Qingfeng Ma
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Wei WangChengliang ZhuFang LiuHuan HanXinghui LiuGuosheng GaoYuchen XiaRui Liu
- Journals
- Scientific Reports (1 paper)International Journal of Medical Sciences (1 paper)Translational Stroke Research (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Current Neurovascular Research (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qingfeng Ma
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Infectious Diseases 664
- Neurology 411
- Critical Care and Intensive Care Medicine 37
- Biological Psychiatry 17
- Immunology 116
Countries citing papers authored by Qingfeng Ma
This map shows the geographic impact of Qingfeng Ma'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 Qingfeng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Ma more than expected).
Fields of papers citing papers by Qingfeng Ma
This network shows the impact of papers produced by Qingfeng Ma. 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 Qingfeng Ma. The network helps show where Qingfeng Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingfeng Ma, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 25 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors Hit paper breakdown → | 2020 | 830 |
| 12 | 2020 | 6 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 68 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 17 | |
| 19 | 2017 | 10 | |
| 20 | Effect of xuezhikang on serum inflammatory cytokines in patients with unstable angina pectoris. | 2008 | 0 |
About Qingfeng Ma
Qingfeng Ma is a scholar working on Neurology, Structural Biology, Epidemiology, Internal Medicine and Complementary and alternative medicine, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), RNA modifications and cancer (4 papers), COVID-19 Clinical Research Studies (3 papers), Hepatitis B Virus Studies (3 papers), RNA Research and Splicing (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (664 citations), Neurology (411 citations), Critical Care and Intensive Care Medicine (37 citations), Biological Psychiatry (17 citations) and Immunology (116 citations). Qingfeng Ma has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wei Wang, Chengliang Zhu, Fang Liu, Huan Han, Xinghui Liu, Guosheng Gao, Yuchen Xia, Rui Liu, Pingan Zhang and Yingan Jiang. Their work appears in journals such as Scientific Reports, International Journal of Medical Sciences, Translational Stroke Research, Clinical Chemistry and Laboratory Medicine (CCLM) and Current Neurovascular 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.