Kewei Ma
Impact in
- Oncology top 5%
- Lung Cancer Research Studies
- Modeling and Simulation top 5%
Papers in
-
- Lung Cancer Treatments and Mutations 33
- Lung Cancer Diagnosis and Treatment 10
- Oncology 33
- Lung Cancer Research Studies 12
- Cancer Immunotherapy and Biomarkers 8
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Yinghui Xu (28 shared papers)Shi Qiu (17 shared papers)Ye Guo (4 shared papers)Chao Sun (10 shared papers)Xu Wang (2 shared papers)Zhiru Gao (4 shared papers)Zhenguo Wu (5 shared papers)Vincent Duronio (5 shared papers)
- Journals
- Journal of Thoracic Oncology (7 papers)Frontiers in Immunology (5 papers)Medicine (4 papers)Journal of Cancer Research and Clinical Oncology (3 papers)Cellular Signalling (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kewei Ma
121 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 148
- Oncology 590
- Modeling and Simulation 109
- Infectious Diseases 371
- Pulmonary and Respiratory Medicine 574
- Molecular Biology 1.1k
Countries citing papers authored by Kewei Ma
This map shows the geographic impact of Kewei 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 Kewei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kewei Ma more than expected).
Fields of papers citing papers by Kewei Ma
This network shows the impact of papers produced by Kewei 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 Kewei Ma. The network helps show where Kewei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kewei 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 671 | |
| 2 | 2007 | 168 | |
| 3 | 2005 | 148 | |
| 4 | 2005 | 138 | |
| 5 | 2007 | 131 | |
| 6 | 2019 | 113 | |
| 7 | 2011 | 105 | |
| 8 | 2007 | 104 | |
| 9 | 2002 | 99 | |
| 10 | Increased circulating myeloid-derived suppressor cells correlate with cancer stages, interleukin-8 and -6 in prostate cancer. | 2014 | 79 |
| 11 | 2020 | 66 | |
| 12 | 2010 | 55 | |
| 13 | 2020 | 47 | |
| 14 | 2009 | 44 | |
| 15 | 2014 | 44 | |
| 16 | 2022 | 35 | |
| 17 | 2013 | 34 | |
| 18 | 2008 | 33 | |
| 19 | 2018 | 32 | |
| 20 | 2021 | 32 |
About Kewei Ma
Kewei Ma is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 143 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (33 papers), Lung Cancer Research Studies (12 papers), Lung Cancer Diagnosis and Treatment (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cancer Genomics and Diagnostics (7 papers), RNA Research and Splicing (7 papers), Cytokine Signaling Pathways and Interactions (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Oncology (590 citations), Modeling and Simulation (109 citations), Infectious Diseases (371 citations), Pulmonary and Respiratory Medicine (574 citations) and Molecular Biology (1.1k citations). Kewei Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yinghui Xu, Shi Qiu, Ye Guo, Chao Sun, Xu Wang, Zhiru Gao, Zhenguo Wu, Vincent Duronio, Aaron J. Marshall and Jiuwei Cui. Their work appears in journals such as Journal of Thoracic Oncology, Frontiers in Immunology, Medicine, Journal of Cancer Research and Clinical Oncology and Cellular Signalling.
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.