Jine Li
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Glycosylation and Glycoproteins Research 7
- Biochemical and Molecular Research 4
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- Pharmacology 11
- Microbial Natural Products and Biosynthesis 11
- Co-authors
- Jian Liu (11 shared papers)Guowei Su (6 shared papers)Katelyn Arnold (6 shared papers)Rafał Pawliński (4 shared papers)Yihua Chen (7 shared papers)Nigel S. Key (2 shared papers)Huarong Tan (7 shared papers)Wenxiong Zhang (3 shared papers)
- Journals
- Science China Life Sciences (2 papers)ACS Chemical Biology (2 papers)Communications Biology (2 papers)Microbial Cell Factories (2 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jine Li
46 papers receiving 625 citations
Peers
Comparison fields: 5 of 104
- Cell Biology 136
- Pharmacology 98
- Biotechnology 45
- Molecular Biology 326
- Organic Chemistry 111
Countries citing papers authored by Jine Li
This map shows the geographic impact of Jine 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 Jine Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jine Li more than expected).
Fields of papers citing papers by Jine Li
This network shows the impact of papers produced by Jine 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 Jine Li. The network helps show where Jine Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jine 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2020 | 60 | |
| 3 | 2018 | 39 | |
| 4 | 2019 | 30 | |
| 5 | 2015 | 28 | |
| 6 | 2016 | 27 | |
| 7 | 2020 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2009 | 23 | |
| 11 | 2023 | 21 | |
| 12 | 2021 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2021 | 11 |
About Jine Li
Jine Li is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Cell Biology and Biotechnology, having authored 52 papers that have together received 626 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (11 papers), Carbohydrate Chemistry and Synthesis (9 papers), Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (7 papers), Biochemical and Molecular Research (4 papers), Interconnection Networks and Systems (4 papers), Genomics and Phylogenetic Studies (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cell Biology (136 citations), Pharmacology (98 citations), Biotechnology (45 citations), Molecular Biology (326 citations) and Organic Chemistry (111 citations). Jine Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Liu, Guowei Su, Katelyn Arnold, Rafał Pawliński, Yihua Chen, Nigel S. Key, Huarong Tan, Wenxiong Zhang, Fengming Yi and Xiude Fan. Their work appears in journals such as Science China Life Sciences, ACS Chemical Biology, Communications Biology, Microbial Cell Factories and Cardiovascular Diabetology.
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.