Lianli Chi

2.5k total citations · 1 hit paper
74 papers, 2.0k citations indexed

About

Lianli Chi is a scholar working on Cell Biology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Lianli Chi has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cell Biology, 43 papers in Molecular Biology and 17 papers in Organic Chemistry. Recurrent topics in Lianli Chi's work include Proteoglycans and glycosaminoglycans research (44 papers), Glycosylation and Glycoproteins Research (33 papers) and Carbohydrate Chemistry and Synthesis (16 papers). Lianli Chi is often cited by papers focused on Proteoglycans and glycosaminoglycans research (44 papers), Glycosylation and Glycoproteins Research (33 papers) and Carbohydrate Chemistry and Synthesis (16 papers). Lianli Chi collaborates with scholars based in China, United States and Japan. Lianli Chi's co-authors include Robert J. Linhardt, I. Jonathan Amster, Jeremy J. Wolff, Fuming Zhang, Deling Shi, Xinyue Liu, Zhangjie Wang, Xiaojun Sun, Bin Zhang and Lan Jin and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lianli Chi

74 papers receiving 2.0k citations

Hit Papers

Heparin: An old drug for new clinical applications 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianli Chi China 29 1.2k 952 423 287 227 74 2.0k
Timothy R. Rudd United Kingdom 24 967 0.8× 800 0.8× 249 0.6× 85 0.3× 141 0.6× 69 1.7k
Ding Xu United States 25 1.3k 1.1× 1.1k 1.2× 372 0.9× 42 0.1× 140 0.6× 64 2.4k
Li Fu United States 20 792 0.7× 644 0.7× 271 0.6× 17 0.1× 192 0.8× 43 1.5k
Kinzo Nagasawa Japan 20 859 0.7× 868 0.9× 406 1.0× 88 0.3× 53 0.2× 109 2.0k
Mark A. Skidmore United Kingdom 21 513 0.4× 517 0.5× 161 0.4× 35 0.1× 102 0.4× 47 1.0k
Neil Jentoft United States 23 1.8k 1.5× 398 0.4× 534 1.3× 182 0.6× 135 0.6× 29 2.7k
Marcelo A. Lima Brazil 22 608 0.5× 526 0.6× 177 0.4× 19 0.1× 130 0.6× 76 1.4k
Baoyun Xia United States 22 1.9k 1.5× 321 0.3× 722 1.7× 145 0.5× 186 0.8× 34 2.5k
Katsuko Yamashita Japan 38 3.1k 2.6× 532 0.6× 1.2k 2.9× 110 0.4× 264 1.2× 117 4.1k

Countries citing papers authored by Lianli Chi

Since Specialization
Citations

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

Fields of papers citing papers by Lianli Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianli Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Lianli Chi. A scholar is included among the top collaborators of Lianli Chi 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 Lianli Chi. Lianli Chi 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
2.
Shi, Deling, Keith Fraser, Jonathan S. Dordick, et al.. (2023). New insights into the binding of PF4 to long heparin oligosaccharides in ultralarge complexes using mass spectrometry. Journal of Thrombosis and Haemostasis. 21(12). 3608–3618. 7 indexed citations
3.
Shi, Deling, Peng He, Yuefan Song, et al.. (2023). Interactions of heparin with key glycoproteins of human respiratory syncytial virus. Frontiers in Molecular Biosciences. 10. 1151174–1151174. 4 indexed citations
4.
Li, Honglian, Marco Maccarana, Wei Zhang, et al.. (2022). Interacting polymer-modification enzymes in heparan sulfate biosynthesis. Carbohydrate Polymers. 299. 120191–120191. 7 indexed citations
5.
Shi, Deling, Peng He, Yuefan Song, et al.. (2022). Kinetic and Structural Aspects of Glycosaminoglycan–Monkeypox Virus Protein A29 Interactions Using Surface Plasmon Resonance. Molecules. 27(18). 5898–5898. 41 indexed citations
6.
Zhang, Bin, Deling Shi, Mengmeng Li, Feng Shi, & Lianli Chi. (2022). A quantitative mass spectrometry method to differentiate bovine and ovine heparins from pharmaceutical porcine heparin. Carbohydrate Polymers. 301(Pt A). 120303–120303. 8 indexed citations
7.
Zhang, Qingdong, Hai‐Yan Cao, Lin Wei, et al.. (2021). Discovery of exolytic heparinases and their catalytic mechanism and potential application. Nature Communications. 12(1). 1263–1263. 19 indexed citations
8.
Shi, Deling, et al.. (2021). Glycosaminoglycan-Protein Interactions and Their Roles in Human Disease. Frontiers in Molecular Biosciences. 8. 639666–639666. 105 indexed citations
9.
Bi, Decheng, Lijun Yao, Lianli Chi, et al.. (2020). Unsaturated mannuronate oligosaccharide ameliorates β‐amyloid pathology through autophagy in Alzheimer’s disease cell models. Carbohydrate Polymers. 251. 117124–117124. 34 indexed citations
10.
Liu, Ying, Wenyan Xie, Huanshun Wen, et al.. (2019). Mutations in the HRB linker of human parainfluenza virus type 3 fusion protein reveal its importance for fusion activity. Virus Research. 275. 197791–197791. 2 indexed citations
11.
Liu, Ying, Huanshun Wen, Li Zhao, et al.. (2019). The DI–DII linker of human parainfluenza virus type 3 fusion protein is critical for the virus. Virus Genes. 56(1). 37–48. 3 indexed citations
12.
Jiang, Jingjing, Huanshun Wen, Ying Liu, et al.. (2018). Functional analysis of amino acids at stalk/head interface of human parainfluenza virus type 3 hemagglutinin-neuraminidase protein in the membrane fusion process. Virus Genes. 54(3). 333–342. 3 indexed citations
13.
Liu, Xin, Hongmei Li, Zhangjie Wang, et al.. (2018). Characterization of epimerization and composition of heparin and dalteparin using a UHPLC-ESI-MS/MS method. Carbohydrate Polymers. 203. 87–94. 16 indexed citations
14.
15.
Wang, Zhangjie, et al.. (2017). Sequencing the oligosaccharide pool in the low molecular weight heparin dalteparin with offline HPLC and ESI–MS/MS. Carbohydrate Polymers. 183. 81–90. 23 indexed citations
16.
Li, Daoyuan, Ping Zhang, Fei Li, et al.. (2015). Recognition of N-Glycoforms in Human Chorionic Gonadotropin by Monoclonal Antibodies and Their Interaction Motifs. Journal of Biological Chemistry. 290(37). 22715–22723. 7 indexed citations
17.
18.
Chi, Lianli, Eva Muñoz, Hyung Seok Choi, et al.. (2006). Preparation and structural determination of large oligosaccharides derived from acharan sulfate. Carbohydrate Research. 341(7). 864–869. 13 indexed citations
19.
Krupa, Joanne C., David Shaya, Lianli Chi, et al.. (2006). Quantitative continuous assay for hyaluronan synthase. Analytical Biochemistry. 361(2). 218–225. 13 indexed citations
20.
Warda, Mohamad, et al.. (2003). Isolation and characterization of raw heparin from dromedary intestine: evaluation of a new source of pharmaceutical heparin. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 136(4). 357–365. 29 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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