Yuhu Shi
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Ecology
- Plant Science
- Co-authors
- Zhenjiang LiPingkai OuyangWan Hong-guiJun MaoZhidong ZhangZhiheng LiuMichael GoodfellowLixin Zhang
- Topics
- Genomics and Phylogenetic Studies (9 papers)Microbial Community Ecology and Physiology (3 papers)Chemical Synthesis and Reactions (3 papers)
- Journals
- Green ChemistryNeural NetworksINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuhu Shi
21 papers receiving 555 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 303
- Organic Chemistry 165
- Computational Theory and Mathematics 106
- Ecology 75
- Plant Science 60
Countries citing papers authored by Yuhu Shi
This map shows the geographic impact of Yuhu Shi'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 Yuhu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhu Shi more than expected).
Fields of papers citing papers by Yuhu Shi
This network shows the impact of papers produced by Yuhu Shi. 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 Yuhu Shi. The network helps show where Yuhu Shi may publish in the future.
Co-authorship network of co-authors of Yuhu Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhu Shi. A scholar is included among the top collaborators of Yuhu Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuhu Shi. Yuhu Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | Simulation on Chip Deformation and Cutting Force Distribution Laws of Cutting Tooth for Staggered Teeth BTA Drill | 1 |
| 6 | 20 | |
| 7 | Gene Cloning of Deinococcus radiodurans pprM and Its Function Prediction | 1 |
| 8 | 41 | |
| 9 | 41 | |
| 10 | Isolation and identification of a novel radio-resistant strain | 1 |
| 11 | 19 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 36 | |
| 16 | 14 | |
| 17 | 19 | |
| 18 | 9 | |
| 19 | 31 | |
| 20 | 256 |
About Yuhu Shi
Yuhu Shi is a scholar working on Microbiology, Biotechnology and Physical and Theoretical Chemistry, having authored 23 papers that have together received 571 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Microbial Community Ecology and Physiology (3 papers) and Chemical Synthesis and Reactions (3 papers). The work is most often cited by research in Microbiology (6 citations), Computational Theory and Mathematics (106 citations) and Organic Chemistry (165 citations). Yuhu Shi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhenjiang Li, Pingkai Ouyang, Wan Hong-gui, Jun Mao, Pingkai Ouyang, Zhidong Zhang, Zhiheng Liu, Michael Goodfellow, Lixin Zhang and Wei Wang. Their work appears in journals such as Green Chemistry, Neural Networks and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.
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.