Ningshao Xia
Impact in
- Hepatology top 0.1%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Hepatitis C virus research
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
- Hepatology 173
- Hepatitis Viruses Studies and Epidemiology 126
- Hepatitis C virus research 63
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- Viral gastroenteritis research and epidemiology 139
- SARS-CoV-2 and COVID-19 Research 43
Ningshao Xia
549 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Hepatology 5.2k
- Infectious Diseases 5.4k
- Epidemiology 4.8k
- Small Animals 543
- Animal Science and Zoology 694
Countries citing papers authored by Ningshao Xia
This map shows the geographic impact of Ningshao Xia'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 Ningshao Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningshao Xia more than expected).
Fields of papers citing papers by Ningshao Xia
This network shows the impact of papers produced by Ningshao Xia. 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 Ningshao Xia. The network helps show where Ningshao Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ningshao Xia, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 40 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 55 | |
| 14 | 2020 | 47 | |
| 15 | A Differential Diagnosis Model For Diabetic Nephropathy And Non-Diabetic Renal Disease In Patients With Type 2 Diabetes Complicated With Chronic Kidney Disease | 2019 | 3 |
| 16 | Relationship between nonalcoholic fatty liver disease and bone mineral density in adolescents with obesity: a meta-analysis | 2019 | 0 |
| 17 | 2017 | 8 | |
| 18 | 2016 | 8 | |
| 19 | Structure of RSV Fusion Glycoprotein Trimer Bound to a Prefusion-Specific Neutralizing Antibody Hit paper breakdown → | 2013 | 617 |
| 20 | 2006 | 8 |
About Ningshao Xia
Ningshao Xia is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Animal Science and Zoology and Virology, having authored 576 papers that have together received 13.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (139 papers), Hepatitis B Virus Studies (126 papers), Hepatitis Viruses Studies and Epidemiology (126 papers), Hepatitis C virus research (63 papers), Viral Infections and Immunology Research (63 papers), Animal Virus Infections Studies (46 papers), SARS-CoV-2 and COVID-19 Research (43 papers) and Virus-based gene therapy research (43 papers). The work is most often cited by research in Hepatology (5.2k citations), Infectious Diseases (5.4k citations), Epidemiology (4.8k citations), Small Animals (543 citations) and Animal Science and Zoology (694 citations). Ningshao Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Zhang, Shengxiang Ge, Shaowei Li, Qinjian Zhao, Quan Yuan, Zizheng Zheng, Yixin Chen, Hai Yu, Ying Gu and Ting Wu. Their work appears in journals such as Vaccine, Emerging Microbes & Infections, Viruses, Human Vaccines & Immunotherapeutics and Antiviral 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.