Jishun Lu

991 citations
18 papers · 853 · h-index 15

Impact in

Papers in

    • Galectins and Cancer Biology 11
    • Glycosylation and Glycoproteins Research 15
    • Bacterial biofilms and quorum sensing 2
    • RNA Interference and Gene Delivery 1

Jishun Lu

18 papers receiving 846 citations

Peers

Jishun Lu
Comparison fields: 5 of 82
  • Molecular Medicine 115
  • Immunology 276
  • Molecular Biology 581
  • Cell Biology 131
  • Immunology and Allergy 37
Replace Justin Edwin Fang with:
Justin Edwin Fang United States
Jason Thomas George United States
Gudrun Dandekar Germany
Yan Du China
Roun Heo South Korea
Sol Shin South Korea
Peter Abdou United States
Sara Previdi Italy
Kévin Vanvarenberg Belgium
Anastasia Kristine Varanko United States
Jishun Lu relative to Justin Edwin Fang United States Justin Edwin Fang's profile →
Citations per field
00.5×2×3×3.9×
Justin Edwin Fang · 1×
Citations per year

Countries citing papers authored by Jishun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jishun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013167
2 201596
3 201494
4 201588
5 201483
6 201647
7 201644
8 201543
9 201741
10 200923
11 201722
12 202220
13 201619
14 201917
15 200917
16 201915
17 201812
18 20185

About Jishun Lu

Jishun Lu is a scholar working on Immunology, Molecular Biology, Cell Biology, Organic Chemistry and Environmental Engineering, having authored 18 papers that have together received 853 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Galectins and Cancer Biology (11 papers), Carbohydrate Chemistry and Synthesis (5 papers), Proteoglycans and glycosaminoglycans research (3 papers), Bacterial biofilms and quorum sensing (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), RNA Interference and Gene Delivery (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (115 citations), Immunology (276 citations), Molecular Biology (581 citations), Cell Biology (131 citations) and Immunology and Allergy (37 citations). Jishun Lu has collaborated with scholars based in Japan, China and Sri Lanka. Frequent co-authors include Jianguo G. Gu, Tomohiko Fukuda, Tomoya Isaji, Sanghun Im, Qinglei Hang, Daisuke Takakura, Nana Kawasaki, Noritaka Hashii, Yuqin Wang and Wei Gu. Their work appears in journals such as Journal of Biological Chemistry, Molecules, The FASEB Journal, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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