Jie Wen

1.3k total citations
37 papers, 843 citations indexed

About

Jie Wen is a scholar working on Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jie Wen has authored 37 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Molecular Biology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jie Wen's work include Cancer-related molecular mechanisms research (6 papers), Pain Mechanisms and Treatments (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Jie Wen is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Pain Mechanisms and Treatments (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Jie Wen collaborates with scholars based in China, Sweden and Ireland. Jie Wen's co-authors include Bin Lü, Renming Hu, Zhaoyun Zhang, Xuanchun Wang, Xiaoming Tao, Weiwei Zhang, Min He, Ying Huang, Lili Chen and Shen Qu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS Genetics and Gene.

In The Last Decade

Jie Wen

37 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Wen China 17 245 236 233 154 147 37 843
Lianxi Li China 18 309 1.3× 296 1.3× 276 1.2× 185 1.2× 192 1.3× 68 1.1k
Min He China 19 243 1.0× 231 1.0× 407 1.7× 122 0.8× 127 0.9× 63 1.0k
John Cardinal Australia 16 256 1.0× 203 0.9× 131 0.6× 132 0.9× 124 0.8× 35 828
Satoshi Minami Japan 16 260 1.1× 373 1.6× 100 0.4× 141 0.9× 207 1.4× 35 1.1k
Guangda Xiang China 19 432 1.8× 221 0.9× 132 0.6× 369 2.4× 64 0.4× 46 1.1k
Hideaki Nakatsuji Japan 19 400 1.6× 376 1.6× 153 0.7× 221 1.4× 236 1.6× 37 1.1k
Karina Thieme Brazil 16 313 1.3× 92 0.4× 110 0.5× 86 0.6× 179 1.2× 33 700
Farook Thameem United States 16 214 0.9× 161 0.7× 104 0.4× 142 0.9× 174 1.2× 30 711
Yuko Jinnouchi Japan 14 287 1.2× 127 0.5× 233 1.0× 116 0.8× 57 0.4× 17 989
Yacheng Pan China 7 403 1.6× 74 0.3× 360 1.5× 230 1.5× 108 0.7× 10 1.5k

Countries citing papers authored by Jie Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jie Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Wen. A scholar is included among the top collaborators of Jie Wen 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 Jie Wen. Jie Wen 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.
Wang, Yanke, et al.. (2024). Characterization of the pattern of development of key compounds contributing to aroma quality of chicken meat and their metabolic markers. SHILAP Revista de lepidopterología. 3(4). 420–431. 2 indexed citations
2.
Wang, Liwen, Jie Wen, Rui Zhou, et al.. (2024). RNA-binding protein YBX3 promotes PPARγ-SLC3A2 mediated BCAA metabolism fueling brown adipogenesis and thermogenesis. Molecular Metabolism. 90. 102053–102053. 3 indexed citations
3.
Zhang, Qi, Qiao Wang, Jin Zhang, et al.. (2024). Single-cell RNA sequencing of the spleen reveals differences in Salmonella typhimurium infection mechanisms between different chicken breeds. Poultry Science. 104(2). 104669–104669. 1 indexed citations
4.
Sun, Jiahong, Xinting Yang, Guiping Zhao, et al.. (2024). Protein phosphatase 1 catalytic subunit gamma is a causative gene for meat lightness and redness. PLoS Genetics. 20(11). e1011467–e1011467. 1 indexed citations
5.
Yang, Liting, Quan Cheng, Renjun Peng, et al.. (2023). LINC00978 regulates metabolic rewiring to promote the malignancy of glioblastoma through AKR1B1. Cancer Letters. 567. 216277–216277. 7 indexed citations
6.
Shi, Jie, Bin Lü, Weiwei Zhang, et al.. (2021). Association of Circulating Cathepsin S and Cardiovascular Disease Among Patients With Type 2 Diabetes: A Cross-Sectional Community-Based Study. Frontiers in Endocrinology. 12. 615913–615913. 9 indexed citations
7.
Wu, Xia & Jie Wen. (2020). ZEB1-AS1/miR-133a-3p/LPAR3/EGFR axis promotes the progression of thyroid cancer by regulating PI3K/AKT/mTOR pathway. Cancer Cell International. 20(1). 94–94. 22 indexed citations
8.
Ren, Zhigang, et al.. (2019). Inhibition of human glioblastoma cell invasion involves PION@E6 mediated autophagy process. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Wu, Huihui, Yan-Liang Li, Naijia Liu, et al.. (2019). TCF7L2 regulates pancreatic β-cell function through PI3K/AKT signal pathway. Diabetology & Metabolic Syndrome. 11(1). 55–55. 20 indexed citations
10.
Qiao, Xiaona, Hangping Zheng, Shuo Zhang, et al.. (2017). C-peptide is independent associated with diabetic peripheral neuropathy: a community-based study. Diabetology & Metabolic Syndrome. 9(1). 12–12. 23 indexed citations
11.
Xiong, Qian, Bin Lü, Hongying Ye, et al.. (2017). Corneal confocal microscopy as a non-invasive test to assess diabetic peripheral neuropathy. Diabetes Research and Clinical Practice. 136. 85–92. 16 indexed citations
12.
Liu, Naijia, Huihui Wu, Yan-Liang Li, et al.. (2015). An analysis of the association between a polymorphism of KCNJ11 and diabetic retinopathy in a Chinese Han population. European journal of medical research. 20(1). 3–3. 15 indexed citations
13.
Wu, Huihui, Naijia Liu, Zhen Yang, et al.. (2014). IGF2BP2 and obesity interaction analysis for type 2 diabetes mellitus in Chinese Han population. European journal of medical research. 19(1). 40–40. 15 indexed citations
14.
Wang, Suijun, Zhen Yang, Min He, et al.. (2014). Serum lipocalin-2, cathepsin S and chemerin levels and nonalcoholic fatty liver disease. Molecular Biology Reports. 41(3). 1317–1323. 26 indexed citations
15.
Zhang, Weiwei, Zhen Yang, Xiaoyong Li, et al.. (2014). The functional Q84R polymorphism of TRIB3 gene is associated with diabetic nephropathy in Chinese type 2 diabetic patients. Gene. 555(2). 357–361. 12 indexed citations
16.
Huang, Ying, Zhen Yang, Qin Li, et al.. (2012). Lipocalin-2, glucose metabolism and chronic low-grade systemic inflammation in Chinese people. Cardiovascular Diabetology. 11(1). 11–11. 69 indexed citations
17.
Qin, Li, Zhen Yang, Bin Lü, et al.. (2011). Serum uric acid level and its association with metabolic syndrome and carotid atherosclerosis in patients with type 2 diabetes. Cardiovascular Diabetology. 10(1). 72–72. 107 indexed citations
18.
Yang, Zhen, Jie Wen, Li Qin, et al.. (2011). PPARG gene Pro12Ala variant contributes to the development of non-alcoholic fatty liver in middle-aged and older Chinese population. Molecular and Cellular Endocrinology. 348(1). 255–259. 32 indexed citations
19.
Chen, Lili, Zhen Yang, Bin Lü, et al.. (2011). Serum CXC ligand 5 is a new marker of subclinical atherosclerosis in type 2 diabetes. Clinical Endocrinology. 75(6). 766–770. 15 indexed citations
20.
Yang, Zhen, Jie Wen, Xiaoming Tao, et al.. (2010). Genetic variation in the GCKR gene is associated with non-alcoholic fatty liver disease in Chinese people. Molecular Biology Reports. 38(2). 1145–1150. 54 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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