Shengbo Han
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Extracellular vesicles in disease
- Cancer-related gene regulation
Papers in
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- RNA modifications and cancer 8
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Zili Zhou (8 shared papers)Xiaogang Shu (7 shared papers)Ning Zhao (5 shared papers)Jinhuang Chen (8 shared papers)Yan Shu (1 shared paper)Bin Chen (1 shared paper)Zhu Zeng (11 shared papers)Zhengyi Liu (2 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (4 papers)Plant Biotechnology Journal (3 papers)Theranostics (2 papers)International Journal of Biological Sciences (2 papers)Plant Disease (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shengbo Han
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 400
- Molecular Biology 676
- Infectious Diseases 160
- Neurology 116
- Oncology 206
Countries citing papers authored by Shengbo Han
This map shows the geographic impact of Shengbo Han'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 Shengbo Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengbo Han more than expected).
Fields of papers citing papers by Shengbo Han
This network shows the impact of papers produced by Shengbo Han. 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 Shengbo Han. The network helps show where Shengbo Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengbo Han, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 214 | |
| 2 | 2020 | 184 | |
| 3 | 2021 | 118 | |
| 4 | 2015 | 65 | |
| 5 | 2022 | 56 | |
| 6 | 2020 | 50 | |
| 7 | 2022 | 50 | |
| 8 | 2023 | 45 | |
| 9 | 2022 | 40 | |
| 10 | 2023 | 39 | |
| 11 | 2020 | 33 | |
| 12 | 2019 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2023 | 30 | |
| 15 | 2020 | 27 | |
| 16 | 2021 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2020 | 20 | |
| 19 | 2020 | 20 | |
| 20 | 2024 | 19 |
About Shengbo Han
Shengbo Han is a scholar working on Molecular Biology, Cancer Research, Plant Science, Oncology and Surgery, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers), MicroRNA in disease regulation (7 papers), Plant Molecular Biology Research (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant nutrient uptake and metabolism (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Mycotoxins in Agriculture and Food (3 papers). The work is most often cited by research in Cancer Research (400 citations), Molecular Biology (676 citations), Infectious Diseases (160 citations), Neurology (116 citations) and Oncology (206 citations). Shengbo Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zili Zhou, Xiaogang Shu, Ning Zhao, Jinhuang Chen, Yan Shu, Bin Chen, Zhu Zeng, Zhengyi Liu, Fan Wang and Wenzheng Yuan. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Plant Biotechnology Journal, Theranostics, International Journal of Biological Sciences and Plant 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.