Sisi Yang

3.4k total citations · 2 hit papers
171 papers, 2.3k citations indexed

About

Sisi Yang is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Sisi Yang has authored 171 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Physiology, 30 papers in Epidemiology and 28 papers in Molecular Biology. Recurrent topics in Sisi Yang's work include Nutritional Studies and Diet (21 papers), Liver Disease Diagnosis and Treatment (18 papers) and Folate and B Vitamins Research (10 papers). Sisi Yang is often cited by papers focused on Nutritional Studies and Diet (21 papers), Liver Disease Diagnosis and Treatment (18 papers) and Folate and B Vitamins Research (10 papers). Sisi Yang collaborates with scholars based in China, United States and Germany. Sisi Yang's co-authors include Yubi Huang, Hai Du, Yixiong Tang, Panpan He, Chun Zhou, Zhe Liang, Lei Liu, Xianhui Qin, Ziliang Ye and Yuanyuan Zhang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sisi Yang

151 papers receiving 2.3k citations

Hit Papers

Genome-wide analysis of the MYB transcription factor supe... 2012 2026 2016 2021 2012 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sisi Yang China 23 964 511 321 197 187 171 2.3k
Jun Lü China 28 961 1.0× 278 0.5× 206 0.6× 124 0.6× 239 1.3× 156 2.6k
Lihua Zhang China 24 923 1.0× 234 0.5× 380 1.2× 162 0.8× 227 1.2× 128 2.2k
Han Wang China 27 1.0k 1.0× 223 0.4× 407 1.3× 320 1.6× 172 0.9× 178 2.8k
Shun Zhang China 30 990 1.0× 183 0.4× 392 1.2× 188 1.0× 329 1.8× 152 2.8k
Zhiqiang Huang China 30 764 0.8× 222 0.4× 230 0.7× 227 1.2× 250 1.3× 140 2.4k
Junling Yang China 34 1.6k 1.7× 213 0.4× 232 0.7× 150 0.8× 257 1.4× 109 3.2k
Martine C. Morrison Netherlands 23 863 0.9× 235 0.5× 739 2.3× 512 2.6× 342 1.8× 53 2.7k
Junfeng Li China 28 1.3k 1.3× 149 0.3× 297 0.9× 216 1.1× 335 1.8× 216 3.0k
Kanita Salic Netherlands 18 807 0.8× 155 0.3× 350 1.1× 254 1.3× 160 0.9× 23 1.9k
Luisa Siculella Italy 29 1.2k 1.3× 194 0.4× 532 1.7× 388 2.0× 112 0.6× 102 3.0k

