Li Ye
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
-
- Complex Network Analysis Techniques
Papers in
- Co-authors
- Kudelaidi KuerbanMeiqing FengJiayang LiuMengxue DongChaofeng ShaYanchun ZhangXin HuangLina Wu
- Journals
- Applied Microbiology and Biotechnology (5 papers)Frontiers in Immunology (2 papers)Molecules (2 papers)Bioscience Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Li Ye
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Microbiology 91
- Statistical and Nonlinear Physics 118
- Pharmacology 83
- Molecular Biology 624
- Biotechnology 63
Countries citing papers authored by Li Ye
This map shows the geographic impact of Li Ye'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 Li Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ye more than expected).
Fields of papers citing papers by Li Ye
This network shows the impact of papers produced by Li Ye. 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 Li Ye. The network helps show where Li Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Ye, 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 32 | |
| 11 | 2021 | 57 | |
| 12 | 2021 | 32 | |
| 13 | 2020 | 43 | |
| 14 | 2019 | 55 | |
| 15 | 2019 | 13 | |
| 16 | Modeling and Verifying Services of Internet of Things Based on Hybrid System Methodology | 2013 | 2 |
| 17 | Effects of Different Rootstocks on Growth, Yield and Quality of Greenhouse Watermelon | 2013 | 1 |
| 18 | 2013 | 8 | |
| 19 | 2013 | 12 | |
| 20 | Biological characteristics of ginseng Botrytis cinerea Pers. | 2010 | 1 |
About Li Ye
Li Ye is a scholar working on Biological Psychiatry, Toxicology, Immunology, Applied Microbiology and Biotechnology and Immunology and Allergy, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (6 papers), Fungal Biology and Applications (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Autophagy in Disease and Therapy (4 papers), Polysaccharides and Plant Cell Walls (4 papers), Ginseng Biological Effects and Applications (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Microbiology (91 citations), Statistical and Nonlinear Physics (118 citations), Pharmacology (83 citations), Molecular Biology (624 citations) and Biotechnology (63 citations). Li Ye has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Kudelaidi Kuerban, Meiqing Feng, Jiayang Liu, Mengxue Dong, Chaofeng Sha, Yanchun Zhang, Xin Huang, Lina Wu, Yuan Tian and Di Xiao. Their work appears in journals such as Applied Microbiology and Biotechnology, Frontiers in Immunology, Molecules, Bioscience Reports and Biochemical and Biophysical Research 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.