Yilu Su
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
-
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
Papers in
- Ecology 4
- Coral and Marine Ecosystems Studies 3
-
- Microbial Metabolic Engineering and Bioproduction 2
- Bioinformatics and Genomic Networks 2
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- Zhi Zhou (5 shared papers)David S. Wishart (2 shared papers)Yongjie Liang (2 shared papers)Craig Knox (2 shared papers)Allison Pon (2 shared papers)Michael Wilson (2 shared papers)Adam Maciejewski (2 shared papers)Timothy Jewison (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Molecular Biology Reports (1 paper)Journal of Phycology (1 paper)Chemosphere (1 paper)Fish & Shellfish Immunology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yilu Su
7 papers receiving 463 citations
Peers
Comparison fields: 5 of 85
- Pollution 89
- Molecular Biology 238
- Industrial and Manufacturing Engineering 24
- Computational Theory and Mathematics 42
- Ocean Engineering 35
Countries citing papers authored by Yilu Su
This map shows the geographic impact of Yilu Su'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 Yilu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yilu Su more than expected).
Fields of papers citing papers by Yilu Su
This network shows the impact of papers produced by Yilu Su. 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 Yilu Su. The network helps show where Yilu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yilu Su, 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 | 2013 | 316 | |
| 2 | 2019 | 92 | |
| 3 | 2015 | 19 | |
| 4 | 2018 | 19 | |
| 5 | 2021 | 10 | |
| 6 | 2018 | 9 | |
| 7 | 2022 | 4 |
About Yilu Su
Yilu Su is a scholar working on Ecology, Molecular Biology, Pollution, Ocean Engineering and Immunology, having authored 7 papers that have together received 469 indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (3 papers), Marine Biology and Environmental Chemistry (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Microplastics and Plastic Pollution (2 papers), Bioinformatics and Genomic Networks (2 papers), Aquaculture disease management and microbiota (2 papers), Aquaculture Nutrition and Growth (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Pollution (89 citations), Molecular Biology (238 citations), Industrial and Manufacturing Engineering (24 citations), Computational Theory and Mathematics (42 citations) and Ocean Engineering (35 citations). Yilu Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhi Zhou, David S. Wishart, Yongjie Liang, Craig Knox, Allison Pon, Michael Wilson, Adam Maciejewski, Timothy Jewison, Jenna Poelzer and Yifeng Liu. Their work appears in journals such as Nucleic Acids Research, Molecular Biology Reports, Journal of Phycology, Chemosphere and Fish & Shellfish Immunology.
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.