Shugang Qin

2.9k citations
40 papers · 1.9k indexed · 2 hit papers · h-index 16
Topics
RNA Interference and Gene Delivery (12 papers)SARS-CoV-2 and COVID-19 Research (6 papers)CRISPR and Genetic Engineering (5 papers)

In The Last Decade

Shugang Qin

33 papers receiving 1.9k citations

Hit Papers

Pseudomonas aeruginosa: pathogenesis, virulence factors, ...202220262023202420222022250500750

Peers

Shugang Qin
Comparison fields: 5 of 122
  • Molecular Biology 1.3k
  • Immunology 312
  • Molecular Medicine 271
  • Infectious Diseases 204
  • Genetics 180
Replace Qinqin Pu with:
Qinqin Pu United States
Caroline Porter United States
Haihua Liang China
Kok‐Fai Kong United States
Christian Köhler Germany
Oleg Krut Germany
Clement Opoku‐Temeng United States
Xiaoxing Luo China
Zhenyu Wang China
Heleen Van Acker Belgium
Shugang Qin relative to Qinqin Pu United States Qinqin Pu's profile →
Citations per field
00.5×1.7×
Qinqin Pu · 1×
Citations per year

Countries citing papers authored by Shugang Qin

Since Specialization
Citations

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

Fields of papers citing papers by Shugang Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shugang Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Shugang Qin. A scholar is included among the top collaborators of Shugang Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shugang Qin. Shugang Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 8
7 10
8 15
9 10
10 15
11 32
12
Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeuticsbreakdown →
766
13 7
14
mRNA-based therapeutics: powerful and versatile tools to combat diseasesbreakdown →
476
15 15
16 65
17 14
18 31
19 32
20 10

About Shugang Qin

Shugang Qin is a scholar working on Immunology, Endocrinology and Molecular Medicine, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Medicine (271 citations), Endocrinology (127 citations) and Microbiology (139 citations). Shugang Qin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Wu, Xiangrong Song, Qinqin Pu, Chuan‐Min Zhou, Wen Xiao, Xin Deng, Lefu Lan, Haihua Liang, Na Fan and Wen Xiao. Their work appears in journals such as Nucleic Acids Research, Advanced Materials 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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