Shucheng Si

724 total citations · 1 hit paper
30 papers, 401 citations indexed

About

Shucheng Si is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shucheng Si has authored 30 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shucheng Si's work include Genetic Associations and Epidemiology (13 papers), Diabetes and associated disorders (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Shucheng Si is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Diabetes and associated disorders (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Shucheng Si collaborates with scholars based in China, Australia and Cameroon. Shucheng Si's co-authors include Fuzhong Xue, Jiqing Li, Lei Hou, Hongkai Li, Bojie Wang, Xiaolu Chen, Congcong Liu, Siyan Zhan, Hongyan Liu and Wenchao Li and has published in prestigious journals such as The Science of The Total Environment, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Shucheng Si

29 papers receiving 399 citations

Hit Papers

Identification of novel therapeutic targets for chronic k... 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shucheng Si China 14 99 80 79 76 57 30 401
Roelof A. J. Smit Netherlands 14 114 1.2× 141 1.8× 91 1.2× 75 1.0× 81 1.4× 40 511
Mohammad Hossein Gozashti Iran 12 71 0.7× 227 2.8× 106 1.3× 55 0.7× 50 0.9× 37 465
Sudhaa Sharma India 14 57 0.6× 156 1.9× 56 0.7× 42 0.6× 32 0.6× 32 508
Eirini Marouli United Kingdom 12 171 1.7× 178 2.2× 43 0.5× 86 1.1× 41 0.7× 29 444
Yu An China 13 44 0.4× 153 1.9× 84 1.1× 157 2.1× 49 0.9× 49 689
Jennifer A. Collister United Kingdom 9 69 0.7× 37 0.5× 41 0.5× 47 0.6× 60 1.1× 14 303
Camilla J. Kobylecki Denmark 14 111 1.1× 39 0.5× 86 1.1× 106 1.4× 26 0.5× 32 507
Hongli Dong China 16 23 0.2× 87 1.1× 57 0.7× 93 1.2× 44 0.8× 46 570
Juhwan Yoo South Korea 13 29 0.3× 48 0.6× 117 1.5× 51 0.7× 51 0.9× 42 401
Tsegaselassie Workalemahu United States 17 168 1.7× 80 1.0× 58 0.7× 276 3.6× 60 1.1× 46 823

Countries citing papers authored by Shucheng Si

Since Specialization
Citations

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

Fields of papers citing papers by Shucheng Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shucheng Si

This figure shows the co-authorship network connecting the top 25 collaborators of Shucheng Si. A scholar is included among the top collaborators of Shucheng Si 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 Shucheng Si. Shucheng Si 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.
Xu, Jingyi, et al.. (2025). Genetic insight into dissecting the immunophenotypes and inflammatory profiles in the pathogenesis of Sjogren syndrome. Journal of Translational Medicine. 23(1). 56–56.
2.
Zhang, Wenwen, Xiaojuan Wan, Peng Lin, et al.. (2024). The effects of Mediterranean diet on cardiovascular risk factors, glycemic control and weight loss in patients with type 2 diabetes: a meta-analysis. BMC Nutrition. 10(1). 59–59. 15 indexed citations
3.
Si, Shucheng, et al.. (2024). Identification of novel therapeutic targets for chronic kidney disease and kidney function by integrating multi-omics proteome with transcriptome. Genome Medicine. 16(1). 84–84. 37 indexed citations breakdown →
4.
Fu, Kai, Shucheng Si, Yan Zhang, et al.. (2024). Exploring antidiabetic drug targets as potential disease-modifying agents in osteoarthritis. EBioMedicine. 107. 105285–105285. 12 indexed citations
5.
Yang, Fan, et al.. (2023). Personalized prediction for multiple chronic diseases by developing the multi-task Cox learning model. PLoS Computational Biology. 19(9). e1011396–e1011396. 3 indexed citations
6.
Liu, Shu‐Lin, et al.. (2023). Association between type 1 diabetes and systemic lupus erythematosus: a Mendelian randomization study. Clinical Rheumatology. 43(1). 41–48. 2 indexed citations
7.
Cao, Yingjuan, Yuxin Li, Rong Li, et al.. (2022). The TARGET Nurses' health cohort study protocol: T owards a r evolution in ge tting nurses' health t icked. Journal of Advanced Nursing. 78(6). 1815–1823. 8 indexed citations
8.
Li, Jiqing, et al.. (2022). Effects of antipsychotics on triglyceride trajectories and its implications in CVD: A longitudinal cohort study. EBioMedicine. 81. 104123–104123. 10 indexed citations
9.
Li, Hongkai, Qīng Wáng, Yuanyuan Yu, et al.. (2022). Quantifying substantial carcinogenesis of genetic and environmental factors from measurement error in the number of stem cell divisions. BMC Cancer. 22(1). 1194–1194. 1 indexed citations
10.
Li, Chuanbao, Xiaoru Sun, Yuanyuan Yu, et al.. (2021). Genetically Predicted Insomnia in Relation to 14 Cardiovascular Conditions and 17 Cardiometabolic Risk Factors: A Mendelian Randomization Study. Journal of the American Heart Association. 10(15). e020187–e020187. 29 indexed citations
11.
Si, Shucheng, Lei Hou, Xiaolu Chen, et al.. (2021). Exploring the Causal Roles of Circulating Remnant Lipid Profile on Cardiovascular and Cerebrovascular Diseases: Mendelian Randomization Study. Journal of Epidemiology. 32(5). 205–214. 28 indexed citations
12.
Si, Shucheng, Jiqing Li, Hongkai Li, et al.. (2021). Identifying causality, genetic correlation, priority and pathways of large-scale complex exposures of breast and ovarian cancers. British Journal of Cancer. 125(11). 1570–1581. 15 indexed citations
13.
Liu, Congcong, et al.. (2021). Genomic risk score provides predictive performance for type 2 diabetes in the UK biobank. Acta Diabetologica. 58(4). 467–474. 13 indexed citations
15.
Li, Jiqing, Zhentang Zhang, Shucheng Si, & Fuzhong Xue. (2021). Leisure-Time Physical Activity and Cardiovascular Disease Risk Among Hypertensive Patients: A Longitudinal Cohort Study. Frontiers in Cardiovascular Medicine. 8. 644573–644573. 6 indexed citations
17.
Si, Shucheng, Lei Hou, Xiaolu Chen, et al.. (2021). Causal effect of sex hormone-binding globulin and testosterone on coronary heart disease: A multivariable and network Mendelian randomization analysis. International Journal of Cardiology. 339. 179–184. 14 indexed citations
18.
Wang, Lijie, et al.. (2021). Triglyceride-Glucose Index Is Not Associated With Lung Cancer Risk: A Prospective Cohort Study in the UK Biobank. Frontiers in Oncology. 11. 774937–774937. 7 indexed citations
19.
Si, Shucheng, Wenchao Li, Xiaolu Chen, et al.. (2020). Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study. Nutrition Journal. 19(1). 70–70. 17 indexed citations
20.
Hou, Lei, Hongkai Li, Shucheng Si, et al.. (2020). Exploring the causal pathway from bilirubin to CVD and diabetes in the UK biobank cohort study: Observational findings and Mendelian randomization studies. Atherosclerosis. 320. 112–121. 18 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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