Xiaohua Su
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
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- Plant Gene Expression Analysis 13
- Photosynthetic Processes and Mechanisms 8
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- Plant Molecular Biology Research 17
- Plant Stress Responses and Tolerance 7
- Plant nutrient uptake and metabolism 4
- Co-authors
- Elsa R. Flores (10 shared papers)Deepavali Chakravarti (3 shared papers)Young Jin Gi (6 shared papers)Bingyu Zhang (19 shared papers)Min Soon Cho (4 shared papers)Yu-Li Lin (2 shared papers)Changjun Ding (19 shared papers)Qinjun Huang (16 shared papers)
- Journals
- BMC Genetics (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Cell stem cell (2 papers)Journal of Forestry Research (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Xiaohua Su
77 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 402
- Molecular Biology 1.6k
- Oncology 538
- Plant Science 571
- Hepatology 121
Countries citing papers authored by Xiaohua Su
This map shows the geographic impact of Xiaohua Su'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 Xiaohua Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Su more than expected).
Fields of papers citing papers by Xiaohua Su
This network shows the impact of papers produced by Xiaohua Su. 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 Xiaohua Su. The network helps show where Xiaohua Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohua Su, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 351 | |
| 2 | 2014 | 243 | |
| 3 | 2009 | 192 | |
| 4 | 2018 | 138 | |
| 5 | 2010 | 125 | |
| 6 | 2006 | 117 | |
| 7 | 2013 | 111 | |
| 8 | 2012 | 102 | |
| 9 | 2012 | 91 | |
| 10 | 2005 | 83 | |
| 11 | 2014 | 69 | |
| 12 | 2015 | 62 | |
| 13 | 2009 | 55 | |
| 14 | 2020 | 52 | |
| 15 | 2016 | 49 | |
| 16 | 2019 | 43 | |
| 17 | 2011 | 42 | |
| 18 | 2016 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2019 | 30 |
About Xiaohua Su
Xiaohua Su is a scholar working on Molecular Biology, Plant Science, Agronomy and Crop Science, Oncology and Genetics, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Bioenergy crop production and management (16 papers), Plant Gene Expression Analysis (13 papers), Photosynthetic Processes and Mechanisms (8 papers), Plant Stress Responses and Tolerance (7 papers), Cancer-related Molecular Pathways (6 papers), Entrepreneurship Studies and Influences (5 papers) and Plant nutrient uptake and metabolism (4 papers). The work is most often cited by research in Cancer Research (402 citations), Molecular Biology (1.6k citations), Oncology (538 citations), Plant Science (571 citations) and Hepatology (121 citations). Xiaohua Su has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Elsa R. Flores, Deepavali Chakravarti, Young Jin Gi, Bingyu Zhang, Min Soon Cho, Yu-Li Lin, Changjun Ding, Qinjun Huang, Yanguang Chu and Chad J. Creighton. Their work appears in journals such as BMC Genetics, PLoS ONE, Scientific Reports, Cell stem cell and Journal of Forestry Research.
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.