Weibing Shi
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Insect Science top 5%
- Insect symbiosis and bacterial influences
- Insect Utilization and Effects
- Insect and Pesticide Research
Papers in
-
- Insect symbiosis and bacterial influences 4
- Insect and Pesticide Research 3
- Entomopathogenic Microorganisms in Pest Control 2
- Insect behavior and control techniques 2
- Insect Utilization and Effects 2
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- Ruminant Nutrition and Digestive Physiology 3
- Co-authors
- Joshua S. YuanPriya SoniSiva GaneshEdward M. RubinYang LiGraeme T. AttwoodJanine KamkeJeff Froula
- Journals
- PLoS Genetics (2 papers)BMC Bioinformatics (2 papers)Insect Science (1 paper)Medicine (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Weibing Shi
18 papers receiving 555 citations
Peers
Comparison fields: 5 of 86
- Agronomy and Crop Science 195
- Insect Science 137
- Horticulture 4
- Biotechnology 33
- Molecular Biology 225
Countries citing papers authored by Weibing Shi
This map shows the geographic impact of Weibing 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 Weibing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibing Shi more than expected).
Fields of papers citing papers by Weibing Shi
This network shows the impact of papers produced by Weibing 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 Weibing Shi. The network helps show where Weibing Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weibing Shi, 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 | 2024 | 3 | |
| 2 | 2023 | 13 | |
| 3 | 2020 | 18 | |
| 4 | 2017 | 9 | |
| 5 | 2016 | 224 | |
| 6 | 2016 | 13 | |
| 7 | 2015 | 6 | |
| 8 | 2013 | 14 | |
| 9 | 2013 | 24 | |
| 10 | 2013 | 61 | |
| 11 | 2011 | 36 | |
| 12 | 2011 | 6 | |
| 13 | Calculate Porosity by Density Logging | 2010 | 3 |
| 14 | 2010 | 9 | |
| 15 | 2010 | 1 | |
| 16 | 2010 | 41 | |
| 17 | 2010 | 67 | |
| 18 | 2007 | 21 |
About Weibing Shi
Weibing Shi is a scholar working on Insect Science, Agronomy and Crop Science, Nephrology, Biochemistry and Small Animals, having authored 18 papers that have together received 569 indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (4 papers), Insect and Pesticide Research (3 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Biofuel production and bioconversion (2 papers), Entomopathogenic Microorganisms in Pest Control (2 papers), Insect behavior and control techniques (2 papers), Insect Utilization and Effects (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (195 citations), Insect Science (137 citations), Horticulture (4 citations), Biotechnology (33 citations) and Molecular Biology (225 citations). Weibing Shi has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Joshua S. Yuan, Priya Soni, Siva Ganesh, Edward M. Rubin, Yang Li, Graeme T. Attwood, Janine Kamke, Jeff Froula, M.H. Tavendale and Sandra Kittelmann. Their work appears in journals such as PLoS Genetics, BMC Bioinformatics, Insect Science, Medicine and Molecular & Cellular Proteomics.
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.