Xiaoming Cheng
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Hepatology top 2%
- Hepatitis C virus research
Papers in
- Epidemiology 26
- Hepatitis B Virus Studies 25
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Yuchen Xia (24 shared papers)Chengliang Zhu (7 shared papers)Huan Han (3 shared papers)Yingan Jiang (3 shared papers)Li Zhao (3 shared papers)Guosheng Gao (2 shared papers)Fang Liu (2 shared papers)Qingfeng Ma (1 shared paper)
- Journals
- Journal of Virology (4 papers)Antiviral Research (3 papers)PLoS Pathogens (3 papers)Cancer Gene Therapy (2 papers)Hepatology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoming Cheng
63 papers receiving 1.9k citations
Xiaoming Cheng's Hit Papers
Peers
Comparison fields: 5 of 122
- Infectious Diseases 748
- Hepatology 298
- Neurology 403
- Epidemiology 528
- Immunology 241
Countries citing papers authored by Xiaoming Cheng
This map shows the geographic impact of Xiaoming Cheng'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 Xiaoming Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Cheng more than expected).
Fields of papers citing papers by Xiaoming Cheng
This network shows the impact of papers produced by Xiaoming Cheng. 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 Xiaoming Cheng. The network helps show where Xiaoming Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors Hit paper breakdown → | 2020 | 830 |
| 2 | 2017 | 123 | |
| 3 | 2016 | 103 | |
| 4 | 2018 | 48 | |
| 5 | 2020 | 46 | |
| 6 | 2020 | 46 | |
| 7 | 2018 | 45 | |
| 8 | 2021 | 40 | |
| 9 | 2022 | 36 | |
| 10 | 2019 | 35 | |
| 11 | 2020 | 34 | |
| 12 | 2023 | 34 | |
| 13 | 2014 | 32 | |
| 14 | Role of succinylation modification in thyroid cancer and breast cancer. | 2021 | 29 |
| 15 | Identification of HLA-A*0201-restricted cytotoxic T lymphocyte epitope from TRAG-3 antigen. | 2003 | 28 |
| 16 | 2018 | 26 | |
| 17 | 2017 | 26 | |
| 18 | 2023 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2023 | 21 |
About Xiaoming Cheng
Xiaoming Cheng is a scholar working on Epidemiology, Molecular Biology, Hepatology, Cancer Research and Oncology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (25 papers), Hepatitis C virus research (12 papers), Breast Cancer Treatment Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Infectious Diseases (748 citations), Hepatology (298 citations), Neurology (403 citations), Epidemiology (528 citations) and Immunology (241 citations). Xiaoming Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuchen Xia, Chengliang Zhu, Huan Han, Yingan Jiang, Li Zhao, Guosheng Gao, Fang Liu, Qingfeng Ma, Pingan Zhang and Rui Liu. Their work appears in journals such as Journal of Virology, Antiviral Research, PLoS Pathogens, Cancer Gene Therapy and Hepatology.
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.