Haining Wu
Impact in
- Agronomy and Crop Science top 5%
- Agronomic Practices and Intercropping Systems
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- Soil Carbon and Nitrogen Dynamics
Papers in
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- Circular RNAs in diseases 4
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- Peanut Plant Research Studies 4
- Co-authors
- Ronghua Tang (7 shared papers)Zhipeng Huang (8 shared papers)Faqian Xiong (8 shared papers)Liangqiong He (8 shared papers)Xiumei Tang (6 shared papers)Ruichun Zhong (7 shared papers)Zhuqiang Han (6 shared papers)Jing Jiang (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)ChemCatChem (1 paper)Journal of Materials Research and Technology (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haining Wu
45 papers receiving 648 citations
Peers
Comparison fields: 5 of 117
- Agronomy and Crop Science 104
- Soil Science 51
- Cancer Research 67
- Plant Science 164
- Developmental Neuroscience 13
Countries citing papers authored by Haining Wu
This map shows the geographic impact of Haining Wu'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 Haining Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Wu more than expected).
Fields of papers citing papers by Haining Wu
This network shows the impact of papers produced by Haining Wu. 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 Haining Wu. The network helps show where Haining Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining Wu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2020 | 74 | |
| 3 | 2020 | 41 | |
| 4 | 2021 | 41 | |
| 5 | 2021 | 31 | |
| 6 | 2022 | 26 | |
| 7 | 2023 | 26 | |
| 8 | 2017 | 26 | |
| 9 | 2010 | 26 | |
| 10 | 2019 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2023 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2023 | 11 |
About Haining Wu
Haining Wu is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Agronomy and Crop Science and Biophysics, having authored 46 papers that have together received 654 indexed citations. Recurring topics across this work include Agronomic Practices and Intercropping Systems (5 papers), Advanced Photocatalysis Techniques (4 papers), Peanut Plant Research Studies (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Agronomy and Crop Science (104 citations), Soil Science (51 citations), Cancer Research (67 citations), Plant Science (164 citations) and Developmental Neuroscience (13 citations). Haining Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ronghua Tang, Zhipeng Huang, Faqian Xiong, Liangqiong He, Xiumei Tang, Ruichun Zhong, Zhuqiang Han, Jing Jiang, Hua Han and Xiu‐Li Cao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, ChemCatChem, Journal of Materials Research and Technology and BMJ Open.
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.