WU Yu-ling

18 papers receiving 996 citations

Peers

WU Yu-ling
Comparison fields: 5 of 112
  • Biochemistry 149
  • Nutrition and Dietetics 138
  • Physiology 200
  • Cardiology and Cardiovascular Medicine 143
  • Drug Discovery 1
Replace Yoshitaka Fukuzawa with:
Yoshitaka Fukuzawa Japan
Wupeng Liao Singapore
Dana E. Wilson United States
Xiaoyan Wu China
Feng Liao China
Kengo Tomita Japan
Yuichi Fujii Japan
Archana Bhatnagar India
Ana Sandoval-Rodríguez Mexico
Miyuki Matsuda Japan
WU Yu-ling relative to Yoshitaka Fukuzawa Japan Yoshitaka Fukuzawa's profile →
Citations per field
00.5×1.5×2.4×
Yoshitaka Fukuzawa · 1×
Citations per year

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-authors

The 25 scholars most cited alongside WU Yu-ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with WU Yu-ling Line = papers co-authored together WU Yu-ling links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1993313
2 2000243
3 2022117
4 200193
5 202156
6 202155
7 199433
8 199131
9 200330
10
Total replacement artificial heart and driving system with inherent regulation of cardiac output.
196930
11 199812
12 20204
13 20233
14
Inhibition by nociceptin on excitatory non-adrenergic non-cholinergic response in guinea pig airways.
20012
15
Clinical Study on the Changes of Thyroid Function in Patients with Poststroke Depression
20081
16 19941
17
[Evaluation on usage of serum troponin-I, CK-MBmass and myoglobin measurements in diagnosing acute myocardial infarction].
20001
18 20101
19 20251

About WU Yu-ling

WU Yu-ling is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (2 papers), Diet, Metabolism, and Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Trauma and Emergency Care Studies (1 paper), Nanocomposite Films for Food Packaging (1 paper), Signaling Pathways in Disease (1 paper), Galectins and Cancer Biology (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Biochemistry (149 citations), Nutrition and Dietetics (138 citations), Physiology (200 citations), Cardiology and Cardiovascular Medicine (143 citations) and Drug Discovery (1 citation). WU Yu-ling has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanyun Gao, Kartik Shankar, A. D. Baron, J S Zhu, Sanford M. Dawsey, Steven D. Mark, X N Zou, Chung S. Yang, Philip R. Taylor and Peter Greenwald. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Scientific Reports, International Journal of Biological Macromolecules, Diabetes and Journal of Medical Primatology.

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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