Deling Shi

474 citations
20 papers · 367 · h-index 10

Impact in

  • Virology top 10%
    • Poxvirus research and outbreaks
    • Seaweed-derived Bioactive Compounds
    • Echinoderm biology and ecology

Papers in

Deling Shi

20 papers receiving 364 citations

Peers

Deling Shi
Comparison fields: 5 of 80
  • Virology 45
  • Aquatic Science 63
  • Cell Biology 111
  • Infectious Diseases 42
  • Biotechnology 20
Replace Natalia Belogortseva with:
Natalia Belogortseva United States
Patrick N. Shaklee United States
Andréa Novais Moreno Brazil
Yusen Zhou United States
Mateus Nóbrega Aoki Brazil
Melva L. Gonzalez United States
Pisana Rawson New Zealand
Diane Ilsley United States
Vartika Sharma India
Rikio Yabe Japan
Deling Shi relative to Natalia Belogortseva United States Natalia Belogortseva's profile →
Citations per field
00.5×4.5×
Natalia Belogortseva · 1×
Citations per year

Countries citing papers authored by Deling Shi

Since Specialization
Citations

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

Fields of papers citing papers by Deling Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021109
2 201952
3 202245
4 202233
5 202119
6 202218
7 202315
8 202313
9 20229
10 20239
11 20229
12 20238
13 20227
14 20234
15 20234
16 20234
17 20244
18 20243
19 20251
20 20251

About Deling Shi

Deling Shi is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Epidemiology and Infectious Diseases, having authored 20 papers that have together received 367 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Pneumonia and Respiratory Infections (3 papers), Seaweed-derived Bioactive Compounds (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Protease and Inhibitor Mechanisms (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Virology (45 citations), Aquatic Science (63 citations), Cell Biology (111 citations), Infectious Diseases (42 citations) and Biotechnology (20 citations). Deling Shi has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Lianli Chi, Fuming Zhang, Robert J. Linhardt, Jonathan S. Dordick, Peng He, Junhua Qi, Yang Yi, Hongwei Zhang, Xue Zhao and Huicheng Yang. Their work appears in journals such as International Journal of Biological Macromolecules, Carbohydrate Polymers, Frontiers in Molecular Biosciences, Journal of Thrombosis and Haemostasis and Nature Communications.

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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