Yujian Shi

8.6k total citations
21 papers, 603 citations indexed

About

Yujian Shi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yujian Shi has authored 21 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Yujian Shi's work include BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (5 papers) and DNA Repair Mechanisms (4 papers). Yujian Shi is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (5 papers) and DNA Repair Mechanisms (4 papers). Yujian Shi collaborates with scholars based in China, Hong Kong and United States. Yujian Shi's co-authors include Jianying Yuan, Binghang Liu, Hailiang Li, Jian Weng, Yijun Mao, Weiwei Liu, Yonghua Wang, Jiajie Zhang, Yingrui Li and Yanxiang Chen and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Yujian Shi

21 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujian Shi China	12	301	144	90	86	85	21	603
Michal Chorev Israel	6	220 0.7×	53 0.4×	104 1.2×	56 0.7×	39 0.5×	11	439
Runnan Qi China	4	643 2.1×	110 0.8×	17 0.2×	102 1.2×	84 1.0×	7	859
Tobias Jakobi Germany	16	642 2.1×	91 0.6×	100 1.1×	47 0.5×	172 2.0×	25	833
Renee Gaspard United States	8	744 2.5×	143 1.0×	17 0.2×	108 1.3×	99 1.2×	10	1.0k
Jong Wha J. Joo South Korea	14	621 2.1×	455 3.2×	40 0.4×	46 0.5×	81 1.0×	28	1.0k
Elmer A. Fernández Argentina	14	293 1.0×	64 0.4×	21 0.2×	39 0.5×	76 0.9×	51	608
Linda Cheung United Kingdom	17	347 1.2×	141 1.0×	147 1.6×	13 0.2×	55 0.6×	26	1.0k
Jianbo Wang China	11	485 1.6×	199 1.4×	74 0.8×	119 1.4×	88 1.0×	20	697
Dominique Mercier France	14	216 0.7×	392 2.7×	74 0.8×	109 1.3×	61 0.7×	33	898
Xiangqun Zheng-Bradley United Kingdom	9	400 1.3×	275 1.9×	21 0.2×	58 0.7×	82 1.0×	11	719

Countries citing papers authored by Yujian Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yujian Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujian Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yujian Shi. A scholar is included among the top collaborators of Yujian Shi 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 Yujian Shi. Yujian Shi 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

Hao, Shuai, et al.. (2022). Assessing the Variations in Breast/Ovarian Cancer Risk for Chinese BRCA1/2 Carriers. Journal of Oncology. 2022. 1–10. 1 indexed citations

Shi, Yujian, et al.. (2020). Retrospective reinterpretation and reclassification of BRCA1/2 variants from Chinese population. Breast Cancer. 27(6). 1158–1167. 8 indexed citations

Guo, Yuanli, et al.. (2020). Molecular Profiling Reveals Common and Specific Development Processes in Different Types of Gynecologic Cancers. Frontiers in Oncology. 10. 584793–584793. 7 indexed citations

Liu, Yun, Zeyao Zhu, Idy H. T. Ho, et al.. (2020). Genetic Deletion of miR-430 Disrupts Maternal-Zygotic Transition and Embryonic Body Plan. Frontiers in Genetics. 11. 853–853. 15 indexed citations

Wang, Jiayu, Yujian Shi, Tao Sun, et al.. (2019). Germline mutation landscape of Chinese patients with familial breast/ovarian cancer in a panel of 22 susceptibility genes. Cancer Medicine. 8(5). 2074–2084. 17 indexed citations

Yi, Dandan, Lei Xu, Jia‐Qi Luo, et al.. (2019). Germline TP53 and MSH6 mutations implicated in sporadic triple-negative breast cancer (TNBC): a preliminary study. Human Genomics. 13(1). 4–4. 13 indexed citations

Li, Hailiang, Jian Weng, Yujian Shi, et al.. (2018). An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images. Scientific Reports. 8(1). 6600–6600. 135 indexed citations

Shi, Yujian, Matthew T.V. Chan, Gang Peng, et al.. (2018). Developmental protein kinase C hyper-activation results in microcephaly and behavioral abnormalities in zebrafish. Translational Psychiatry. 8(1). 232–232. 7 indexed citations

Xie, Rong, Weiwei Li, Lu Yang, et al.. (2018). BRCA germline mutations in an unselected nationwide cohort of Chinese patients with ovarian cancer and healthy controls. Gynecologic Oncology. 151(1). 145–152. 29 indexed citations

10.

Tian, Yuanyuan, Xiaodong Liu, Hui Yu, et al.. (2017). Targeted Genotyping Identifies Susceptibility Locus in Brain-derived Neurotrophic Factor Gene for Chronic Postsurgical Pain. Anesthesiology. 128(3). 587–597. 32 indexed citations

11.

Liu, Yun, Zeyao Zhu, Idy H. T. Ho, et al.. (2017). Germline-specific dgcr8 knockout in zebrafish using a BACK approach. Cellular and Molecular Life Sciences. 74(13). 2503–2511. 14 indexed citations

12.

Cui, Weiti, Dan Zhu, Wenbiao Shen, et al.. (2017). Hydrogen Peroxide Is Involved in β-Cyclodextrin-hemin Complex-Induced Lateral Root Formation in Tomato Seedlings. Frontiers in Plant Science. 8. 1445–1445. 6 indexed citations

13.

Zhu, Dan, Yujian Shi, Yong Ren, et al.. (2016). Involvement of glutathione in β-cyclodextrin-hemin complex-induced lateral root formation in tomato seedlings. Journal of Plant Physiology. 204. 92–100. 15 indexed citations

14.

Wang, Yu, Wei Li, Yanqing Tang, et al.. (2015). Identifying Human Genome-Wide CNV, LOH and UPD by Targeted Sequencing of Selected Regions. PLoS ONE. 10(4). e0123081–e0123081. 31 indexed citations

15.

Lee, Jeeyun, Cheol-Keun Park, Mao Mao, et al.. (2014). Whole-genome sequencing of matched primary and metastatic hepatocellular carcinomas. BMC Medical Genomics. 7(1). 2–2. 29 indexed citations

16.

Shi, Yujian. (2014). SOAPsnv: An integrated tool for somatic single-nucleotide variants detection with or without normal tissues in cancer genome.. Journal of Clinical Oncology. 32(15_suppl). e22086–e22086. 3 indexed citations

17.

You, Hong, Yong Xie, Rui Cong, et al.. (2014). Novel host genetic variations associated with spontaneous clearance of a single-source outbreak of HCV1b infections. BMJ Open Gastroenterology. 1(1). e000010–e000010. 2 indexed citations

18.

Liu, Binghang, Jianying Yuan, Siu‐Ming Yiu, et al.. (2012). COPE: an accurate k-mer-based pair-end reads connection tool to facilitate genome assembly. Bioinformatics. 28(22). 2870–2874. 110 indexed citations

19.

Hu, Xuesong, Jianying Yuan, Yujian Shi, et al.. (2012). pIRS: Profile-based Illumina pair-end reads simulator. Bioinformatics. 28(11). 1533–1535. 124 indexed citations

20.

Yang, Wenxing, et al.. (2007). [Role of sGC-cGMP pathway in CO-mediated regulation of respiratory rhythm].. PubMed. 38(4). 595–8. 2 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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