I‐Hsien Wu

1.7k total citations
23 papers, 731 citations indexed

About

I‐Hsien Wu is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, I‐Hsien Wu has authored 23 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Ophthalmology and 5 papers in Genetics. Recurrent topics in I‐Hsien Wu's work include Retinal Diseases and Treatments (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Retinoids in leukemia and cellular processes (4 papers). I‐Hsien Wu is often cited by papers focused on Retinal Diseases and Treatments (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Retinoids in leukemia and cellular processes (4 papers). I‐Hsien Wu collaborates with scholars based in United States, China and Norway. I‐Hsien Wu's co-authors include George L. King, Christian Rask‐Madsen, Kyoungmin Park, Paul L. Huang, Motonobu Matsumoto, Allen C. Clermont, Amy J. Wagers, Saurav Singh, Rosario Scalia and Todd F. DeLuca and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Circulation Research.

In The Last Decade

I‐Hsien Wu

21 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I‐Hsien Wu United States 13 300 172 154 144 121 23 731
Irmgard Schuiki Canada 10 301 1.0× 167 1.0× 84 0.5× 81 0.6× 216 1.8× 12 660
Yuzuru Ohshiro Japan 13 238 0.8× 184 1.1× 211 1.4× 75 0.5× 100 0.8× 20 784
Miroslava Šimáková Czechia 15 320 1.1× 130 0.8× 230 1.5× 104 0.7× 83 0.7× 50 721
Kathryn M. Spitler United States 15 285 0.9× 98 0.6× 126 0.8× 152 1.1× 69 0.6× 18 749
Emi Arikawa Canada 13 282 0.9× 207 1.2× 215 1.4× 130 0.9× 41 0.3× 16 692
Se Hee Min South Korea 16 220 0.7× 323 1.9× 100 0.6× 48 0.3× 158 1.3× 44 711
Manisha Nautiyal United States 14 249 0.8× 146 0.8× 128 0.8× 151 1.0× 52 0.4× 21 591
Kwan Yi Chu Australia 15 277 0.9× 227 1.3× 131 0.9× 92 0.6× 396 3.3× 18 797
Yanjuan Zhu China 15 225 0.8× 122 0.7× 157 1.0× 54 0.4× 76 0.6× 23 655

Countries citing papers authored by I‐Hsien Wu

Since Specialization
Citations

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

Fields of papers citing papers by I‐Hsien Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I‐Hsien Wu

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Hsien Wu. A scholar is included among the top collaborators of I‐Hsien 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 I‐Hsien Wu. I‐Hsien 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.
Qin, Li, Satoru Onizuka, Kyoungmin Park, et al.. (2025). Differential Effects of Retinol-Binding Protein 3 and Anti-VEGF Antibodies on Retinal Dysfunctions in Diabetic Retinopathy. Diabetes. 74(5). 787–797. 2 indexed citations
2.
Hanlon, J. E., Mustafa Ünal, Daniel J. Brooks, et al.. (2025). Effect of type 1 and type 2 diabetes on human femoral trabecular bone composition, microarchitecture, and mechanical behavior. Bone. 200. 117588–117588.
3.
Yu, Marc Gregory, Hetal Shah, I‐Hsien Wu, et al.. (2025). Risk and protective factors for coronary atherosclerosis and myocardial dysfunction in individuals with long-duration type 1 diabetes. Diabetologia. 68(11). 2581–2594.
4.
Fu, Jialin, Kyoungmin Park, Hetal Shah, et al.. (2024). Insulin receptors in vascular smooth muscle cells regulate plaque stability of atherosclerosis. Cardiovascular Research. 120(16). 2017–2030. 8 indexed citations
5.
Fickweiler, Ward, Kyoungmin Park, I‐Hsien Wu, et al.. (2024). Reduced Aqueous Retinol-Binding Protein 3 Concentration Is Associated With Diabetic Macular Edema and Progression of Diabetic Retinopathy. Diabetes Care. 48(1). 136–142. 3 indexed citations
6.
Ünal, Mustafa, Daniel J. Brooks, I‐Hsien Wu, et al.. (2024). Long-duration type 1 diabetes is associated with deficient cortical bone mechanical behavior and altered matrix composition in human femoral bone. Journal of Bone and Mineral Research. 40(1). 87–99. 4 indexed citations
8.
Fu, Jialin, Takanori Shinjo, Qian Li, et al.. (2022). Regeneration of glomerular metabolism and function by podocyte pyruvate kinase M2 in diabetic nephropathy. JCI Insight. 7(5). 38 indexed citations
9.
Park, Kyoungmin, Qian Li, Matthew D. Lynes, et al.. (2022). Endothelial Cells Induced Progenitors Into Brown Fat to Reduce Atherosclerosis. Circulation Research. 131(2). 168–183. 34 indexed citations
11.
Fickweiler, Ward, Samantha M. Paniagua, Marc Gregory Yu, et al.. (2020). Association of Cognitive Function and Retinal Neural and Vascular Structure in Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 106(4). e1139–e1149. 14 indexed citations
12.
Vaisar, Tomáš, Jenny E. Kanter, Jake Wimberger, et al.. (2019). High Concentration of Medium-Sized HDL Particles and Enrichment in HDL Paraoxonase 1 Associate With Protection From Vascular Complications in People With Long-standing Type 1 Diabetes. Diabetes Care. 43(1). 178–186. 46 indexed citations
13.
Shinjo, Takanori, Atsushi Ishikado, Hatice Hastürk, et al.. (2019). Characterization of periodontitis in people with type 1 diabetes of 50 years or longer duration. Journal of Periodontology. 90(6). 565–575. 20 indexed citations
14.
Yokomizo, Hisashi, Kyoungmin Park, Allen C. Clermont, et al.. (2019). 597-P: Retinol Binding Protein 3 in Diabetic Retinopathy: Mechanisms of Protective Activity. Diabetes. 68(Supplement_1). 1 indexed citations
15.
Noh, Hyunjin, Mi Ra Yu, Hyun Joo Kim, et al.. (2017). Beta 2-adrenergic receptor agonists are novel regulators of macrophage activation in diabetic renal and cardiovascular complications. Kidney International. 92(1). 101–113. 67 indexed citations
16.
Park, Kyoungmin, Akira Mima, Qian Li, et al.. (2016). Insulin decreases atherosclerosis by inducing endothelin receptor B expression. JCI Insight. 1(6). 37 indexed citations
17.
Hou, Lihui, et al.. (2012). Cardiovascular effects of a PEGylated apelin. Peptides. 38(1). 181–188. 45 indexed citations
18.
Maeno, Yasuhiro, Qian Li, Kyoungmin Park, et al.. (2011). Inhibition of Insulin Signaling in Endothelial Cells by Protein Kinase C-induced Phosphorylation of p85 Subunit of Phosphatidylinositol 3-Kinase (PI3K). Journal of Biological Chemistry. 287(7). 4518–4530. 44 indexed citations
19.
Rask‐Madsen, Christian, Qian Li, I‐Hsien Wu, et al.. (2010). Loss of Insulin Signaling in Vascular Endothelial Cells Accelerates Atherosclerosis in Apolipoprotein E Null Mice. Cell Metabolism. 11(5). 379–389. 231 indexed citations
20.
DeLuca, Todd F., et al.. (2006). Roundup: a multi-genome repository of orthologs and evolutionary distances. Bioinformatics. 22(16). 2044–2046. 81 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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