Guowei Su

881 total citations
34 papers, 586 citations indexed

About

Guowei Su is a scholar working on Cell Biology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Guowei Su has authored 34 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cell Biology, 23 papers in Molecular Biology and 14 papers in Organic Chemistry. Recurrent topics in Guowei Su's work include Proteoglycans and glycosaminoglycans research (26 papers), Glycosylation and Glycoproteins Research (18 papers) and Carbohydrate Chemistry and Synthesis (13 papers). Guowei Su is often cited by papers focused on Proteoglycans and glycosaminoglycans research (26 papers), Glycosylation and Glycoproteins Research (18 papers) and Carbohydrate Chemistry and Synthesis (13 papers). Guowei Su collaborates with scholars based in United States, China and Egypt. Guowei Su's co-authors include Jian Liu, Jine Li, Robert J. Linhardt, Fuming Zhang, Yongmei Xu, Zhangjie Wang, Chunyu Wang, Vijayakanth Pagadala, Linda C. Hsieh‐Wilson and Xuefei Huang and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Guowei Su

34 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guowei Su United States 14 321 300 183 54 46 34 586
Alejandro Gómez Toledo Sweden 15 391 1.2× 249 0.8× 113 0.6× 25 0.5× 53 1.2× 27 556
Vinayaga S. Gnanapragassam Germany 14 331 1.0× 38 0.1× 75 0.4× 24 0.4× 160 3.5× 20 481
Krishnakumar N. Menon India 15 343 1.1× 57 0.2× 41 0.2× 41 0.8× 150 3.3× 40 728
Bettina Schmidt Germany 13 466 1.5× 36 0.1× 58 0.3× 20 0.4× 61 1.3× 18 744
Ru‐Ting Huang United States 10 341 1.1× 91 0.3× 37 0.2× 65 1.2× 123 2.7× 16 595
Fahu He Japan 19 634 2.0× 66 0.2× 28 0.2× 28 0.5× 67 1.5× 31 795
Kemal Solakyildirim United States 17 372 1.2× 340 1.1× 153 0.8× 16 0.3× 31 0.7× 27 586
Anna L. Kiss Hungary 16 489 1.5× 324 1.1× 19 0.1× 103 1.9× 152 3.3× 49 948
Amit K. Dutta Germany 10 202 0.6× 92 0.3× 34 0.2× 40 0.7× 113 2.5× 13 562
Nagma Khan United Kingdom 5 702 2.2× 43 0.1× 113 0.6× 39 0.7× 68 1.5× 8 829

Countries citing papers authored by Guowei Su

Since Specialization
Citations

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

Fields of papers citing papers by Guowei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guowei Su

