Dejing Shang

457 citations
23 papers · 388 indexed · h-index 11

Dejing Shang

21 papers receiving 383 citations

Peers

Dejing Shang
Comparison fields: 5 of 65
  • Microbiology 213
  • Molecular Medicine 23
  • Immunology 85
  • Pharmacology 50
  • Molecular Biology 179
Replace Elaheh Jamasbi with:
Elaheh Jamasbi Australia
Elizabeth Cristina Gomes dos Santos Brazil
Were L. L. Munyendo Kenya
Gayatri Tripathi India
Wenjing Chen China
Alicia S. Ombredane Brazil
Maria Schmuck Austria
Bingchao Duan China
Akshad Balde India
Boin Lee South Korea
Dejing Shang relative to Elaheh Jamasbi Australia Elaheh Jamasbi's profile →
Citations per field
00.5×2.7×
Elaheh Jamasbi · 1×
Citations per year

Countries citing papers authored by Dejing Shang

Since Specialization
Citations

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

Fields of papers citing papers by Dejing Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20243
5 20236
6 20213
7 202018
8 202013
9 201824
10 201819
11 201739
12 201615
13 201227
14 201161
15 201125
16 200962
17
[Cloning of cDNAs encoding skin antimicrobial peptide precursors from Chinese brown frogs, Rana chensinensis and determination of antimicrobial, anticancer and hemolysis activity].
20091
18 20098
19
Research progress of selenium compounds-induced apoptosis of tumor cells
20081
20
Study on deep fermentation of Cordyceps sinensis
19961

About Dejing Shang

Dejing Shang is a scholar working on Microbiology, Molecular Medicine and Aging, having authored 23 papers that have together received 388 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (11 papers), Immune Response and Inflammation (5 papers), Biochemical and Structural Characterization (4 papers), Selenium in Biological Systems (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Fungal Biology and Applications (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Microbiology (213 citations), Molecular Medicine (23 citations) and Immunology (85 citations). Dejing Shang has collaborated with scholars based in China. Frequent co-authors include Weibing Dong, Che Wang, Huibing Li, Song Li, Jianing Zhang, Yue Guan, Lili Tian, Qiao Ling Cui, Wen Lei and Yang Li. Their work appears in journals such as Scientific Reports, Journal of Macromolecular Science Part A, European Journal of Medicinal Chemistry, Journal of Materials Chemistry B and IEEE Transactions on Visualization and Computer Graphics.

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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