Haijun Yang
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
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- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- Plant and Fungal Species Descriptions
Papers in
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- Plant and Fungal Species Descriptions 7
- Plant Gene Expression Analysis 4
- Plant Reproductive Biology 2
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- Plant and animal studies 6
- Plant Diversity and Evolution 4
- Co-authors
- Lingyun Zhang (3 shared papers)Dylan O’Neill Rothenberg (2 shared papers)Wenting Zhang (1 shared paper)Xin Mei (2 shared papers)Jian Lu (2 shared papers)Caibi Zhou (1 shared paper)Yuanyuan Xiao (2 shared papers)Dehui Li (2 shared papers)
- Journals
- Phytotaxa (5 papers)BMC Cancer (2 papers)International Journal of Molecular Sciences (2 papers)Molecules (2 papers)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Haijun Yang
23 papers receiving 333 citations
Peers
Comparison fields: 5 of 68
- Biochemistry 74
- Molecular Biology 222
- Cancer Research 44
- Pathology and Forensic Medicine 45
- Plant Science 86
Countries citing papers authored by Haijun Yang
This map shows the geographic impact of Haijun Yang'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 Haijun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Yang more than expected).
Fields of papers citing papers by Haijun Yang
This network shows the impact of papers produced by Haijun Yang. 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 Haijun Yang. The network helps show where Haijun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Yang, 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 | 62 | |
| 2 | 2019 | 56 | |
| 3 | 2019 | 32 | |
| 4 | 2014 | 26 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2018 | 19 | |
| 8 | 2011 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 2 |
About Haijun Yang
Haijun Yang is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Surgery and Pathology and Forensic Medicine, having authored 26 papers that have together received 337 indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (7 papers), Plant and animal studies (6 papers), Plant Gene Expression Analysis (4 papers), Plant Diversity and Evolution (4 papers), Tea Polyphenols and Effects (3 papers), Plant Molecular Biology Research (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Biochemistry (74 citations), Molecular Biology (222 citations), Cancer Research (44 citations), Pathology and Forensic Medicine (45 citations) and Plant Science (86 citations). Haijun Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lingyun Zhang, Dylan O’Neill Rothenberg, Wenting Zhang, Xin Mei, Jian Lu, Wenting Zhang, Caibi Zhou, Yuanyuan Xiao, Dehui Li and Han Xu. Their work appears in journals such as Phytotaxa, BMC Cancer, International Journal of Molecular Sciences, Molecules and Cell Death and Disease.
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.