Li Ye
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
-
- Complex Network Analysis Techniques
Papers in
-
- Genomics, phytochemicals, and oxidative stress 4
- Natural product bioactivities and synthesis 3
- Ginseng Biological Effects and Applications 3
-
- Polysaccharides and Plant Cell Walls 4
- Co-authors
- Kudelaidi Kuerban (12 shared papers)Meiqing Feng (12 shared papers)Jiayang Liu (7 shared papers)Mengxue Dong (7 shared papers)Yanchun Zhang (1 shared paper)Xin Huang (1 shared paper)Chaofeng Sha (1 shared paper)Xiaofeng Jin (1 shared paper)
- Journals
- Applied Microbiology and Biotechnology (5 papers)International Journal of Biological Macromolecules (2 papers)Frontiers in Immunology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Li Ye
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Microbiology 89
- Statistical and Nonlinear Physics 119
- Molecular Biology 605
- Pharmacology 73
- Biotechnology 61
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-authors
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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 209 | |
| 2 | 2018 | 144 | |
| 3 | 2018 | 93 | |
| 4 | 2012 | 90 | |
| 5 | 2021 | 64 | |
| 6 | 2010 | 64 | |
| 7 | 2019 | 58 | |
| 8 | 2001 | 54 | |
| 9 | 2020 | 46 | |
| 10 | 2016 | 40 | |
| 11 | 2013 | 38 | |
| 12 | 2021 | 36 | |
| 13 | 2021 | 34 | |
| 14 | 2011 | 30 | |
| 15 | 2016 | 29 | |
| 16 | 2013 | 26 | |
| 17 | 2022 | 22 | |
| 18 | 2021 | 19 | |
| 19 | 2010 | 19 | |
| 20 | 2021 | 19 |
About Li Ye
Li Ye is a scholar working on Molecular Biology, Plant Science, Oncology, Immunology and Pharmacology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Fungal Biology and Applications (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Polysaccharides and Plant Cell Walls (4 papers), Natural product bioactivities and synthesis (3 papers), Ginseng Biological Effects and Applications (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Microbiology (89 citations), Statistical and Nonlinear Physics (119 citations), Molecular Biology (605 citations), Pharmacology (73 citations) and Biotechnology (61 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, Yanchun Zhang, Xin Huang, Chaofeng Sha, Xiaofeng Jin, Hui Zhang and Ruihong Ye. Their work appears in journals such as Applied Microbiology and Biotechnology, International Journal of Biological Macromolecules, Frontiers in Immunology, Biochemical and Biophysical Research Communications and Molecules.
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.