Li Fu

1.9k citations
43 papers · 1.5k · h-index 20

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Glycosylation and Glycoproteins Research
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Glycosylation and Glycoproteins Research 21
    • Fibroblast Growth Factor Research 5
    • Proteoglycans and glycosaminoglycans research 27

Li Fu

42 papers receiving 1.4k citations

Peers

Li Fu
Comparison fields: 5 of 113
  • Cell Biology 644
  • Molecular Biology 792
  • Internal Medicine 43
  • Critical Care and Intensive Care Medicine 55
  • Organic Chemistry 271
Replace Lianli Chi with:
Lianli Chi China
Giuseppe Mascellani Italy
Yasuhiro Natori Japan
Ning Yang China
Edward Tarelli United Kingdom
Michael Acker United States
John D. Lapek United States
Moacyr Jesus Barreto de Melo Rêgo Brazil
Yuji Iizawa Japan
Valerie A. Schroeder United States
Li Fu relative to Lianli Chi China Lianli Chi's profile →
Citations per field
00.5×1.5×2.0×
Lianli Chi · 1×
Citations per year

Countries citing papers authored by Li Fu

Since Specialization
Citations

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

Fields of papers citing papers by Li Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li Fu, 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 Li Fu Line = papers co-authored together Li Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020231
2 2015129
3 2014117
4 2014112
5 2015104
6 2013100
7 201968
8 201460
9 201549
10 202147
11 201642
12 201939
13 201335
14 201434
15 202127
16 201324
17 202023
18 201822
19 201722
20 201420

About Li Fu

Li Fu is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Surgery and Hematology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (27 papers), Glycosylation and Glycoproteins Research (21 papers), Carbohydrate Chemistry and Synthesis (7 papers), Fibroblast Growth Factor Research (5 papers), Heparin-Induced Thrombocytopenia and Thrombosis (5 papers), Platelet Disorders and Treatments (4 papers), Phytochemistry and Biological Activities (3 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Cell Biology (644 citations), Molecular Biology (792 citations), Internal Medicine (43 citations), Critical Care and Intensive Care Medicine (55 citations) and Organic Chemistry (271 citations). Li Fu has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Robert J. Linhardt, Fuming Zhang, Guoyun Li, Jonathan S. Dordick, Mattheos Koffas, Wenqin He, Akihiro Onishi, J. Andrew Jones, Oliver C. Grant and Mark M. Fuster. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Pharmaceutical Sciences, Carbohydrate Polymers, Proceedings of the National Academy of Sciences and Glycobiology.

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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