Yu Ji

890 total citations · 1 hit paper
34 papers, 640 citations indexed

About

Yu Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Yu Ji has authored 34 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Yu Ji's work include Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Air Quality and Health Impacts (4 papers). Yu Ji is often cited by papers focused on Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Air Quality and Health Impacts (4 papers). Yu Ji collaborates with scholars based in China, United States and United Kingdom. Yu Ji's co-authors include Yuchuan Ding, Longfei Guan, James Yip, Shaolong Hao, Xiaokun Geng, Wei Han, Jonathan R. Warren, Hao Sun, Eric Cosky and Huishan Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Environmental Pollution.

In The Last Decade

Yu Ji

34 papers receiving 625 citations

Hit Papers

Factors Influencing Gallstone Formation: A Review of the ... 2022 2026 2023 2024 2022 25 50 75 100
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. Factors Influencing Gallstone Formation: A Review of the Literature
    2022 101 citations Hao Sun, Jonathan R. Warren et al. Biomolecules profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Ji China 13 114 110 96 94 88 34 640
Kunming Tian China 14 265 2.3× 105 1.0× 68 0.7× 77 0.8× 76 0.9× 40 917
Hong Qiu China 22 169 1.5× 312 2.8× 132 1.4× 55 0.6× 47 0.5× 61 1.6k
Ming Han China 17 206 1.8× 95 0.9× 66 0.7× 36 0.4× 317 3.6× 42 1.0k
Shijie Zhu China 16 130 1.1× 65 0.6× 62 0.6× 36 0.4× 83 0.9× 80 650
Valeria Y. Hebert United States 14 103 0.9× 58 0.5× 72 0.8× 25 0.3× 162 1.8× 21 660
Karim Ibrahim Germany 16 107 0.9× 170 1.5× 85 0.9× 42 0.4× 11 0.1× 79 954
Zhenhan Li China 15 106 0.9× 57 0.5× 58 0.6× 14 0.1× 75 0.9× 63 626
Dov Gefel Israel 15 248 2.2× 103 0.9× 32 0.3× 35 0.4× 43 0.5× 35 1.1k
K Nagai Japan 12 132 1.2× 78 0.7× 42 0.4× 21 0.2× 129 1.5× 44 771

Countries citing papers authored by Yu Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ji. A scholar is included among the top collaborators of Yu Ji 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 Yu Ji. Yu Ji 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.
Hao, Shaolong, Yu Ji, Hao Sun, et al.. (2023). Long non-coding RNA BANCR promotes pancreatic cancer lymphangiogenesis and lymphatic metastasis by regulating the HIF-1α/VEGF-C/VEGFR-3 pathway via miR-143-5p. Genes & Diseases. 11(4). 101015–101015. 2 indexed citations
2.
Zhang, Yan, Haitao Sun, Yu Ji, et al.. (2023). Effects of aspirin on colon cancer using quantitative proteomic analysis. SHILAP Revista de lepidopterología. 2(2). 121–131. 2 indexed citations
3.
Zhang, Weinan, Rong-Rong Xie, Gang Wan, et al.. (2022). Effect of Hemoglobin A1c Trajectories on Future Outcomes in a 10-Year Cohort With Type 2 Diabetes Mellitus. Frontiers in Endocrinology. 13. 846823–846823. 4 indexed citations
4.
Tang, Hong, et al.. (2022). The Association Between the Decline of eGFR and a Reduction of Hemoglobin A1c in Type 2 Diabetic Patients. Frontiers in Endocrinology. 12. 723720–723720. 6 indexed citations
5.
Ding, Yuchuan, et al.. (2022). Advancements in our understanding of circular and long non-coding RNAs in spinal cord injury. Neural Regeneration Research. 17(11). 2399–2399. 5 indexed citations
6.
Sun, Hao, Jonathan R. Warren, James Yip, et al.. (2022). Factors Influencing Gallstone Formation: A Review of the Literature. Biomolecules. 12(4). 550–550. 101 indexed citations breakdown →
7.
Chen, Linhui, Hong Tang, Qun Yuan, et al.. (2021). Clinical Inertia and 2-Year Glycaemic Trajectories in Patients with Non-Newly Diagnosed Type 2 Diabetes Mellitus in Primary Care: A Retrospective Cohort Study. Patient Preference and Adherence. Volume 15. 2497–2508. 8 indexed citations
8.
Cosky, Eric, Fengwu Li, Longfei Guan, et al.. (2021). An inhibitory and beneficial effect of chlorpromazine and promethazine (C + P) on hyperglycolysis through HIF-1α regulation in ischemic stroke. Brain Research. 1763. 147463–147463. 18 indexed citations
9.
10.
Li, Fengwu, Zhiying Yang, Christopher Stone, et al.. (2019). Phenothiazines Enhance the Hypothermic Preservation of Liver Grafts: A Pilot in Vitro Study. Cell Transplantation. 28(3). 318–327. 6 indexed citations
11.
Du, Chenqiu, Baizhan Li, Hong Liu, et al.. (2019). Quantification of personal thermal comfort with localized airflow system based on sensitivity analysis and classification tree model. Energy and Buildings. 194. 1–11. 36 indexed citations
12.
Ji, Yu, Kenneth Elkin, James Yip, et al.. (2019). From circadian clocks to non-alcoholic fatty liver disease. Expert Review of Gastroenterology & Hepatology. 13(11). 1107–1112. 12 indexed citations
13.
Du, Jiang, Yu Ji, Liang Qiao, Yanli Liu, & Juntang Lin. (2019). Cellular endo‐lysosomal dysfunction in the pathogenesis of non‐alcoholic fatty liver disease. Liver International. 40(2). 271–280. 22 indexed citations
14.
Zhuang, Xiongjie, et al.. (2018). [Effects of berberine on the serum cystatin C levels and urine albumin/creatine ratio in patients with type 2 diabetes mellitus].. PubMed. 98(46). 3756–3761. 11 indexed citations
15.
Ji, Yu. (2015). Experimental Study on Energy Conservation Performance of Hot-Wall Kang with Heating Collector. Journal of Shenyang Jianzhu University. 1 indexed citations
16.
17.
Ji, Yu. (2013). Study on the Temporal and Spatial Characteristics of Atmospheric Particulates and the Factors. Journal of Shenyang Jianzhu University. 1 indexed citations
18.
Ji, Yu. (2013). Research of antidiabetic activites of polysaccharides from Anoectochilus roxburghii. Strait Pharmaceutical Journal. 2 indexed citations
19.
Ji, Yu, et al.. (2007). Bladder Preserving Treatment in Patients with Muscle Invasive Bladder Cancer.. Radiation Oncology Journal. 25(2). 70–78. 1 indexed citations
20.
Ji, Yu, et al.. (1995). Physiological indicators and susceptibility of plants to acidifying atmospheric pollution: A multivariate approach. Environmental Pollution. 87(2). 159–166. 27 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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