Ye Li
Impact in
- Endocrinology top 5%
- Biotechnology top 2%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 31
- Viral Infectious Diseases and Gene Expression in Insects 18
- Enzyme Catalysis and Immobilization 10
- RNA and protein synthesis mechanisms 9
- Plant biochemistry and biosynthesis 8
- Genetics 29
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Xiaoyuan Wang (31 shared papers)Jianli Wang (10 shared papers)Peter G. Vekilov (2 shared papers)Vassiliy Lubchenko (2 shared papers)Xiaoqing Hu (8 shared papers)Patrick C. Cirino (2 shared papers)Ge Ren (4 shared papers)Zhou Wang (3 shared papers)
- Journals
- Applied Microbiology and Biotechnology (6 papers)ACS Synthetic Biology (5 papers)Chinese Physics Letters (5 papers)Journal of Applied Microbiology (4 papers)Biotechnology and Applied Biochemistry (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ye Li
116 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 139
- Endocrinology 150
- Biotechnology 221
- Molecular Biology 1.3k
- Molecular Medicine 81
- Biochemistry 98
Countries citing papers authored by Ye Li
This map shows the geographic impact of Ye Li'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 Ye Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Li more than expected).
Fields of papers citing papers by Ye Li
This network shows the impact of papers produced by Ye Li. 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 Ye Li. The network helps show where Ye Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Li, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 102 | |
| 2 | 2011 | 96 | |
| 3 | 2015 | 89 | |
| 4 | 2018 | 80 | |
| 5 | 2014 | 75 | |
| 6 | 2016 | 65 | |
| 7 | 2013 | 61 | |
| 8 | 2012 | 61 | |
| 9 | 2020 | 60 | |
| 10 | 2011 | 48 | |
| 11 | 2021 | 47 | |
| 12 | 2018 | 47 | |
| 13 | 2015 | 43 | |
| 14 | 2013 | 42 | |
| 15 | 2021 | 42 | |
| 16 | 2021 | 40 | |
| 17 | 2022 | 40 | |
| 18 | 2016 | 39 | |
| 19 | 2018 | 38 | |
| 20 | 2010 | 36 |
About Ye Li
Ye Li is a scholar working on Molecular Biology, Genetics, Biotechnology, Biomedical Engineering and Pharmacology, having authored 126 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (31 papers), Viral Infectious Diseases and Gene Expression in Insects (18 papers), Bacterial Genetics and Biotechnology (16 papers), Enzyme Catalysis and Immobilization (10 papers), RNA and protein synthesis mechanisms (9 papers), Plant biochemistry and biosynthesis (8 papers), Biofuel production and bioconversion (7 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Endocrinology (150 citations), Biotechnology (221 citations), Molecular Biology (1.3k citations), Molecular Medicine (81 citations) and Biochemistry (98 citations). Ye Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoyuan Wang, Jianli Wang, Peter G. Vekilov, Vassiliy Lubchenko, Xiaoqing Hu, Patrick C. Cirino, Ge Ren, Zhou Wang, Wenjian Ma and Zhonghu Bai. Their work appears in journals such as Applied Microbiology and Biotechnology, ACS Synthetic Biology, Chinese Physics Letters, Journal of Applied Microbiology and Biotechnology and Applied Biochemistry.
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.