Baixia Hao
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
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- CRISPR and Genetic Engineering 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Plant Gene Expression Analysis 1
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- Neuroscience and Neural Engineering 1
- Co-authors
- Jianbo Yue (9 shared papers)Yingying Lü (7 shared papers)Wenjing Guo (4 shared papers)King‐Ho Cheung (3 shared papers)Andrew L. Miller (4 shared papers)Sarah Webb (3 shared papers)Qian Wang (2 shared papers)Wutian Wu (2 shared papers)
- Journals
- Autophagy (2 papers)Experimental Cell Research (1 paper)Applied Microbiology and Biotechnology (1 paper)Communicative & Integrative Biology (1 paper)Stem Cells (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Baixia Hao
13 papers receiving 416 citations
Peers
Comparison fields: 5 of 79
- Physiology 89
- Sensory Systems 65
- Epidemiology 109
- Aging 6
- Cell Biology 48
Countries citing papers authored by Baixia Hao
This map shows the geographic impact of Baixia Hao'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 Baixia Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baixia Hao more than expected).
Fields of papers citing papers by Baixia Hao
This network shows the impact of papers produced by Baixia Hao. 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 Baixia Hao. The network helps show where Baixia Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Baixia Hao, 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 | 2014 | 97 | |
| 2 | 2016 | 86 | |
| 3 | 2018 | 46 | |
| 4 | 2012 | 41 | |
| 5 | 2016 | 35 | |
| 6 | 2014 | 27 | |
| 7 | 2013 | 26 | |
| 8 | 2015 | 17 | |
| 9 | 2018 | 14 | |
| 10 | 2013 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 6 |
About Baixia Hao
Baixia Hao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Sensory Systems and Pharmacology, having authored 13 papers that have together received 418 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (4 papers), Ion Channels and Receptors (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Neuroscience and Neural Engineering (1 paper), Postharvest Quality and Shelf Life Management (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Physiology (89 citations), Sensory Systems (65 citations), Epidemiology (109 citations), Aging (6 citations) and Cell Biology (48 citations). Baixia Hao has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Jianbo Yue, Yingying Lü, Wenjing Guo, King‐Ho Cheung, Andrew L. Miller, Sarah Webb, Qian Wang, Wutian Wu, Chang Li and Markus Huss. Their work appears in journals such as Autophagy, Experimental Cell Research, Applied Microbiology and Biotechnology, Communicative & Integrative Biology and Stem Cells.
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.