Qingjun Ma
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Cell Function and Interaction
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Ubiquitin and proteasome pathways 2
- Surgery 8
- Co-authors
- Yanwen Jin (2 shared papers)Xuan Liu (1 shared paper)Ting Gao (1 shared paper)Wei Li (1 shared paper)Yong Hu (1 shared paper)Ping Li (1 shared paper)Yan Cui (1 shared paper)Yanfeng Zhong (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)World Journal of Gastroenterology (2 papers)World Journal of Clinical Oncology (1 paper)Journal of Virology (1 paper)Cellular and Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Qingjun Ma
40 papers receiving 832 citations
Peers
Comparison fields: 5 of 92
- Immunology 216
- Infectious Diseases 176
- Orthopedics and Sports Medicine 65
- Genetics 69
- Molecular Biology 312
Countries citing papers authored by Qingjun Ma
This map shows the geographic impact of Qingjun 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 Qingjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingjun Ma more than expected).
Fields of papers citing papers by Qingjun Ma
This network shows the impact of papers produced by Qingjun 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 Qingjun Ma. The network helps show where Qingjun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingjun 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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 232 | |
| 2 | 2000 | 108 | |
| 3 | 2008 | 70 | |
| 4 | 2006 | 51 | |
| 5 | 2016 | 44 | |
| 6 | 2008 | 40 | |
| 7 | 2015 | 32 | |
| 8 | 2009 | 28 | |
| 9 | 2004 | 26 | |
| 10 | 2009 | 25 | |
| 11 | 2008 | 23 | |
| 12 | 2006 | 22 | |
| 13 | 2005 | 22 | |
| 14 | 2008 | 18 | |
| 15 | 2010 | 17 | |
| 16 | 2016 | 13 | |
| 17 | 1995 | 11 | |
| 18 | 2009 | 11 | |
| 19 | 2009 | 10 | |
| 20 | 1996 | 10 |
About Qingjun Ma
Qingjun Ma is a scholar working on Molecular Biology, Surgery, Immunology, Epidemiology and Oncology, having authored 43 papers that have together received 862 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Vibrio bacteria research studies (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Bacteriophages and microbial interactions (3 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (216 citations), Infectious Diseases (176 citations), Orthopedics and Sports Medicine (65 citations), Genetics (69 citations) and Molecular Biology (312 citations). Qingjun Ma has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yanwen Jin, Xuan Liu, Ting Gao, Wei Li, Yong Hu, Ping Li, Yan Cui, Yanfeng Zhong, Fuzhai Cui and Francisco Villarreal. Their work appears in journals such as Biochemical and Biophysical Research Communications, World Journal of Gastroenterology, World Journal of Clinical Oncology, Journal of Virology and Cellular and Molecular Immunology.
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.