Jiangcheng Shi

1.2k total citations · 1 hit paper
16 papers, 847 citations indexed

About

Jiangcheng Shi is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Jiangcheng Shi has authored 16 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cancer Research and 2 papers in Rheumatology. Recurrent topics in Jiangcheng Shi's work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (6 papers). Jiangcheng Shi is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (6 papers). Jiangcheng Shi collaborates with scholars based in China and Macao. Jiangcheng Shi's co-authors include Qinghua Cui, Yuan Zhou, Jianwei Li, Chunmei Cui, Yuanxu Gao, Shan Zhang, Zhou Huang, Jichun Yang, Weili Yang and Yong Zhou and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Jiangcheng Shi

15 papers receiving 829 citations

Hit Papers

HMDD v3.0: a database for experimentally supported human ... 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. HMDD v3.0: a database for experimentally supported human microRNA–disease associations
    2018 577 citations Zhou Huang, Jiangcheng Shi et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangcheng Shi China 9 716 647 42 36 23 16 847
Ashwini Jeggari Sweden 7 550 0.8× 541 0.8× 28 0.7× 10 0.3× 59 2.6× 8 654
Chenqi Lu China 13 471 0.7× 230 0.4× 38 0.9× 4 0.1× 47 2.0× 28 622
Yanjun Wei China 15 608 0.8× 196 0.3× 41 1.0× 9 0.3× 127 5.5× 34 726
Yincheng Teng China 13 319 0.4× 199 0.3× 81 1.9× 6 0.2× 71 3.1× 38 534
Alexandros Nicolaou Germany 4 832 1.2× 726 1.1× 73 1.7× 3 0.1× 21 0.9× 4 929
Sepideh Dashti Iran 15 315 0.4× 292 0.5× 46 1.1× 5 0.1× 36 1.6× 27 462
Cheng-Chung Cheng Taiwan 8 252 0.4× 143 0.2× 44 1.0× 4 0.1× 23 1.0× 9 376
Natalia Baulina Russia 14 271 0.4× 204 0.3× 113 2.7× 4 0.1× 12 0.5× 42 474

Countries citing papers authored by Jiangcheng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jiangcheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangcheng Shi

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

All Works

16 of 16 papers shown
1.
Shen, Yicong, Yuanxu Gao, Jiangcheng Shi, et al.. (2022). MicroRNA–Disease Network Analysis Repurposes Methotrexate for the Treatment of Abdominal Aortic Aneurysm in Mice. Genomics Proteomics & Bioinformatics. 21(5). 1030–1042. 5 indexed citations
2.
Zhou, Yiran, Jiangcheng Shi, Junting Yang, et al.. (2022). Potential genetic biomarkers predict adverse pregnancy outcome during early and mid-pregnancy in women with systemic lupus erythematosus. Frontiers in Endocrinology. 13. 957010–957010. 5 indexed citations
3.
Shi, Jiangcheng, et al.. (2022). Identification of Candidate Genes in Breast Cancer Induced by Estrogen Plus Progestogens Using Bioinformatic Analysis. International Journal of Molecular Sciences. 23(19). 11892–11892. 8 indexed citations
4.
Li, Jianwei, et al.. (2021). SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec. BMC Bioinformatics. 22(1). 538–538. 22 indexed citations
5.
6.
Shi, Jiangcheng, et al.. (2020). MicroRNA Profiling in Paired Left and Right Eyes, Lungs, and Testes of Normal Mice. Molecular Therapy — Nucleic Acids. 21. 687–695. 3 indexed citations
7.
Shi, Jiangcheng & Qinghua Cui. (2020). sTAM: An Online Tool for the Discovery of miRNA-Set Level Disease Biomarkers. Molecular Therapy — Nucleic Acids. 21. 670–675. 3 indexed citations
8.
Huang, Zhou, Yuanxu Gao, Jiangcheng Shi, et al.. (2019). Benchmark of computational methods for predicting microRNA-disease associations. Genome biology. 20(1). 202–202. 36 indexed citations
9.
Peng, Hui, Yang Bai, Nanhu Quan, et al.. (2019). The value of plasma fibrillin-1 level in patients with spontaneous coronary artery dissection. International Journal of Cardiology. 302. 150–156. 12 indexed citations
10.
Gao, Yuanxu, et al.. (2019). A Computational Model to Predict the Causal miRNAs for Diseases. Frontiers in Genetics. 10. 935–935. 12 indexed citations
11.
Cui, Chunmei, Bing Shi, Jiangcheng Shi, Yuan Zhou, & Qinghua Cui. (2019). Defining the Importance Score of Human MicroRNAs and Their Single Nucleotide Mutants Using Random Forest Regression and Sequence Data. Advanced Theory and Simulations. 2(9). 3 indexed citations
12.
Gao, Yuanxu, et al.. (2019). Annotation and curation of the causality information in LncRNADisease. Database. 2020. 2 indexed citations
13.
Li, Jianwei, et al.. (2019). MISIM v2.0: a web server for inferring microRNA functional similarity based on microRNA-disease associations. Nucleic Acids Research. 47(W1). W536–W541. 53 indexed citations
14.
Cui, Chunmei, Weili Yang, Jiangcheng Shi, et al.. (2018). Identification and Analysis of Human Sex-Biased MicroRNAs. Genomics Proteomics & Bioinformatics. 16(3). 200–211. 98 indexed citations
15.
Huang, Zhou, Jiangcheng Shi, Yuanxu Gao, et al.. (2018). HMDD v3.0: a database for experimentally supported human microRNA–disease associations. Nucleic Acids Research. 47(D1). D1013–D1017. 577 indexed citations breakdown →
16.
Zhu, Yuequan, et al.. (2017). A potential role of microRNAs in protein accumulation in cellular senescence analyzed by bioinformatics. PLoS ONE. 12(6). e0179034–e0179034. 8 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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