Lei Shi
- Molecular Biology top 2%
- Cancer Research top 2%
- Endocrinology top 0.5%
- Immunology top 5%
- Biomedical Engineering top 5%
- Topics
- Antibiotic Resistance in Bacteria (27 papers)Vibrio bacteria research studies (18 papers)Biosensors and Analytical Detection (18 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lei Shi
156 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.5k
- Cancer Research 1.0k
- Endocrinology 827
- Immunology 787
- Biomedical Engineering 748
Countries citing papers authored by Lei Shi
This map shows the geographic impact of Lei 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 Lei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Shi more than expected).
Fields of papers citing papers by Lei Shi
This network shows the impact of papers produced by Lei 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 Lei Shi. The network helps show where Lei Shi may publish in the future.
Co-authorship network of co-authors of Lei Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Shi. A scholar is included among the top collaborators of Lei Shi 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 Lei Shi. Lei Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | 62 | |
| 9 | 30 | |
| 10 | 24 | |
| 11 | 114 | |
| 12 | Structure Analysis and Homology Modeling of DfrA12 Protein | 1 |
| 13 | 25 | |
| 14 | Application of Loop-mediated Isothermal Amplification Assay for Detection Peanut allergy | 1 |
| 15 | 21 | |
| 16 | Detection and genotyping of Campylobacter jejuni and Campylobacter coli in food samples by fla-DGGE. | 1 |
| 17 | Cloning of Choline Monooxygenase Gene from Haloxylon ammodendron and Construction of Its Plant Expression Vector | 1 |
| 18 | Study on Efflux Pump-mediated Multidrug Resistance of Clinical Pathogenic Bacteria | 1 |
| 19 | 31 | |
| 20 | Rapid Detection of Vibrio parahaemolyticus by Loop-mediated Isothermal Amplification Method | 1 |
About Lei Shi
Lei Shi is a scholar working on Molecular Medicine, Endocrinology and Cancer Research, having authored 163 papers that have together received 5.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (27 papers), Vibrio bacteria research studies (18 papers) and Biosensors and Analytical Detection (18 papers). The work is most often cited by research in Endocrinology (827 citations), Molecular Medicine (653 citations) and Cancer Research (1.0k citations). Lei Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shinji Yamasaki, Zhenbo Xu, Mark E. Shirtliff, He Yan, Li Lin, Michela Garofalo, Sumió Shinoda, Lin Li, Qinghua Wu and Md. Jahangir Alam. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.