Shaojun Ding

1.7k citations
73 papers · 1.3k · h-index 21

Impact in

  • Biotechnology top 0.5%
    • Enzyme Production and Characterization
    • Biochemical and biochemical processes
    • Microbial Metabolism and Applications
    • Biofuel production and bioconversion

Papers in

Shaojun Ding

72 papers receiving 1.3k citations

Peers

Shaojun Ding
Comparison fields: 5 of 74
  • Biotechnology 618
  • Biomedical Engineering 640
  • Plant Science 485
  • Biomaterials 163
  • Pollution 92
Replace Liangkun Long with:
Liangkun Long China
Maria Dimarogona Greece
Jane W. Agger Denmark
Laura I. de Eugenio Spain
Maurício Moura da Silveira Brazil
Neena Puri India
Caroline Rémond France
Liming Xia China
Zhizhuang Xiao Canada
Lívia Beatriz Brenelli Brazil
Shaojun Ding relative to Liangkun Long China Liangkun Long's profile →
Citations per field
00.5×3.1×
Liangkun Long · 1×
Citations per year

Countries citing papers authored by Shaojun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201272
2 201871
3 200151
4 201451
5 201444
6 201844
7 200241
8 201637
9 200630
10 201830
11 201930
12 201229
13 202129
14 201728
15 202027
16 202025
17 201524
18 201723
19 201322
20 200621

About Shaojun Ding

Shaojun Ding is a scholar working on Biomedical Engineering, Biotechnology, Plant Science, Molecular Biology and Biomaterials, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (46 papers), Enzyme Production and Characterization (29 papers), Enzyme-mediated dye degradation (15 papers), Polysaccharides and Plant Cell Walls (14 papers), Enzyme Catalysis and Immobilization (11 papers), Biochemical and biochemical processes (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Advanced Cellulose Research Studies (7 papers). The work is most often cited by research in Biotechnology (618 citations), Biomedical Engineering (640 citations), Plant Science (485 citations), Biomaterials (163 citations) and Pollution (92 citations). Shaojun Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liangkun Long, Lulu Li, Fei Zheng, J. A. Buswell, Wei Ge, Kaixiang Chen, Kankan Jiang, Qunying Lin, Tianrui Zhang and Min Liu. Their work appears in journals such as Applied Microbiology and Biotechnology, Process Biochemistry, BioResources, Applied Biochemistry and Biotechnology and International Journal of Biological Macromolecules.

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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