Shan Ding

801 citations
40 papers · 604 · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 2
    • Protein Degradation and Inhibitors 2
    • Synthesis and biological activity 3
    • Synthesis and Characterization of Heterocyclic Compounds 2
    • Catalytic Cross-Coupling Reactions 2
    • Click Chemistry and Applications 2

Shan Ding

36 papers receiving 600 citations

Peers

Shan Ding
Comparison fields: 5 of 111
  • Structural Biology 30
  • Complementary and Manual Therapy 10
  • Molecular Biology 283
  • Organic Chemistry 100
  • Biomaterials 45
Replace Łukasz Mielańczyk with:
Łukasz Mielańczyk Poland
Toru Koike Japan
Je Choi South Korea
Gerald G. Miller Canada
Yuuki Yamaguchi Japan
Anhui Wang China
Samo Hudoklin Slovenia
Michael A. Meledeo United States
Jianjun Hu China
Raffaele Spanò Italy
Shan Ding relative to Łukasz Mielańczyk Poland Łukasz Mielańczyk's profile →
Citations per field
00.5×1.5×2.5×
Łukasz Mielańczyk · 1×
Citations per year

Countries citing papers authored by Shan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 202080
3 201856
4 202347
5 201333
6 201628
7 201726
8 202322
9 202219
10 202318
11 202316
12 202315
13 202115
14 201113
15 201812
16 201811
17 201511
18 202210
19 20149
20 20119

About Shan Ding

Shan Ding is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Physiology and Electronic, Optical and Magnetic Materials, having authored 40 papers that have together received 604 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Synthesis and biological activity (3 papers), Glycosylation and Glycoproteins Research (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Bone Tissue Engineering Materials (2 papers), Catalytic Cross-Coupling Reactions (2 papers), Click Chemistry and Applications (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Structural Biology (30 citations), Complementary and Manual Therapy (10 citations), Molecular Biology (283 citations), Organic Chemistry (100 citations) and Biomaterials (45 citations). Shan Ding has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ziqing Mei, Yujing Ren, Mingxian Liu, Rui Yang, Radoslav I. Enchev, Xiaoying Lin, Yunqing He, Yue Feng, Jinchao Zhang and Jiawei Wang. Their work appears in journals such as Molecular Cell, Cell Research, Applied Surface Science, Engineering Failure Analysis and Biological Trace Element Research.

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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