Hao Bi
Impact in
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant responses to water stress
- Plant nutrient uptake and metabolism
-
- Plant Gene Expression Analysis
- Genomics and Phylogenetic Studies
- Photosynthetic Processes and Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 10
- Plant and Fungal Species Descriptions 4
- Plant Gene Expression Analysis 2
- Genetics 11
- Genetic diversity and population structure 9
- Co-authors
- Jianquan Liu (12 shared papers)Yuanzhong Jiang (6 shared papers)Shaofei Tong (4 shared papers)Hu Tang (4 shared papers)Shangling Lou (4 shared papers)Ningning Chen (4 shared papers)Huanhuan Liu (4 shared papers)Bao Liu (4 shared papers)
- Journals
- New Phytologist (2 papers)Scientific Reports (1 paper)Heredity (1 paper)Horticulture Research (1 paper)Molecular Plant (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hao Bi
25 papers receiving 473 citations
Peers
Comparison fields: 5 of 63
- Plant Science 310
- Molecular Biology 279
- Ecology, Evolution, Behavior and Systematics 67
- Genetics 95
- Biochemistry 20
Countries citing papers authored by Hao Bi
This map shows the geographic impact of Hao Bi'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 Hao Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Bi more than expected).
Fields of papers citing papers by Hao Bi
This network shows the impact of papers produced by Hao Bi. 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 Hao Bi. The network helps show where Hao Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Bi, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 110 | |
| 2 | 2020 | 86 | |
| 3 | 2020 | 64 | |
| 4 | 2021 | 50 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 31 | |
| 7 | 2016 | 18 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 9 | |
| 10 | 2016 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 2011 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2025 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2022 | 2 |
About Hao Bi
Hao Bi is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 476 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genetic diversity and population structure (9 papers), Plant Molecular Biology Research (4 papers), Plant and Fungal Species Descriptions (4 papers), Plant Ecology and Taxonomy Studies (4 papers), Chromosomal and Genetic Variations (3 papers), Plant Pathogens and Fungal Diseases (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Plant Science (310 citations), Molecular Biology (279 citations), Ecology, Evolution, Behavior and Systematics (67 citations), Genetics (95 citations) and Biochemistry (20 citations). Hao Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianquan Liu, Yuanzhong Jiang, Shaofei Tong, Hu Tang, Shangling Lou, Ningning Chen, Huanhuan Liu, Bao Liu, Yan Song and Tao Ma. Their work appears in journals such as New Phytologist, Scientific Reports, Heredity, Horticulture Research and Molecular Plant.
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.