Jinling Wu

1.0k total citations
22 papers, 833 citations indexed

About

Jinling Wu is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jinling Wu has authored 22 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jinling Wu's work include Wnt/β-catenin signaling in development and cancer (4 papers), Developmental Biology and Gene Regulation (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Jinling Wu is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (4 papers), Developmental Biology and Gene Regulation (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Jinling Wu collaborates with scholars based in China and United States. Jinling Wu's co-authors include Peter S. Klein, Lilia Topol, Yingzi Yang, Jing Yang, Jean‐Pierre Saint‐Jeannet, Change Tan, Lan Jiang, Zhong‐Zhen Zhou, Ningbo Cai and Jiangping Xu and has published in prestigious journals such as Journal of Biological Chemistry, Development and Trends in Neurosciences.

In The Last Decade

Jinling Wu

19 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinling Wu China 11 606 204 104 93 69 22 833
Mariko Yagi Japan 21 1.1k 1.8× 226 1.1× 85 0.8× 60 0.6× 49 0.7× 66 1.5k
Yoach Rais Israel 12 734 1.2× 147 0.7× 50 0.5× 83 0.9× 92 1.3× 16 954
Patricio Barros‐Núñez Mexico 15 359 0.6× 302 1.5× 99 1.0× 38 0.4× 54 0.8× 71 688
Laura Hernandez‐Lagunas United States 20 487 0.8× 116 0.6× 96 0.9× 39 0.4× 121 1.8× 31 736
Gundula Leschik Germany 9 380 0.6× 234 1.1× 94 0.9× 123 1.3× 49 0.7× 11 608
Elżbieta Ciara Poland 17 647 1.1× 278 1.4× 47 0.5× 95 1.0× 50 0.7× 88 1.1k
Dorota Piekutowska‐Abramczuk Poland 17 773 1.3× 181 0.9× 38 0.4× 33 0.4× 86 1.2× 59 1.0k
Brian R. Vuillemenot United States 12 368 0.6× 67 0.3× 111 1.1× 63 0.7× 66 1.0× 13 674
Monica Cardone Italy 10 330 0.5× 85 0.4× 174 1.7× 108 1.2× 40 0.6× 13 817
Giulietta Roël Netherlands 11 459 0.8× 66 0.3× 101 1.0× 63 0.7× 32 0.5× 13 694

Countries citing papers authored by Jinling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinling Wu. A scholar is included among the top collaborators of Jinling Wu 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 Jinling Wu. Jinling Wu 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.
Wu, Jinling, Tianyun Zhao, Qingzhu Wei, et al.. (2025). Quantification of infrapatellar fat pad fibrosis using magnetic resonance imaging-derived proton density fat fraction: a pathology-controlled study. Quantitative Imaging in Medicine and Surgery. 15(4). 2694–2706.
2.
Wu, Jinling, et al.. (2025). A Rise in Devices: An Overview of the Current Ventricular Support Devices and Future Prospects. The Heart Surgery Forum. 28(4). E343–E351. 1 indexed citations
3.
Yin, Lili, et al.. (2024). Case–control study on risk factors for in-hospital mortality in patients with severe COVID-19. Frontiers in Public Health. 12. 1424720–1424720.
4.
5.
Glezer, Eli N., et al.. (2024). A profile of the impella 5.5 for the clinical management of cardiogenic shock and a review of the current indications for use and future directions. Expert Review of Medical Devices. 21(12). 1087–1099. 1 indexed citations
6.
Ma, Zhuo, Shusen Sun, Cai‐Xia Zhang, et al.. (2020). Characteristics of drug-related problems and pharmacists’ interventions in a geriatric unit in China. International Journal of Clinical Pharmacy. 43(1). 270–274. 15 indexed citations
7.
Xu, Bingtian, Yunyun Qin, Ningbo Cai, et al.. (2019). Inhibition of PDE4 protects neurons against oxygen-glucose deprivation-induced endoplasmic reticulum stress through activation of the Nrf-2/HO-1 pathway. Redox Biology. 28. 101342–101342. 102 indexed citations
8.
Oliver, Madeleine, et al.. (2018). No Increased Risk of Posttransplant Lymphoproliferative Disorder Following Alemtuzumab Induction in Kidney Transplant. PubMed. 17(3). 320–325. 1 indexed citations
9.
Wei, Haidong, et al.. (2017). The levels of serum pro-calcitonin and high-sensitivity C-reactive protein in the early diagnosis of chronic obstructive pulmonary disease during acute exacerbation. Experimental and Therapeutic Medicine. 14(1). 193–198. 10 indexed citations
10.
Chang, Jing, et al.. (2015). Vitamin D Level is Associated with Increased Left Ventricular Mass and Arterial Stiffness in Older Patients with Impaired Renal Function. Medical Science Monitor. 21. 3993–3999. 7 indexed citations
11.
Ma, Caixia, Chunyan Li, Jinling Wu, et al.. (2014). Screening and identification of a specific peptide binding to hepatocellular carcinoma cells from a phage display peptide library. Journal of Peptide Science. 20(3). 196–202. 10 indexed citations
12.
Wu, Jinling, Hua Wang, Xin Wang, et al.. (2013). Perindopril treatment promote left ventricle remodeling in patients with heart failure screened positive for autoantibodies against angiotensin II type 1 receptor. BMC Cardiovascular Disorders. 13(1). 94–94. 10 indexed citations
13.
14.
Yan, Chuanzhu, et al.. (2007). [Dysferlin expression in limb-girdle muscular dystrophy and Miyoshi myopathy: analysis of 45 cases].. PubMed. 87(21). 1486–90. 3 indexed citations
15.
Ding, Ke, et al.. (2007). Diffuse panbronchiolitis in China: analysis of 45 cases. Chinese Medical Journal. 120(22). 2046–2048. 14 indexed citations
16.
Wu, Jinling, Jing Yang, & Peter S. Klein. (2005). Neural crest induction by the canonical Wnt pathway can be dissociated from anterior–posterior neural patterning in Xenopus. Developmental Biology. 279(1). 220–232. 61 indexed citations
17.
Wu, Jinling, et al.. (2004). Cdx1 Inhibits Human Colon Cancer Cell Proliferation by Reducing β-Catenin/T-cell Factor Transcriptional Activity. Journal of Biological Chemistry. 279(35). 36865–36875. 55 indexed citations
18.
Yang, Jing, Jinling Wu, Change Tan, & Peter S. Klein. (2003). PP2A:B56ϵ is required for Wnt/β-catenin signaling during embryonic development. Development. 130(23). 5569–5578. 74 indexed citations
19.
Yang, Yingzi, et al.. (2003). Wnt5aandWnt5bexhibit distinct activities in coordinating chondrocyte proliferation and differentiation. Development. 130(5). 1003–1015. 329 indexed citations
20.
Wu, Jinling, Jean‐Pierre Saint‐Jeannet, & Peter S. Klein. (2002). Wnt–frizzled signaling in neural crest formation. Trends in Neurosciences. 26(1). 40–45. 103 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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