Hua Mo
Impact in
- Plant Science top 2%
- Plant Virus Research Studies
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
- Genetics and Plant Breeding
Papers in
-
- Genetics and Plant Breeding 4
- Plant nutrient uptake and metabolism 3
- Plant Molecular Biology Research 3
- Genetically Modified Organisms Research 2
- GABA and Rice Research 2
- Plant responses to water stress 2
- Co-authors
- Jeffrey E. Habben (8 shared papers)Jinrui Shi (2 shared papers)H.R. Lafïtte (3 shared papers)Meizhu Yang (1 shared paper)Hongyu Wang (1 shared paper)Huirong Gao (1 shared paper)Jeffrey R. Schussler (4 shared papers)Jason DeBruin (2 shared papers)
- Journals
- Plant Biotechnology Journal (3 papers)Crop Science (3 papers)Plant Molecular Biology (2 papers)Agronomy (1 paper)Field Crops Research (1 paper)
- Partner nations
- United StatesAustraliaChile
In The Last Decade
Hua Mo
12 papers receiving 1.3k citations
Hua Mo's Hit Papers
Peers
Comparison fields: 5 of 53
- Business and International Management 77
- Plant Science 1.1k
- Agronomy and Crop Science 177
- Aging 27
- Biotechnology 131
Countries citing papers authored by Hua Mo
This map shows the geographic impact of Hua Mo'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 Hua Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Mo more than expected).
Fields of papers citing papers by Hua Mo
This network shows the impact of papers produced by Hua Mo. 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 Hua Mo. The network helps show where Hua Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Mo, 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 | 2016 | 793 | |
| 2 | 2014 | 186 | |
| 3 | 2018 | 105 | |
| 4 | 2017 | 84 | |
| 5 | 2019 | 68 | |
| 6 | 2019 | 64 | |
| 7 | 2018 | 33 | |
| 8 | 2022 | 6 | |
| 9 | Knockouts of Drought Sensitive Genes Improve Rice Grain Yield under both Drought and Well-Watered Field Conditions | 2020 | 4 |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 |
About Hua Mo
Hua Mo is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Genetics and Biotechnology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (4 papers), Crop Yield and Soil Fertility (3 papers), Plant nutrient uptake and metabolism (3 papers), Plant Molecular Biology Research (3 papers), Genetically Modified Organisms Research (2 papers), GABA and Rice Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Plant responses to water stress (2 papers). The work is most often cited by research in Business and International Management (77 citations), Plant Science (1.1k citations), Agronomy and Crop Science (177 citations), Aging (27 citations) and Biotechnology (131 citations). Hua Mo has collaborated with scholars based in United States, Australia and Chile. Frequent co-authors include Jeffrey E. Habben, Jinrui Shi, H.R. Lafïtte, Meizhu Yang, Hongyu Wang, Huirong Gao, Jeffrey R. Schussler, Jason DeBruin, Mark Cooper and R. Lafitte. Their work appears in journals such as Plant Biotechnology Journal, Crop Science, Plant Molecular Biology, Agronomy and Field Crops Research.
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.