Yujuan Qin

681 total citations
9 papers, 310 citations indexed

About

Yujuan Qin is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yujuan Qin has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Yujuan Qin's work include MicroRNA in disease regulation (3 papers), RNA modifications and cancer (2 papers) and Circular RNAs in diseases (2 papers). Yujuan Qin is often cited by papers focused on MicroRNA in disease regulation (3 papers), RNA modifications and cancer (2 papers) and Circular RNAs in diseases (2 papers). Yujuan Qin collaborates with scholars based in China, United States and Israel. Yujuan Qin's co-authors include Raoying Xie, Huiyan Wang, Dong Xiao, Xiaolin Lin, Lin Chen, Wei-Chao Hao, Sheng Yang, Wei Fang, Taoyan Lin and Wentao Zhao and has published in prestigious journals such as PLoS ONE, Medicine and Oncotarget.

In The Last Decade

Yujuan Qin

8 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujuan Qin China	7	192	174	73	66	28	9	310
Wei-Chao Hao China	9	216 1.1×	156 0.9×	74 1.0×	74 1.1×	29 1.0×	12	348
Xiaowei Xi China	13	296 1.5×	204 1.2×	82 1.1×	52 0.8×	42 1.5×	19	419
Taoyan Lin China	8	149 0.8×	115 0.7×	68 0.9×	74 1.1×	24 0.9×	13	261
Alexander E. Kudinov United States	5	235 1.2×	94 0.5×	70 1.0×	24 0.4×	12 0.4×	6	314
Marianna Buttarelli Italy	13	179 0.9×	88 0.5×	129 1.8×	38 0.6×	41 1.5×	19	320
Giridhar Shivalingaiah Austria	6	192 1.0×	63 0.4×	89 1.2×	59 0.9×	27 1.0×	7	308
Daniil Nikitin Russia	10	218 1.1×	112 0.6×	41 0.6×	37 0.6×	24 0.9×	14	317
Hui-Zi Chen United States	4	277 1.4×	96 0.6×	144 2.0×	31 0.5×	32 1.1×	5	363
Laura Caleca Italy	9	242 1.3×	149 0.9×	57 0.8×	26 0.4×	86 3.1×	11	332
Sara E. Meyer United States	10	223 1.2×	50 0.3×	50 0.7×	60 0.9×	79 2.8×	18	325

Countries citing papers authored by Yujuan Qin

Since Specialization

Citations

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

Fields of papers citing papers by Yujuan Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujuan Qin

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Li, Yuting, Yu‐Hong Chen, Kaiyong Cai, et al.. (2025). Interactions between glioblastoma and myeloid cells. Frontiers in Cell and Developmental Biology. 13. 1632122–1632122. 1 indexed citations

2.

Liu, Xin, et al.. (2021). The Educational Reform and Exploration of Data Communication Technology Under the Blending Model of School, Enterprise, Industry and Education.

3.

Qin, Yujuan, Taoyan Lin, Xiaolin Lin, et al.. (2020). Loss of PDK4 expression promotes proliferation, tumorigenicity, motility and invasion of hepatocellular carcinoma cells. Journal of Cancer. 11(15). 4397–4405. 15 indexed citations

4.

Xie, Raoying, Xiaolin Lin, Tao Du, et al.. (2016). Targeted Disruption of miR-17-92 Impairs Mouse Spermatogenesis by Activating mTOR Signaling Pathway. Medicine. 95(7). e2713–e2713. 55 indexed citations

5.

Chen, Chun, Jie Yang, Wei-Chao Hao, et al.. (2016). MiR‐17‐5p promotes cancer cell proliferation and tumorigenesis in nasopharyngeal carcinoma by targeting p21. Cancer Medicine. 5(12). 3489–3499. 54 indexed citations

6.

Rong, Xiaoxiang, Wei Fang, Xiaolin Lin, et al.. (2015). Recognition and killing of cancer stem-like cell population in hepatocellular carcinoma cells by cytokine-induced killer cells via NKG2d-ligands recognition. OncoImmunology. 5(3). e1086060–e1086060. 35 indexed citations

7.

Lin, Xiaolin, Jun-Shuang Jia, Yujuan Qin, et al.. (2015). Simple and rapid determination of homozygous transgenic mice viain vivofluorescence imaging. Oncotarget. 6(36). 39073–39087. 9 indexed citations

8.

Wei, Fang, Xiaoxiang Rong, Raoying Xie, et al.. (2015). Cytokine-induced killer cells efficiently kill stem-like cancer cells of nasopharyngeal carcinoma via the NKG2D-ligands recognition. Oncotarget. 6(33). 35023–35039. 40 indexed citations

9.

Wang, Shengchun, Xiaolin Lin, Jing Li, et al.. (2014). MicroRNA-122 Triggers Mesenchymal-Epithelial Transition and Suppresses Hepatocellular Carcinoma Cell Motility and Invasion by Targeting RhoA. PLoS ONE. 9(7). e101330–e101330. 101 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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