Min Yu
Impact in
- Endocrinology top 5%
- Aquatic Science top 2%
Papers in
-
- Genomics and Phylogenetic Studies 34
- Plant Gene Expression Analysis 10
- Identification and Quantification in Food 9
- Bacterial biofilms and quorum sensing 7
- Ecology 36
- Microbial Community Ecology and Physiology 29
- Bacteriophages and microbial interactions 9
- Co-authors
- Xiao‐Hua Zhang (46 shared papers)Peter J. Facchini (5 shared papers)Margaret Y. Gruber (9 shared papers)Yanfen Zheng (5 shared papers)Dwayne D. Hegedus (4 shared papers)Jiwen Liu (11 shared papers)Isobel A. P. Parkin (3 shared papers)Heyu Lin (5 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (14 papers)BMC Genomics (6 papers)Frontiers in Microbiology (6 papers)PLANT PHYSIOLOGY (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Min Yu
107 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 134
- Endocrinology 154
- Aquatic Science 190
- Biochemistry 131
- Plant Science 805
- Ecology 555
Countries citing papers authored by Min Yu
This map shows the geographic impact of Min Yu'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 Min Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Yu more than expected).
Fields of papers citing papers by Min Yu
This network shows the impact of papers produced by Min Yu. 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 Min Yu. The network helps show where Min Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Yu, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 261 | |
| 2 | 2019 | 137 | |
| 3 | 2017 | 120 | |
| 4 | 2023 | 117 | |
| 5 | 2011 | 115 | |
| 6 | 2015 | 105 | |
| 7 | 2003 | 96 | |
| 8 | 2016 | 91 | |
| 9 | 2018 | 70 | |
| 10 | 2013 | 65 | |
| 11 | 2018 | 60 | |
| 12 | 2016 | 54 | |
| 13 | 2017 | 54 | |
| 14 | 2017 | 53 | |
| 15 | 2011 | 48 | |
| 16 | 2017 | 46 | |
| 17 | 2002 | 46 | |
| 18 | 2019 | 45 | |
| 19 | 1999 | 45 | |
| 20 | 2016 | 45 |
About Min Yu
Min Yu is a scholar working on Molecular Biology, Ecology, Plant Science, Immunology and Pharmacology, having authored 113 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (34 papers), Microbial Community Ecology and Physiology (29 papers), Aquaculture disease management and microbiota (13 papers), Plant Gene Expression Analysis (10 papers), Bacteriophages and microbial interactions (9 papers), Identification and Quantification in Food (9 papers), Bacterial biofilms and quorum sensing (7 papers) and Methane Hydrates and Related Phenomena (7 papers). The work is most often cited by research in Endocrinology (154 citations), Aquatic Science (190 citations), Biochemistry (131 citations), Plant Science (805 citations) and Ecology (555 citations). Min Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiao‐Hua Zhang, Peter J. Facchini, Margaret Y. Gruber, Yanfen Zheng, Dwayne D. Hegedus, Jiwen Liu, Isobel A. P. Parkin, Heyu Lin, Doug Baldwin and Andrew Sharpe. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, BMC Genomics, Frontiers in Microbiology, PLANT PHYSIOLOGY and Scientific Reports.
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.