WU Yu-ling

1.4k total citations
19 papers, 1.0k citations indexed

About

WU Yu-ling is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, WU Yu-ling has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in WU Yu-ling's work include Neuropeptides and Animal Physiology (2 papers), Stress Responses and Cortisol (1 paper) and interferon and immune responses (1 paper). WU Yu-ling is often cited by papers focused on Neuropeptides and Animal Physiology (2 papers), Stress Responses and Cortisol (1 paper) and interferon and immune responses (1 paper). WU Yu-ling collaborates with scholars based in China, United States and Japan. WU Yu-ling's co-authors include Yanyun Gao, A. D. Baron, Kartik Shankar, J S Zhu, X N Zou, Steven D. Mark, Sanford M. Dawsey, Chung S. Yang, Peter Greenwald and William J. Blot and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

WU Yu-ling

18 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
WU Yu-ling China 11 256 210 200 149 143 19 1.0k
Feng Liao China 20 527 2.1× 287 1.4× 146 0.7× 183 1.2× 108 0.8× 56 1.6k
Miyuki Matsuda Japan 22 372 1.5× 273 1.3× 136 0.7× 79 0.5× 405 2.8× 64 1.3k
Wupeng Liao Singapore 20 461 1.8× 68 0.3× 138 0.7× 99 0.7× 73 0.5× 39 1.2k
Yoshitaka Fukuzawa Japan 21 277 1.1× 199 0.9× 182 0.9× 68 0.5× 59 0.4× 56 1.4k
Yuichi Fujii Japan 23 492 1.9× 475 2.3× 144 0.7× 54 0.4× 262 1.8× 93 2.0k
Kenji Fujii Japan 20 706 2.8× 168 0.8× 130 0.7× 69 0.5× 47 0.3× 56 1.3k
Bikash Manandhar Australia 17 417 1.6× 122 0.6× 78 0.4× 63 0.4× 40 0.3× 35 1.0k
Fengqiong Liu China 20 470 1.8× 157 0.7× 97 0.5× 161 1.1× 46 0.3× 79 1.3k
Wenbin Tan United States 21 326 1.3× 260 1.2× 106 0.5× 29 0.2× 63 0.4× 48 1.3k
Adriana Augusto de Rezende Brazil 19 316 1.2× 104 0.5× 77 0.4× 34 0.2× 66 0.5× 82 1.1k

Countries citing papers authored by WU Yu-ling

Since Specialization
Citations

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

Fields of papers citing papers by WU Yu-ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of WU Yu-ling

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

All Works

19 of 19 papers shown
1.
Li, Yali, et al.. (2025). LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 39(8). 8114–8122. 1 indexed citations
2.
3.
Gao, Yanyun & WU Yu-ling. (2022). Recent advances of chitosan-based nanoparticles for biomedical and biotechnological applications. International Journal of Biological Macromolecules. 203. 379–388. 117 indexed citations
4.
Yu-ling, WU, et al.. (2021). Diagnostic and Prognostic Biomarkers for Myocardial Infarction. Frontiers in Cardiovascular Medicine. 7. 617277–617277. 55 indexed citations
5.
Yu-ling, WU, Caixia Lü, Meng Zhang, et al.. (2021). Serum lactate dehydrogenase activities as systems biomarkers for 48 types of human diseases. Scientific Reports. 11(1). 12997–12997. 56 indexed citations
6.
Chen, Wen‐Pin, Zhenshun Song, Xianjuan Shen, et al.. (2020). Long non-coding RNA ROR accelerates the progression ofbreast cancer via promoting stemness in MCF-10A cells. European Journal of Gynaecological Oncology. 41(1). 106–106. 4 indexed citations
7.
Zhong, Wen‐Zhao, Xiaoyu Yang, Qiang Nie, et al.. (2010). Induction erlotinib therapy in stage IIIA-N2 non-small cell lung cancer.. Journal of Clinical Oncology. 28(15_suppl). TPS284–TPS284. 1 indexed citations
8.
Yu-ling, WU. (2008). Clinical Study on the Changes of Thyroid Function in Patients with Poststroke Depression. 1 indexed citations
9.
Kita, K, Shigeru Sugaya, Linzhi Zhai, et al.. (2003). Involvement of LEU13 in Interferon-Induced Refractoriness of Human RSa Cells to Cell Killing by X Rays. Radiation Research. 160(3). 302–308. 30 indexed citations
10.
Limburg, Paul J., You‐Lin Qiao, Steven D. Mark, et al.. (2001). Helicobacter pylori Seropositivity and Subsite-Specific Gastric Cancer Risks in Linxian, China. JNCI Journal of the National Cancer Institute. 93(3). 226–233. 93 indexed citations
11.
Yu-ling, WU, et al.. (2001). Inhibition by nociceptin on excitatory non-adrenergic non-cholinergic response in guinea pig airways.. PubMed. 22(6). 561–5. 2 indexed citations
12.
Shankar, Kartik, et al.. (2000). Mice with gene disruption of both endothelial and neuronal nitric oxide synthase exhibit insulin resistance.. Diabetes. 49(5). 684–687. 243 indexed citations
13.
Yu-ling, WU, et al.. (2000). [Evaluation on usage of serum troponin-I, CK-MBmass and myoglobin measurements in diagnosing acute myocardial infarction].. PubMed. 31(2). 239–41, 245. 1 indexed citations
14.
Yu-ling, WU, Takaki Hiwasa, Eriko Isogai, et al.. (1998). Activation of MAP kinases by 5-fluorouracil in a 5-fluorouracil-resistant variant human cell line derived from a KT breast cancer cell line.. International Journal of Oncology. 13(6). 1241–5. 12 indexed citations
15.
Wilson, Nathan, WU Yu-ling, B. M. Peterson, & John F. Bastian. (1994). Immunoglobulins and IgG subclasses in children following severe head injury. Intensive Care Medicine. 20(7). 508–510. 1 indexed citations
16.
Cahill, Paul A., WU Yu-ling, & James V. Sitzmann. (1994). Altered adenylyl cyclase activities and G-protein abnormalities in portal hypertensive rabbits.. Journal of Clinical Investigation. 93(6). 2691–2700. 33 indexed citations
17.
Li, Jingyuan, Philip R. Taylor, Bin Li, et al.. (1993). Nutrition Intervention Trials in Linxian, China: Multiple Vitamin/Mineral Supplementation, Cancer Incidence, and Disease-Specific Mortality Among Adults With Esophageal Dysplasia. JNCI Journal of the National Cancer Institute. 85(18). 1492–1498. 313 indexed citations
18.
Ochs, Hans D., William R. Morton, M. E. Thouless, et al.. (1991). Maternal–fetal transmission of SIV in macaques: Disseminated adenovirus infection in an offspring with congenital SIV infection. Journal of Medical Primatology. 20(4). 193–200. 31 indexed citations
19.
Yu-ling, WU, et al.. (1969). Total replacement artificial heart and driving system with inherent regulation of cardiac output.. PubMed. 15. 245–66. 30 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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