Countries citing papers authored by Sisi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sisi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sisi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sisi Yang. A scholar is included among the top collaborators of Sisi 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 Sisi Yang. Sisi Yang 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
2.
Yang, Sisi, et al.. (2024). Extracellular self-DNA as a DAMP signal for induced systemic resistance to anthracnose rot in postharvest loquat fruit via EjRAV2-EjERF39 module. Postharvest Biology and Technology. 216. 113023–113023. 3 indexed citations
3.
Wang, Xue, Qian Wu, Ying Chen, et al.. (2024). Adipocyte-derived ferroptotic signaling mitigates obesity. Cell Metabolism. 37(3). 673–691.e7. 19 indexed citations
4.
Ye, Ziliang, Panpan He, Qimeng Wu, et al.. (2024). Different cardiovascular risks associated with elevated creatinine-based eGFR and cystatin C-based eGFR. PubMed. 1(1). 1 indexed citations
5.
Ye, Ziliang, Yanjun Zhang, Sisi Yang, et al.. (2024). Large-Scale Proteomics Improve Prediction of Chronic Kidney Disease in People With Diabetes. Diabetes Care. 47(10). 1757–1763. 7 indexed citations
6.
Gan, Xiaoqin, Panpan He, Chun Zhou, et al.. (2024). Dietary folate status among Chinese adults and its association with chronic kidney disease prevalence. 3(3). e00079–e00079.
7.
Shen, Leiting, Kun Zhu, Sisi Yang, et al.. (2024). Key platelet genes play important roles in predicting the prognosis of sepsis. Scientific Reports. 14(1). 23530–23530. 2 indexed citations
8.
Xiang, Hao, Chun Zhou, Xiaoqin Gan, et al.. (2024). Relationship of Serum 25‐Hydroxyvitamin D Concentrations, Diabetes, Vitamin D Receptor Gene Polymorphisms and Incident Venous Thromboembolism. Diabetes/Metabolism Research and Reviews. 41(1). e70014–e70014. 3 indexed citations
9.
Xiang, Hao, Yu Huang, Panpan He, et al.. (2024). Clinical biomarker–based biological ageing and the risk of adverse outcomes in patients with chronic kidney disease. Age and Ageing. 53(11). 3 indexed citations
10.
Yang, Sisi, Ziliang Ye, Yanjun Zhang, et al.. (2023). Associations of different serum folate forms with indices of nonalcoholic fatty liver disease and advanced fibrosis. Obesity Research & Clinical Practice. 17(1). 58–65. 14 indexed citations
11.
Zhang, Yuanyuan, Ziliang Ye, Sisi Yang, et al.. (2023). Mobile Phone Use and Risks of Overall and 25 Site-Specific Cancers: A Prospective Study from the UK Biobank Study. Cancer Epidemiology Biomarkers & Prevention. 33(1). 88–95. 7 indexed citations
12.
Zhou, Chun, Yanjun Zhang, Ziliang Ye, et al.. (2023). Relationship among serum 25-hydroxyvitamin D, fibrosis stage, genetic susceptibility, and risk of severe liver disease. Nutrition. 119. 112320–112320. 6 indexed citations
13.
Liu, Mengyi, Sisi Yang, Ziliang Ye, et al.. (2023). Tea Consumption and New-Onset Acute Kidney Injury: The Effects of Milk or Sweeteners Addition and Caffeine/Coffee. Nutrients. 15(9). 2201–2201. 7 indexed citations
14.
Ye, Ziliang, Yanjun Zhang, Yuanyuan Zhang, et al.. (2023). Mobile phone calls, genetic susceptibility, and new-onset hypertension: results from 212 046 UK Biobank participants. European Heart Journal - Digital Health. 4(3). 165–174. 4 indexed citations
15.
Zhang, Min, et al.. (2022). The hypoxia-inducible factor prolyl hydroxylase inhibitor FG4592 promotes natriuresis through upregulation of COX2 in the renal medulla. Hypertension Research. 45(5). 814–823. 2 indexed citations
16.
Liu, Mengyi, Ziliang Ye, Qimeng Wu, et al.. (2022). Folate intake and incident chronic kidney disease: a 30-year follow-up study from young adulthood to midlife. American Journal of Clinical Nutrition. 116(2). 599–607. 7 indexed citations
17.
Zhou, Chun, Panpan He, Ziliang Ye, et al.. (2022). Relationships of Serum 25-Hydroxyvitamin D Concentrations, Diabetes, Genetic Susceptibility, and New-Onset Chronic Kidney Disease. Diabetes Care. 45(11). 2518–2525. 9 indexed citations
18.
Yang, Sisi, Jiayi Chen, Tricia Tan, et al.. (2020). Evodiamine Exerts Anticancer Effects Against 143B and MG63 Cells Through the Wnt/β-Catenin Signaling Pathway. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Gorb, Elena V., et al.. (2019). The contact separation force of the fruit burrs from five plant taxa dispersing by epizoochory. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 154(1). 38–48. 7 indexed citations
20.
Dong, Minhui, Jingwen Wu, Xueping Yu, et al.. (2018). Validation and comparison of seventeen noninvasive models for evaluating liver fibrosis in Chinese hepatitis B patients. Liver International. 38(9). 1562–1570. 35 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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