Xiaobei Chen
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- COVID-19 and healthcare impacts
Papers in
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Jiling Zhu (2 shared papers)Jinzhi Shi (3 shared papers)Fan Yang (2 shared papers)Shaobo Shi (2 shared papers)Kai Dai (2 shared papers)Fan Zhu (3 shared papers)Lijuan Liu (2 shared papers)Ping‐Kun Zhou (2 shared papers)
- Journals
- Journal of Medical Virology (2 papers)Antiviral Research (2 papers)Virus Research (1 paper)Clinical Cancer Research (1 paper)Organic Letters (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiaobei Chen
18 papers receiving 522 citations
Peers
Comparison fields: 5 of 83
- Infectious Diseases 239
- Oncology 168
- Neurology 79
- Cancer Research 49
- Immunology 60
Countries citing papers authored by Xiaobei Chen
This map shows the geographic impact of Xiaobei 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 Xiaobei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobei Chen more than expected).
Fields of papers citing papers by Xiaobei Chen
This network shows the impact of papers produced by Xiaobei 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 Xiaobei Chen. The network helps show where Xiaobei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobei 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 | 2020 | 149 | |
| 2 | 2020 | 132 | |
| 3 | 2019 | 53 | |
| 4 | 2021 | 41 | |
| 5 | 2013 | 33 | |
| 6 | 2013 | 25 | |
| 7 | 2010 | 22 | |
| 8 | 2020 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 6 | |
| 14 | 2016 | 4 | |
| 15 | [Anxiety and depression in patients with viral hepatitis]. | 2002 | 3 |
| 16 | 2025 | 2 | |
| 17 | 2007 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Xiaobei Chen
Xiaobei Chen is a scholar working on Infectious Diseases, Neurology, Epidemiology, Immunology and Molecular Biology, having authored 20 papers that have together received 531 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (2 papers), Hepatitis C virus research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), T-cell and B-cell Immunology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Infectious Diseases (239 citations), Oncology (168 citations), Neurology (79 citations), Cancer Research (49 citations) and Immunology (60 citations). Xiaobei Chen has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jiling Zhu, Jinzhi Shi, Fan Yang, Shaobo Shi, Kai Dai, Fan Zhu, Lijuan Liu, Ping‐Kun Zhou, Yan Zhou and Qiujin Yan. Their work appears in journals such as Journal of Medical Virology, Antiviral Research, Virus Research, Clinical Cancer Research and Organic Letters.
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.