Shugang Qin
- Molecular Medicine top 2%
- Endocrinology top 5%
- Microbiology top 5%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 12
- CRISPR and Genetic Engineering 5
- RNA and protein synthesis mechanisms 5
- Advanced biosensing and bioanalysis techniques 5
- RNA regulation and disease 4
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- SARS-CoV-2 and COVID-19 Research 6
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- Immunotherapy and Immune Responses 5
- interferon and immune responses 4
- Journals
- Nucleic Acids Research (1 paper)Advanced Materials (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shugang Qin
33 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Medicine 271
- Endocrinology 127
- Microbiology 139
- Molecular Biology 1.3k
- Applied Microbiology and Biotechnology 30
Countries citing papers authored by Shugang Qin
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
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
The 25 scholars most cited alongside Shugang Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 32 | |
| 12 | Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeuticsbreakdown → | 2022 | 766 |
| 13 | 2022 | 7 | |
| 14 | mRNA-based therapeutics: powerful and versatile tools to combat diseasesbreakdown → | 2022 | 476 |
| 15 | 2021 | 15 | |
| 16 | 2021 | 65 | |
| 17 | 2020 | 14 | |
| 18 | 2020 | 31 | |
| 19 | 2019 | 32 | |
| 20 | 2019 | 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), CRISPR and Genetic Engineering (5 papers), Immunotherapy and Immune Responses (5 papers), RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), interferon and immune responses (4 papers) and RNA regulation and disease (4 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.