Sijin Wu

1.7k citations
53 papers · 846 · h-index 19

Impact in

    • Antimicrobial Peptides and Activities
    • Glycosylation and Glycoproteins Research
    • Biochemical and Structural Characterization
    • Protein Degradation and Inhibitors
    • Nuclear Structure and Function

Papers in

    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 5
    • Protein Structure and Dynamics 4
    • Galectins and Cancer Biology 4
    • Immune Cell Function and Interaction 3

Sijin Wu

50 papers receiving 835 citations

Peers

Sijin Wu
Comparison fields: 5 of 102
  • Microbiology 97
  • Molecular Biology 490
  • Immunology 145
  • Cancer Research 68
  • Oncology 109
Replace Jinmei Jin with:
Jinmei Jin China
Hee‐Chul Ahn South Korea
Yongliang Yang China
Xiaojuan Hou China
Peng Lyu China
Carlos R. Figueiredo Brazil
Khadija Essafi‐Benkhadir Tunisia
Habib Karoui Tunisia
Raffaele Frazzi Italy
Sijin Wu relative to Jinmei Jin China Jinmei Jin's profile →
Citations per field
00.5×10×12.5×
Jinmei Jin · 1×
Citations per year

Countries citing papers authored by Sijin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sijin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015114
2 201752
3 201851
4 201642
5 201339
6 202339
7 201838
8 201731
9 202329
10 202228
11 202427
12 202226
13 202025
14 202420
15 202320
16 201919
17 201519
18 202019
19 202118
20 202017

About Sijin Wu

Sijin Wu is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Plant Science, having authored 53 papers that have together received 846 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (4 papers), Protein Structure and Dynamics (4 papers), Food composition and properties (3 papers), Phytochemistry and Bioactive Compounds (3 papers), Computational Drug Discovery Methods (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Microbiology (97 citations), Molecular Biology (490 citations), Immunology (145 citations), Cancer Research (68 citations) and Oncology (109 citations). Sijin Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongliang Yang, Mingshan Niu, Haining Yu, Xiaolin Cheng, Lei Mao, Yubo Liu, Wenli Li, Jianing Zhang, Zeping Xie and Jiuxiang Gao. Their work appears in journals such as Nature Communications, Journal of Natural Products, Applied Microbiology and Biotechnology, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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