Van-Yu Wu

957 total citations
33 papers, 833 citations indexed

About

Van-Yu Wu is a scholar working on Clinical Biochemistry, Nephrology and Cell Biology. According to data from OpenAlex, Van-Yu Wu has authored 33 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Biochemistry, 12 papers in Nephrology and 10 papers in Cell Biology. Recurrent topics in Van-Yu Wu's work include Advanced Glycation End Products research (17 papers), Chronic Kidney Disease and Diabetes (12 papers) and Cell Adhesion Molecules Research (6 papers). Van-Yu Wu is often cited by papers focused on Advanced Glycation End Products research (17 papers), Chronic Kidney Disease and Diabetes (12 papers) and Cell Adhesion Molecules Research (6 papers). Van-Yu Wu collaborates with scholars based in United States and Finland. Van-Yu Wu's co-authors include Margo P. Cohen, Maria Surma, Elizabeth Hud, Enrique Urdanivia, Margo P. Cohen, Fuad N. Ziyadeh, Bryan Wilson, John Tomaszewski, Ying Jin and Kumar Sharma and has published in prestigious journals such as Journal of Clinical Investigation, Diabetes and Analytical Biochemistry.

In The Last Decade

Van-Yu Wu

33 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Van-Yu Wu United States 17 430 279 225 215 140 33 833
Hironori Tamei Japan 9 315 0.7× 218 0.8× 52 0.2× 159 0.7× 55 0.4× 12 654
Carole Fages Finland 7 828 1.9× 149 0.5× 32 0.1× 503 2.3× 132 0.9× 9 1.2k
Lionel J. Rosenzweig United States 10 95 0.2× 54 0.2× 260 1.2× 302 1.4× 253 1.8× 15 693
Georgia Dalagiorgou Greece 16 129 0.3× 60 0.2× 17 0.1× 373 1.7× 103 0.7× 24 825
Yefim Anbinder Israel 8 344 0.8× 81 0.3× 21 0.1× 621 2.9× 252 1.8× 9 1.1k
Leifur Thorsteinsson Iceland 17 79 0.2× 19 0.1× 130 0.6× 436 2.0× 52 0.4× 36 1.0k
Bonnie Seidel-Rogol United States 17 140 0.3× 26 0.1× 18 0.1× 841 3.9× 74 0.5× 22 1.4k
Greg Dietsch United States 8 39 0.1× 62 0.2× 16 0.1× 200 0.9× 49 0.3× 16 709
Eun Ji Lee South Korea 15 86 0.2× 27 0.1× 34 0.2× 552 2.6× 93 0.7× 30 870
Haymo Pircher Austria 16 33 0.1× 50 0.2× 31 0.1× 379 1.8× 46 0.3× 23 700

Countries citing papers authored by Van-Yu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Van-Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Van-Yu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Van-Yu Wu. A scholar is included among the top collaborators of Van-Yu 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 Van-Yu Wu. Van-Yu 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.
2.
Wu, Van-Yu, Clyde W. Shearman, & Margo P. Cohen. (2001). Identification of Calnexin as a Binding Protein for Amadori-Modified Glycated Albumin. Biochemical and Biophysical Research Communications. 284(3). 602–606. 18 indexed citations
3.
Cohen, Margo P., Van-Yu Wu, & Jonathan Cohen. (1997). Glycated Albumin Stimulates Fibronectin and Collagen IV Production by Glomerular Endothelial Cells under Normoglycemic Conditions. Biochemical and Biophysical Research Communications. 239(1). 91–94. 39 indexed citations
4.
Cohen, Margo P., Elizabeth Hud, Van-Yu Wu, & Fuad N. Ziyadeh. (1995). Glycated albumin modified by amadori adducts modulates aortic endothelial cell biology. Molecular and Cellular Biochemistry. 143(1). 73–79. 19 indexed citations
5.
Cohen, Margo P., Kumar Sharma, Ying Jin, et al.. (1995). Prevention of diabetic nephropathy in db/db mice with glycated albumin antagonists. A novel treatment strategy.. Journal of Clinical Investigation. 95(5). 2338–2345. 121 indexed citations
6.
Cohen, Margo P., Elizabeth Hud, Van-Yu Wu, & Fuad N. Ziyadeh. (1995). Albumin modified by Amadori glucose adducts activates mesangial cell type IV collagen gene transcription. Molecular and Cellular Biochemistry. 151(1). 61–67. 33 indexed citations
7.
Wu, Van-Yu & Margo P. Cohen. (1995). Evidence for a Ligand Receptor System Mediating the Biologic Effects of Glycated Albumin in Glomerular Mesangial Cells. Biochemical and Biophysical Research Communications. 207(2). 521–528. 20 indexed citations
8.
Cohen, Margo P. & Van-Yu Wu. (1994). [5] Purification of glycated hemoglobin. Methods in enzymology on CD-ROM/Methods in enzymology. 231. 65–75. 35 indexed citations
9.
Cohen, Margo P., Elizabeth Hud, & Van-Yu Wu. (1994). Amelioration of diabetic nephropathy by treatment with monoclonal antibodies against glycated albumin. Kidney International. 45(6). 1673–1679. 53 indexed citations
10.
Wu, Van-Yu & Margo P. Cohen. (1993). Identification of Aortic Endothelial Cell Binding Proteins for Amadori Adducts in Glycated Albumin. Biochemical and Biophysical Research Communications. 193(3). 1131–1136. 19 indexed citations
11.
Wu, Van-Yu, et al.. (1991). Purification of glycated hemoglobin free of hemoglobin A1c and its use to produce monoclonal antibodies specific for deoxyfructosyllsine residues in glycohemoglobin. Biochemical and Biophysical Research Communications. 176(1). 207–212. 7 indexed citations
12.
Cohen, Margo P., et al.. (1991). Evaluation of the effect of aldose reductase inhibition on increased basement membrane collagen fluorescence in diabetic rats. General Pharmacology The Vascular System. 22(4). 603–606. 8 indexed citations
13.
14.
Wu, Van-Yu, et al.. (1988). Analysis of glycosaminoglycans in bovine retinal microvessel basement membrane. Biochimica et Biophysica Acta (BBA) - Biomembranes. 938(1). 107–113. 1 indexed citations
15.
Wu, Van-Yu, Bryan Wilson, & Margo P. Cohen. (1987). Disturbances in Glomerular Basement Membrane Glycosaminoglycans in Experimental Diabetes. Diabetes. 36(6). 679–683. 55 indexed citations
16.
Wu, Van-Yu, et al.. (1985). Quantitative analysis of glomerular basement membrane glycosaminoglycans and evidence for their binding to adjacent cell membrane lipids. Analytical Biochemistry. 145(1). 57–62. 6 indexed citations
17.
Cohen, Margo P., Maria Surma, & Van-Yu Wu. (1982). In vivo biosynthesis and turnover of glomerular basement membrane in diabetic rats. American Journal of Physiology-Renal Physiology. 242(4). F385–F389. 42 indexed citations
18.
Cohen, Margo P., Enrique Urdanivia, Maria Surma, & Van-Yu Wu. (1980). Increased glycosylation of glomerular basement membrane collagen in diabetes. Biochemical and Biophysical Research Communications. 95(2). 765–769. 122 indexed citations
19.
Seegers, Walter H., et al.. (1979). Function of Previously Unrecognized Plasma Protein M in Thrombin Generation. Thrombosis and Haemostasis. 4 indexed citations
20.
Wu, Van-Yu & Lowell E. McCoy. (1977). Platelet factor 3: Quantitation and characterization. Thrombosis Research. 11(5). 581–593. 3 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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