This figure shows the co-authorship network connecting the top 25 collaborators of Guowei Su. A scholar is included among the top collaborators of Guowei Su 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 Guowei Su. Guowei Su 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.
Krahn, J.M., Guowei Su, Yongmei Xu, et al.. (2024). Heparan sulfate selectively inhibits the collagenase activity of cathepsin K. Matrix Biology. 129. 15–28. 7 indexed citations
2.
Melo‐Filho, Cleber C., et al.. (2024). Modeling interactions between Heparan sulfate and proteins based on the Heparan sulfate microarray analysis. Glycobiology. 34(7). 2 indexed citations
3.
Zhang, Wencheng, Yongmei Xu, Xicheng Wang, et al.. (2023). Fibrolamellar carcinomas–growth arrested by paracrine signals complexed with synthesized 3-O sulfated heparan sulfate oligosaccharides. Matrix Biology. 121. 194–216. 3 indexed citations
4.
Zhu, Yanan, Guowei Su, James M. Gibson, et al.. (2023). Apolipoprotein E Recognizes Alzheimer's Disease Associated 3‐O Sulfation of Heparan Sulfate. Angewandte Chemie. 135(23). 1 indexed citations
5.
Wang, Lei, Alexander W. Sorum, Guowei Su, et al.. (2023). Efficient platform for synthesizing comprehensive heparan sulfate oligosaccharide libraries for decoding glycosaminoglycan–protein interactions. Nature Chemistry. 15(8). 1108–1117. 34 indexed citations
6.
Wang, Zhangjie, Vaishali Patel, Xuehong Song, et al.. (2023). Increased 3- O -sulfated heparan sulfate in Alzheimer’s disease brain is associated with genetic risk gene HS3ST1. Science Advances. 9(21). eadf6232–eadf6232. 16 indexed citations
7.
Zhu, Yanan, Guowei Su, Jing Zhao, et al.. (2023). Apolipoprotein E Recognizes Alzheimer's Disease Associated 3‐O Sulfation of Heparan Sulfate. Angewandte Chemie International Edition. 62(23). e202212636–e202212636. 15 indexed citations
9.
Benický, Július, Miloslav Šanda, Jian Liu, et al.. (2023). A 6-O-endosulfatase activity assay based on synthetic heparan sulfate oligomers. Glycobiology. 33(5). 384–395. 6 indexed citations
10.
Liu, Wei, Jine Li, Zhangjie Wang, et al.. (2022). Chemoenzymatic Synthesis of Homogeneous Heparan Sulfate and Chondroitin Sulfate Chimeras. ACS Chemical Biology. 17(5). 1207–1214. 11 indexed citations
11.
Royaux, Inès, Jian Liu, Zhangjie Wang, et al.. (2022). The 3-O sulfation of heparan sulfate proteoglycans contributes to the cellular internalization of tau aggregates. BMC Molecular and Cell Biology. 23(1). 61–61. 11 indexed citations
12.
Baryal, Kedar N., Sherif Ramadan, Guowei Su, et al.. (2022). Synthesis of a Systematic 64‐Membered Heparan Sulfate Tetrasaccharide Library. Angewandte Chemie International Edition. 62(1). e202211985–e202211985. 20 indexed citations
13.
Liu, Xinyue, Guowei Su, Miaomiao Li, et al.. (2021). pH-dependent and dynamic interactions of cystatin C with heparan sulfate. Communications Biology. 4(1). 198–198. 11 indexed citations
14.
Ham, Hyun Ok, Carolyn A. Haller, Guowei Su, et al.. (2021). A rechargeable anti-thrombotic coating for blood-contacting devices. Biomaterials. 276. 121011–121011. 9 indexed citations
15.
Lin, Yi, Yongmei Xu, Vijayakanth Pagadala, et al.. (2020). Using engineered 6-O-sulfotransferase to improve the synthesis of anticoagulant heparin. Organic & Biomolecular Chemistry. 18(40). 8094–8102. 10 indexed citations
16.
Wang, Zhangjie, Yongmei Xu, Vijayakanth Pagadala, et al.. (2020). Quantitative analysis of heparan sulfate using isotopically labeled calibrants. Communications Biology. 3(1). 425–425. 17 indexed citations
17.
Hippensteel, Joseph A., Brian J. Anderson, James E. Orfila, et al.. (2019). Circulating heparan sulfate fragments mediate septic cognitive dysfunction. Journal of Clinical Investigation. 129(4). 1779–1784. 86 indexed citations
18.
Nguyen, Khue G., Srinivas Jayanthi, Ravi Kumar Gundampati, et al.. (2019). Molecular mechanisms of heparin-induced modulation of human interleukin 12 bioactivity. Journal of Biological Chemistry. 294(12). 4412–4424. 24 indexed citations
19.
Su, Guowei, et al.. (2019). Characterization and engineering of S100A12–heparan sulfate interactions. Glycobiology. 30(7). 463–473. 7 indexed citations
20.
Su, Guowei, et al.. (2015). Production of a low molecular weight heparin production using recombinant glycuronidase. Carbohydrate Polymers. 134. 151–157. 7 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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