Daoxin Ma
Impact in
- Hematology top 1%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Immunology top 2%
- T-cell and B-cell Immunology
Papers in
- Hematology 74
- Acute Myeloid Leukemia Research 39
- Platelet Disorders and Treatments 18
- Chronic Myeloid Leukemia Treatments 10
- Immunology 31
- T-cell and B-cell Immunology 19
- Psoriasis: Treatment and Pathogenesis 9
- Co-authors
- Chunyan Ji (87 shared papers)Xiuwen Wang (5 shared papers)Ming Hou (22 shared papers)Yawei Wang (3 shared papers)Baoxia Cui (14 shared papers)Tian Tian (14 shared papers)Xun Qu (9 shared papers)Ying Teng (1 shared paper)
- Journals
- PLoS ONE (10 papers)Clinica Chimica Acta (9 papers)Oncotarget (8 papers)Human Immunology (5 papers)International Journal of Gynecological Cancer (4 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Daoxin Ma
165 papers receiving 4.9k citations
Daoxin Ma's Hit Papers
Peers
Comparison fields: 5 of 97
- Hematology 1.3k
- Immunology 771
- Oncology 674
- Cancer Research 323
- Molecular Biology 1.3k
Countries citing papers authored by Daoxin Ma
This map shows the geographic impact of Daoxin 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 Daoxin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoxin Ma more than expected).
Fields of papers citing papers by Daoxin Ma
This network shows the impact of papers produced by Daoxin 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 Daoxin Ma. The network helps show where Daoxin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoxin 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 253 | |
| 2 | 2010 | 227 | |
| 3 | 2012 | 185 | |
| 4 | 2022 | 166 | |
| 5 | 2017 | 163 | |
| 6 | 2006 | 142 | |
| 7 | 2009 | 132 | |
| 8 | Chenodeoxycholic acid suppresses AML progression through promoting lipid peroxidation via ROS/p38 MAPK/DGAT1 pathway and inhibiting M2 macrophage polarization Hit paper breakdown → | 2022 | 124 |
| 9 | 2009 | 120 | |
| 10 | 2011 | 118 | |
| 11 | 2012 | 98 | |
| 12 | 2013 | 94 | |
| 13 | 2020 | 86 | |
| 14 | 2019 | 85 | |
| 15 | 2014 | 80 | |
| 16 | 2008 | 78 | |
| 17 | 2009 | 78 | |
| 18 | 2012 | 76 | |
| 19 | 2011 | 71 | |
| 20 | 2012 | 70 |
About Daoxin Ma
Daoxin Ma is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 167 papers that have together received 5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (39 papers), T-cell and B-cell Immunology (19 papers), Platelet Disorders and Treatments (18 papers), Chronic Myeloid Leukemia Treatments (10 papers), Psoriasis: Treatment and Pathogenesis (9 papers), Inflammasome and immune disorders (9 papers), Circular RNAs in diseases (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (1.3k citations), Immunology (771 citations), Oncology (674 citations), Cancer Research (323 citations) and Molecular Biology (1.3k citations). Daoxin Ma has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Chunyan Ji, Xiuwen Wang, Ming Hou, Yawei Wang, Baoxia Cui, Tian Tian, Xun Qu, Ying Teng, Jingjing Ye and Jun Peng. Their work appears in journals such as PLoS ONE, Clinica Chimica Acta, Oncotarget, Human Immunology and International Journal of Gynecological Cancer.
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.