Hui Guo
Impact in
- Plant Science top 0.2%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Horticulture top 1%
Papers in
-
- Plant Molecular Biology Research 9
- Plant Virus Research Studies 8
- Research in Cotton Cultivation 8
-
- Genomics and Phylogenetic Studies 10
- Co-authors
- Xu Tan (4 shared papers)Haibao Tang (3 shared papers)Jeremy D. DeBarry (1 shared paper)Jun Li (1 shared paper)Barry S. Marler (1 shared paper)Jin Huang (1 shared paper)Yupeng Wang (1 shared paper)Taeyoung Lee (1 shared paper)
- Journals
- Fish & Shellfish Immunology (8 papers)BMC Genomics (5 papers)PLANT PHYSIOLOGY (4 papers)Frontiers in Plant Science (4 papers)Aquaculture Reports (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Hui Guo
74 papers receiving 6.9k citations
Hui Guo's Hit Papers
Peers
Comparison fields: 5 of 116
- Plant Science 4.3k
- Horticulture 92
- Molecular Biology 4.0k
- Aquatic Science 322
- Genetics 1.0k
Countries citing papers authored by Hui Guo
This map shows the geographic impact of Hui Guo'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 Hui Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Guo more than expected).
Fields of papers citing papers by Hui Guo
This network shows the impact of papers produced by Hui Guo. 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 Hui Guo. The network helps show where Hui Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Guo, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity Hit paper breakdown → | 2012 | 4776 |
| 2 | 2014 | 338 | |
| 3 | 1993 | 143 | |
| 4 | 2015 | 137 | |
| 5 | 2015 | 104 | |
| 6 | 2013 | 76 | |
| 7 | 2006 | 74 | |
| 8 | 2014 | 65 | |
| 9 | 2017 | 61 | |
| 10 | 2011 | 59 | |
| 11 | 2009 | 59 | |
| 12 | 2012 | 52 | |
| 13 | 2013 | 51 | |
| 14 | 2016 | 51 | |
| 15 | 1993 | 51 | |
| 16 | 2014 | 47 | |
| 17 | 2005 | 45 | |
| 18 | 2015 | 39 | |
| 19 | 1982 | 38 | |
| 20 | 2016 | 37 |
About Hui Guo
Hui Guo is a scholar working on Plant Science, Molecular Biology, Aquatic Science, Immunology and Genetics, having authored 80 papers that have together received 7.0k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (19 papers), Aquaculture disease management and microbiota (16 papers), Invertebrate Immune Response Mechanisms (12 papers), Genomics and Phylogenetic Studies (10 papers), Plant Molecular Biology Research (9 papers), Environmental Toxicology and Ecotoxicology (8 papers), Plant Virus Research Studies (8 papers) and Research in Cotton Cultivation (8 papers). The work is most often cited by research in Plant Science (4.3k citations), Horticulture (92 citations), Molecular Biology (4.0k citations), Aquatic Science (322 citations) and Genetics (1.0k citations). Hui Guo has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xu Tan, Haibao Tang, Jeremy D. DeBarry, Jun Li, Barry S. Marler, Jin Huang, Yupeng Wang, Taeyoung Lee, Xuewen Wang and Jessica C. Kissinger. Their work appears in journals such as Fish & Shellfish Immunology, BMC Genomics, PLANT PHYSIOLOGY, Frontiers in Plant Science and Aquaculture 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.