Hualiang Xiao
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 6
- Oncology top 2%
- Lung Cancer Research Studies 9
- Cancer Cells and Metastasis 6
- Genetics top 2%
- Immunology top 5%
- interferon and immune responses 5
- Molecular Biology top 5%
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- Lung Cancer Treatments and Mutations 11
- Lung Cancer Diagnosis and Treatment 6
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- Lymphoma Diagnosis and Treatment 6
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- Radiomics and Machine Learning in Medical Imaging 5
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hualiang Xiao
76 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 993
- Oncology 1.1k
- Genetics 378
- Immunology 554
- Molecular Biology 1.8k
Countries citing papers authored by Hualiang Xiao
This map shows the geographic impact of Hualiang Xiao'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 Hualiang Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hualiang Xiao more than expected).
Fields of papers citing papers by Hualiang Xiao
This network shows the impact of papers produced by Hualiang Xiao. 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 Hualiang Xiao. The network helps show where Hualiang Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hualiang Xiao, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 21 | |
| 7 | The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translationbreakdown → | 2020 | 530 |
| 8 | 2020 | 9 | |
| 9 | ADAR1 may be involved in the proliferation of acute myeloid leukemia cells via regulation of the Wnt pathway | 2019 | 1 |
| 10 | 2015 | 49 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 5 | |
| 13 | 2015 | 33 | |
| 14 | 2014 | 204 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 87 | |
| 17 | 2011 | 20 | |
| 18 | 2010 | 44 | |
| 19 | 2009 | 45 | |
| 20 | 2007 | 100 |
About Hualiang Xiao
Hualiang Xiao is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 77 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (11 papers), Lung Cancer Research Studies (9 papers), Cancer Cells and Metastasis (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Lymphoma Diagnosis and Treatment (6 papers), interferon and immune responses (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Cancer Research (993 citations), Oncology (1.1k citations) and Genetics (378 citations). Hualiang Xiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiu‐Wu Bian, You‐Hong Cui, Shi‐Cang Yu, Yi‐Fang Ping, Yi Liang, Xian-Zong Ye, Senlin Xu, Cheng Qian, Qingya Luo and Chunming Cheng. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.