Jing Su

1.1k citations
47 papers · 766 indexed · h-index 15

Impact in

    • Protein Degradation and Inhibitors
    • Protein Tyrosine Phosphatases
    • Protein Structure and Dynamics
    • Microbial Metabolic Engineering and Bioproduction
    • bioluminescence and chemiluminescence research
  • Toxicology top 10%

Papers in

    • Microbial Metabolic Engineering and Bioproduction 11
    • Enzyme Catalysis and Immobilization 6
    • Protein Structure and Dynamics 4
    • Biochemical and Molecular Research 4
    • Biofuel production and bioconversion 7

Jing Su

45 papers receiving 754 citations

Peers

Jing Su
Comparison fields: 5 of 86
  • Molecular Biology 543
  • Toxicology 22
  • Hematology 57
  • Biotechnology 39
  • Pharmacology 75
Replace Xiao‐Li Li with:
Xiao‐Li Li China
Silvana Casati Italy
Zhibing Zheng China
Jinmei Jin China
Silvia Gervasoni Italy
Zhaoliang Li United States
Manuela Rodriquez Italy
Jeffrey D. Scholten United States
Jing Su relative to Xiao‐Li Li China Xiao‐Li Li's profile →
Citations per field
00.5×1.5×2.4×
Xiao‐Li Li · 1×
Citations per year

Countries citing papers authored by Jing Su

Since Specialization
Citations

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

Fields of papers citing papers by Jing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002110
2 201591
3 201749
4 201847
5 201740
6 201736
7 201832
8 201530
9 201727
10 201820
11 201719
12 201818
13 201818
14 201717
15 201516
16 202314
17 201814
18 201013
19 202412
20 202112

About Jing Su

Jing Su is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Pharmacology and Computational Theory and Mathematics, having authored 47 papers that have together received 766 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (7 papers), Enzyme Catalysis and Immobilization (6 papers), Protein Structure and Dynamics (4 papers), Biochemical and Molecular Research (4 papers), Enzyme Production and Characterization (4 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (543 citations), Toxicology (22 citations), Hematology (57 citations), Biotechnology (39 citations) and Pharmacology (75 citations). Jing Su has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Fangfang Yan, Jianzhong Chen, Qinggang Zhang, Shaolong Zhang, Ruiming Wang, Junqing Wang, Zhaoquan Xing, Xinguo Liu, Sten Nilsson and Zhaoxu Liu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Frontiers in Microbiology, Journal of Biomolecular Structure and Dynamics, Fermentation and Structures.

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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