Xiuhua Kang
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
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- Extracellular vesicles in disease 2
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
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- Bacteriophages and microbial interactions 2
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- Influenza Virus Research Studies 2
- Mycobacterium research and diagnosis 2
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- Antibiotic Resistance in Bacteria 2
- Co-authors
- Fei XuAbu AhmedGuoqing HuJiliang ZhouWei ZhangJing ZhouLin YangZhicheng Liu
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Infectious Disease Modelling (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiuhua Kang
23 papers receiving 378 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 174
- Molecular Biology 258
- Immunology 51
- Pulmonary and Respiratory Medicine 72
- Cell Biology 31
Countries citing papers authored by Xiuhua Kang
This map shows the geographic impact of Xiuhua Kang'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 Xiuhua Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuhua Kang more than expected).
Fields of papers citing papers by Xiuhua Kang
This network shows the impact of papers produced by Xiuhua Kang. 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 Xiuhua Kang. The network helps show where Xiuhua Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiuhua Kang, 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 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 51 | |
| 15 | 2021 | 8 | |
| 16 | Long noncoding RNA NEAT1 (nuclear paraspeckle assembly transcript 1) is critical for phenotypic switching of vascular smooth muscle cells | 2018 | 12 |
| 17 | 2018 | 7 | |
| 18 | 2018 | 108 | |
| 19 | 2017 | 3 | |
| 20 | 2016 | 1 |
About Xiuhua Kang
Xiuhua Kang is a scholar working on Molecular Medicine, Cancer Research and Endocrinology, having authored 23 papers that have together received 383 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Bacteriophages and microbial interactions (2 papers), Extracellular vesicles in disease (2 papers), Influenza Virus Research Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Antibiotic Resistance in Bacteria (2 papers), Mycobacterium research and diagnosis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (174 citations), Molecular Biology (258 citations) and Immunology (51 citations). Xiuhua Kang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fei Xu, Abu Ahmed, Guoqing Hu, Jiliang Zhou, Wei Zhang, Jing Zhou, Lin Yang, Wei Zhang, Zhicheng Liu and Fang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Infectious Disease Modelling, Journal of Molecular and Cellular Cardiology, Cell Death and Disease and Transgenic 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.