Hangxia Jin
Impact in
- Plant Science top 10%
- Plant nutrient uptake and metabolism
- Legume Nitrogen Fixing Symbiosis
- Plant Stress Responses and Tolerance
- Soybean genetics and cultivation
- Plant Molecular Biology Research
- Plant Micronutrient Interactions and Effects
Papers in
-
- Soybean genetics and cultivation 8
- Legume Nitrogen Fixing Symbiosis 5
- GABA and Rice Research 4
- Nematode management and characterization studies 4
- Plant Stress Responses and Tolerance 3
- Phytase and its Applications 3
-
- Plant Gene Expression Analysis 3
- Co-authors
- Deyue Yu (5 shared papers)Haina Song (2 shared papers)Hao Cheng (3 shared papers)Qinghua Yang (7 shared papers)Guizhen Kan (1 shared paper)Dan Zhang (1 shared paper)Hao Cheng (1 shared paper)Hui Wang (1 shared paper)
- Journals
- Plants (4 papers)Frontiers in Plant Science (2 papers)Plant Molecular Biology Reporter (2 papers)International Journal of Molecular Sciences (2 papers)PLoS Genetics (1 paper)
- Partner nations
- China
In The Last Decade
Hangxia Jin
20 papers receiving 495 citations
Peers
Comparison fields: 5 of 68
- Plant Science 337
- Biological Psychiatry 10
- Pathology and Forensic Medicine 44
- Neurology 17
- Molecular Biology 140
Countries citing papers authored by Hangxia Jin
This map shows the geographic impact of Hangxia Jin'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 Hangxia Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangxia Jin more than expected).
Fields of papers citing papers by Hangxia Jin
This network shows the impact of papers produced by Hangxia Jin. 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 Hangxia Jin. The network helps show where Hangxia Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hangxia Jin, 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 | 144 | |
| 2 | 2012 | 131 | |
| 3 | 2012 | 60 | |
| 4 | 2016 | 57 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2019 | 10 | |
| 8 | 2013 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 1 |
About Hangxia Jin
Hangxia Jin is a scholar working on Plant Science, Molecular Biology, Pathology and Forensic Medicine, Rheumatology and Cell Biology, having authored 20 papers that have together received 500 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (8 papers), Legume Nitrogen Fixing Symbiosis (5 papers), GABA and Rice Research (4 papers), Nematode management and characterization studies (4 papers), Plant Gene Expression Analysis (3 papers), Plant Stress Responses and Tolerance (3 papers), Phytase and its Applications (3 papers) and Phytoestrogen effects and research (3 papers). The work is most often cited by research in Plant Science (337 citations), Biological Psychiatry (10 citations), Pathology and Forensic Medicine (44 citations), Neurology (17 citations) and Molecular Biology (140 citations). Hangxia Jin has collaborated with scholars based in China. Frequent co-authors include Deyue Yu, Haina Song, Hao Cheng, Qinghua Yang, Guizhen Kan, Dan Zhang, Hao Cheng, Hui Wang, Derong Hao and Yisong Qian. Their work appears in journals such as Plants, Frontiers in Plant Science, Plant Molecular Biology Reporter, International Journal of Molecular Sciences and PLoS Genetics.
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.