Shirui Tan
Impact in
- Molecular Medicine top 5%
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- CRISPR and Genetic Engineering 3
- Inflammasome and immune disorders 3
- Epidemiology 11
- Autophagy in Disease and Therapy 11
- Co-authors
- Min Wu (14 shared papers)Shuan Li (1 shared paper)Zhen Li (1 shared paper)Kunhua Wang (1 shared paper)Qiang Shen (1 shared paper)Rongpeng Li (14 shared papers)Min Yu (4 shared papers)Yuquan Wei (4 shared papers)
- Journals
- The Journal of Immunology (4 papers)Journal of Agriculture and Food Research (3 papers)Scientific Reports (2 papers)Plant Science (2 papers)Colloids and Surfaces B Biointerfaces (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Shirui Tan
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Molecular Medicine 74
- Biomaterials 188
- Endocrinology 58
- Molecular Biology 645
- Immunology 193
Countries citing papers authored by Shirui Tan
This map shows the geographic impact of Shirui Tan'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 Shirui Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirui Tan more than expected).
Fields of papers citing papers by Shirui Tan
This network shows the impact of papers produced by Shirui Tan. 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 Shirui Tan. The network helps show where Shirui Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shirui Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 306 | |
| 2 | 2017 | 140 | |
| 3 | 2016 | 94 | |
| 4 | 2019 | 92 | |
| 5 | 2015 | 78 | |
| 6 | 2017 | 74 | |
| 7 | 2015 | 66 | |
| 8 | 2019 | 51 | |
| 9 | 2016 | 46 | |
| 10 | 2020 | 39 | |
| 11 | 2014 | 32 | |
| 12 | 2017 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2019 | 28 | |
| 15 | 2015 | 25 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 2019 | 18 | |
| 20 | 2015 | 17 |
About Shirui Tan
Shirui Tan is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Immunology and Plant Science, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), MicroRNA in disease regulation (5 papers), CRISPR and Genetic Engineering (3 papers), Plant Stress Responses and Tolerance (3 papers), Immune Response and Inflammation (3 papers), Antibiotic Resistance in Bacteria (3 papers), Inflammasome and immune disorders (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Molecular Medicine (74 citations), Biomaterials (188 citations), Endocrinology (58 citations), Molecular Biology (645 citations) and Immunology (193 citations). Shirui Tan has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Min Wu, Shuan Li, Zhen Li, Kunhua Wang, Qiang Shen, Rongpeng Li, Min Yu, Yuquan Wei, Xuefeng Li and Yuqian Xing. Their work appears in journals such as The Journal of Immunology, Journal of Agriculture and Food Research, Scientific Reports, Plant Science and Colloids and Surfaces B Biointerfaces.
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.