.
Kang, Yu, et al.. (2024). Segmentation and multiparametric evaluation of corneal whorl-like nerves for in vivo confocal microscopy images in dry eye disease. BMJ Open Ophthalmology. 9(1). e001861–e001861. 1 indexed citations
3.
Chen, Yiqing, Yan Ning, Bing Yu, et al.. (2024). MRI grading for informed clinical decision-making in Peutz–Jeghers syndrome patients with cervical lesions. Scientific Reports. 14(1). 23731–23731. 1 indexed citations
4.
Zhang, Yishu, Hailiang Wang, Yu Fu, et al.. (2024). All-2D-Materials Subthreshold-Free Field-Effect Transistor with Near-Ideal Switching Slope. ACS Nano. 18(31). 20236–20246. 9 indexed citations
5.
6.
Xu, Congjian, et al.. (2024). Clinical characteristics and status of treatment of small-cell carcinoma of the ovary, hypercalcemic type in the Chinese population: a meta-analysis. Journal of Gynecologic Oncology. 35(4). e96–e96. 2 indexed citations
7.
Chen, Haohan, Yu Kang, Dong Pu, et al.. (2023). Introduction of defects in hexagonal boron nitride for vacancy-based 2D memristors. Nanoscale. 15(9). 4309–4316. 34 indexed citations
8.
Lu, Chong, et al.. (2023). Chronic Stress Blocks the Endometriosis Immune Response by Metabolic Reprogramming. International Journal of Molecular Sciences. 25(1). 29–29. 5 indexed citations
9.
Gao, Qing, Tongyao Wang, Mingjun Xie, et al.. (2023). Gelatin Methacryloyl Hydrogel, from Standardization, Performance, to Biomedical Application. Advanced Healthcare Materials. 12(23). e2300395–e2300395. 157 indexed citations breakdown →
10.
Zhang, Jian, Qianzhou Yu, Danlu Jiang, et al.. (2022). Epithelial Gasdermin D shapes the host-microbial interface by driving mucus layer formation. Science Immunology. 7(68). eabk2092–eabk2092. 86 indexed citations
11.
Liu, Bo, et al.. (2022). Three-dimensional auxetic structure design methods based on bulking-induced deformation and the application in soft crawling robot. Composites Part B Engineering. 244. 110146–110146. 43 indexed citations
12.
Wen, Yunfei, Ying Wang, Anca Chelariu-Raicu, et al.. (2020). Blockade of the Short Form of Prolactin Receptor Induces FOXO3a/EIF-4EBP1–Mediated Cell Death in Uterine Cancer. Molecular Cancer Therapeutics. 19(9). 1943–1954. 4 indexed citations
13.
Wang, Jing, et al.. (2020). Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer. Journal of Ovarian Research. 13(1). 119–119. 13 indexed citations
14.
Li, Yang, Shanshan Yang, Nouara C. Sadaoui, et al.. (2020). Sustained Adrenergic Activation of YAP1 Induces Anoikis Resistance in Cervical Cancer Cells. iScience. 23(7). 101289–101289. 9 indexed citations
15.
Guo, Guojun, Sen Ren, Yu Kang, et al.. (2019). Microarray analyses of lncRNAs and mRNAs expression profiling associated with diabetic peripheral neuropathy in rats. Journal of Cellular Biochemistry. 120(9). 15347–15359. 23 indexed citations
16.
17.
Huang, Jie, Wei Hu, Limin Hu, et al.. (2016). Dll4 Inhibition plus Aflibercept Markedly Reduces Ovarian Tumor Growth. Molecular Cancer Therapeutics. 15(6). 1344–1352. 41 indexed citations
18.
Kang, Yu, Archana S. Nagaraja, Guillermo N. Armaiz-Peña, et al.. (2015). Adrenergic Stimulation of DUSP1 Impairs Chemotherapy Response in Ovarian Cancer. Clinical Cancer Research. 22(7). 1713–1724. 77 indexed citations
19.
Lee, Sun Joo, Sukhen C. Ghosh, Hee Dong Han, et al.. (2012). Metronomic Activity of CD44-Targeted Hyaluronic Acid-Paclitaxel in Ovarian Carcinoma. Clinical Cancer Research. 18(15). 4114–4121. 36 indexed citations
20.
Zhang, Xiaoyan, Jun Chen, Yufang Zheng, et al.. (2009). Follicle-Stimulating Hormone Peptide Can Facilitate Paclitaxel Nanoparticles to Target Ovarian Carcinoma In vivo. Cancer Research. 69(16). 6506–6514. 80 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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