Xiaohua Chen
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 1
- Neurology top 5%
- Long-Term Effects of COVID-19 2
- Neurological Disease Mechanisms and Treatments 1
- Hematology top 10%
- Acute Myeloid Leukemia Research 1
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- Long-Term Effects of COVID-19 2
- Neurological Disease Mechanisms and Treatments 1
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- Dementia and Cognitive Impairment Research 2
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- Stroke Rehabilitation and Recovery 1
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- Neuroendocrine Tumor Research Advances 1
- Co-authors
- Dong MenYong FengYurou ChenBo YangJinya DingFeng LiQianchuan HuangYing Liu
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaohua Chen
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 605
- Neurology 367
- Hematology 86
- Neurology 57
- Biological Psychiatry 17
Countries citing papers authored by Xiaohua Chen
This map shows the geographic impact of Xiaohua Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Chen more than expected).
Fields of papers citing papers by Xiaohua Chen
This network shows the impact of papers produced by Xiaohua Chen. 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 Chen. The network helps show where Xiaohua Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohua Chen, 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 57 | |
| 6 | Detectable Serum Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load (RNAemia) Is Closely Correlated With Drastically Elevated Interleukin 6 Level in Critically Ill Patients With Coronavirus Disease 2019breakdown → | 2020 | 693 |
| 7 | 2020 | 0 | |
| 8 | 2015 | 5 | |
| 9 | 2012 | 40 | |
| 10 | 2011 | 41 | |
| 11 | 2010 | 103 | |
| 12 | [Effect of imatinib at different concentrations on rat C6 glioma cell apoptosis and cell cycle]. | 2010 | 3 |
| 13 | 2009 | 67 | |
| 14 | 2007 | 35 |
About Xiaohua Chen
Xiaohua Chen is a scholar working on Periodontics, Psychiatry and Mental health and Gastroenterology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Acute Myeloid Leukemia Research (1 paper), Stroke Rehabilitation and Recovery (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Infectious Diseases (605 citations), Neurology (367 citations) and Hematology (86 citations). Xiaohua Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dong Men, Yong Feng, Yurou Chen, Bo Yang, Jinya Ding, Feng Li, Qianchuan Huang, Ying Liu, Jie Xiong and Perminder S. Sachdev. Their work appears in journals such as Blood, Clinical Infectious Diseases and Scientific Reports.
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.