Shan Yin

509 total citations
19 papers, 255 citations indexed

About

Shan Yin is a scholar working on Agronomy and Crop Science, Molecular Biology and Immunology. According to data from OpenAlex, Shan Yin has authored 19 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Agronomy and Crop Science, 5 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Shan Yin's work include Animal Disease Management and Epidemiology (5 papers), T-cell and Retrovirus Studies (3 papers) and Vector-Borne Animal Diseases (3 papers). Shan Yin is often cited by papers focused on Animal Disease Management and Epidemiology (5 papers), T-cell and Retrovirus Studies (3 papers) and Vector-Borne Animal Diseases (3 papers). Shan Yin collaborates with scholars based in China, Japan and United States. Shan Yin's co-authors include Shin‐nosuke Takeshima, Kosuke Okada, Satoru Konnai, Yoko Aida, Shigeru Tajima, Misao Onuma, Lei Dong, Jiangning Chen, Masahiko Takahashi and Shinobu Watarai and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Virology and British Journal of Pharmacology.

In The Last Decade

Shan Yin

17 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan Yin China	10	102	92	74	65	37	19	255
José Lorenzo Romero-Trevejo Spain	8	116 1.1×	103 1.1×	53 0.7×	86 1.3×	8 0.2×	18	314
Masami Hirota Japan	6	113 1.1×	74 0.8×	93 1.3×	62 1.0×	12 0.3×	8	357
Nicolas Rosewick Belgium	8	242 2.4×	197 2.1×	78 1.1×	148 2.3×	46 1.2×	15	327
Yi Ru China	14	59 0.6×	204 2.2×	140 1.9×	164 2.5×	74 2.0×	30	463
Uma Sinha-Datta United States	9	310 3.0×	207 2.3×	130 1.8×	206 3.2×	12 0.3×	11	440
Maria Cowen United States	10	77 0.8×	23 0.3×	168 2.3×	33 0.5×	32 0.9×	16	268
Suocheng Wei China	11	48 0.5×	67 0.7×	82 1.1×	7 0.1×	38 1.0×	58	334
M Sato Japan	7	187 1.8×	161 1.8×	54 0.7×	154 2.4×	7 0.2×	15	304
Wen Xia China	9	166 1.6×	114 1.2×	97 1.3×	8 0.1×	30 0.8×	40	408
Lele Xu China	11	40 0.4×	20 0.2×	192 2.6×	9 0.1×	82 2.2×	26	383

Countries citing papers authored by Shan Yin

Since Specialization

Citations

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

Fields of papers citing papers by Shan Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yin

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

All Works

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19 of 19 papers shown

Huang, Ke, Shan Yin, Jiahao Wang, et al.. (2024). Sexual dysfunction in patients with diabetes: association between remnant cholesterol and erectile dysfunction. Lipids in Health and Disease. 23(1). 55–55. 4 indexed citations

Cui, Jianwei, et al.. (2024). Association between the composite dietary antioxidant index and prevalence of kidney stone disease in adults: A nationally representative cross-sectional study. Journal of Functional Foods. 117. 106253–106253. 1 indexed citations

Wang, Jiahao, Shan Yin, Yaxiong Tang, et al.. (2024). Association Between Physical Activity and the Prevalence of Kidney Stones in American Adults: Results From a Multiyear National Survey. Urology. 189. 9–18. 3 indexed citations

Tang, Yaxiong, Jiahao Wang, Shan Yin, et al.. (2024). Cardiovascular health assessed by the new life’s essential 8 and the prevalence of urinary incontinence in adults. BMC Public Health. 24(1). 2136–2136.

Xiao, Yuzhou, Shan Yin, Jianwei Cui, et al.. (2024). Association between magnesium depletion score and the prevalence of kidney stones in the low primary income ratio: a cross-sectional study of NHANES 2007–2018. International Journal of Surgery. 110(12). 7636–7646. 9 indexed citations

Cui, Kuiqing, et al.. (2023). Transcriptome analyses reveal transcriptional profiles of horse oocytes before and after in vitro maturation. Reproduction in Domestic Animals. 58(10). 1468–1479.

Li, Zhipeng, et al.. (2021). Single-Cell RNA-Seq Revealed the Gene Expression Pattern during the In Vitro Maturation of Donkey Oocytes. Genes. 12(10). 1640–1640. 12 indexed citations

Zhang, Liyuan, Shan Yin, Xiaoquan Li, et al.. (2020). Preparation of swine ISG15 polyclonal antibody and its application in classical swine fever virus. The Thai Journal of Veterinary Medicine. 50(3). 417–429. 1 indexed citations

Wang, Yao, et al.. (2018). Viral vectors as a novel tool for clinical and neuropsychiatric research applications. General Psychiatry. 31(2). e000015–e000015. 9 indexed citations

10.

Li, Xingyu, et al.. (2015). Expression and Function of HAX-1 in Human Cutaneous Squamous Cell Carcinoma. Journal of Cancer. 6(4). 351–359. 11 indexed citations

11.

Li, Xingyu, Bo You, Shan Yin, et al.. (2015). STMN1 overexpression correlates with biological behavior in human cutaneous squamous cell carcinoma. Pathology - Research and Practice. 211(11). 816–823. 16 indexed citations

12.

Zhang, Zhengping, Zhongfei Gao, Wei Hu, et al.. (2013). 3,3′‐Diindolylmethane ameliorates experimental hepatic fibrosis via inhibiting miR‐21 expression. British Journal of Pharmacology. 170(3). 649–660. 30 indexed citations

13.

Yin, Shan, Zhen Huang, Qian Zhu, et al.. (2013). 3,3′-Diindolymethane ameliorates adriamycin-induced cardiac fibrosis via activation of a BRCA1-dependent anti-oxidant pathway. Pharmacological Research. 70(1). 139–146. 21 indexed citations

14.

Zhang, Hongyun, Jingjing Liang, Hui Li, et al.. (2012). Molecular epidemiology of PRRSV from China’s Guangxi Province between 2007 and 2009. Virus Genes. 46(1). 71–80. 6 indexed citations

15.

Feng, Li, Xiaoquan Li, Xiaoning Li, et al.. (2012). In vitroinfection with classical swine fever virus inhibits the transcription of immune response genes. Virology Journal. 9(1). 175–175. 15 indexed citations

16.

Moghe, Gaurav D., Melissa D. Lehti‐Shiu, Shan Yin, et al.. (2012). Characteristics and Significance of Intergenic Polyadenylated RNA Transcription in Arabidopsis . PLANT PHYSIOLOGY. 161(1). 210–224. 20 indexed citations

17.

Takahashi, Masahiko, Shigeru Tajima, Shin‐nosuke Takeshima, et al.. (2004). Ex vivo survival of peripheral blood mononuclear cells in sheep induced by bovine leukemia virus (BLV) mainly occurs in CD5– B cells that express BLV. Microbes and Infection. 6(6). 584–595. 14 indexed citations

18.

Konnai, Satoru, Shin‐nosuke Takeshima, Shigeru Tajima, et al.. (2003). The Influence of Ovine MHC Class IIDRB1Alleles on Immune Response in Bovine Leukemia Virus Infection. Microbiology and Immunology. 47(3). 223–232. 38 indexed citations

19.

Tajima, Shigeru, Masahiko Takahashi, Shin‐nosuke Takeshima, et al.. (2003). A Mutant Form of the Tax Protein of Bovine Leukemia Virus (BLV), with Enhanced Transactivation Activity, Increases Expression and Propagation of BLV In Vitro but Not In Vivo. Journal of Virology. 77(3). 1894–1903. 45 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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