Yi‐Ling Du
Impact in
- Pharmacology top 1%
- Microbial Natural Products and Biosynthesis
- Biotechnology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 8
- Biochemical and Molecular Research 5
- Pharmacology 27
- Microbial Natural Products and Biosynthesis 27
- Alkaloids: synthesis and pharmacology 6
- Co-authors
- Katherine S. Ryan (20 shared papers)Haiyan He (6 shared papers)Yong‐Quan Li (9 shared papers)M.A. Higgins (4 shared papers)Lona M. Alkhalaf (3 shared papers)Xueling Shen (3 shared papers)Lian‐Hua Xu (1 shared paper)Yuan‐Yang Guo (4 shared papers)
- Journals
- Synthetic and Systems Biotechnology (5 papers)Journal of the American Chemical Society (5 papers)Nature Chemical Biology (4 papers)ACS Chemical Biology (3 papers)Nature Communications (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yi‐Ling Du
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Pharmacology 572
- Biotechnology 148
- Organic Chemistry 404
- Molecular Biology 869
- Pharmacology 96
Countries citing papers authored by Yi‐Ling Du
This map shows the geographic impact of Yi‐Ling Du'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 Yi‐Ling Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Ling Du more than expected).
Fields of papers citing papers by Yi‐Ling Du
This network shows the impact of papers produced by Yi‐Ling Du. 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 Yi‐Ling Du. The network helps show where Yi‐Ling Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Ling Du, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 129 | |
| 2 | 2018 | 103 | |
| 3 | 2021 | 89 | |
| 4 | 2022 | 77 | |
| 5 | 2019 | 77 | |
| 6 | 2009 | 63 | |
| 7 | 2019 | 58 | |
| 8 | 2019 | 58 | |
| 9 | 2011 | 54 | |
| 10 | 2014 | 48 | |
| 11 | 2015 | 48 | |
| 12 | 2011 | 47 | |
| 13 | 2021 | 44 | |
| 14 | 2021 | 43 | |
| 15 | 2018 | 39 | |
| 16 | 2016 | 38 | |
| 17 | 2009 | 36 | |
| 18 | 2021 | 35 | |
| 19 | 2013 | 27 | |
| 20 | 2020 | 25 |
About Yi‐Ling Du
Yi‐Ling Du is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Biotechnology and Pharmacology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (27 papers), Genomics and Phylogenetic Studies (8 papers), Marine Sponges and Natural Products (6 papers), Alkaloids: synthesis and pharmacology (6 papers), Enzyme Structure and Function (5 papers), Biochemical and Molecular Research (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Microbial Metabolism and Applications (3 papers). The work is most often cited by research in Pharmacology (572 citations), Biotechnology (148 citations), Organic Chemistry (404 citations), Molecular Biology (869 citations) and Pharmacology (96 citations). Yi‐Ling Du has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Katherine S. Ryan, Haiyan He, Yong‐Quan Li, M.A. Higgins, Lona M. Alkhalaf, Xueling Shen, Lian‐Hua Xu, Yuan‐Yang Guo, Haruka Niikura and Zhan Zhou. Their work appears in journals such as Synthetic and Systems Biotechnology, Journal of the American Chemical Society, Nature Chemical Biology, ACS Chemical Biology and Nature 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.