Daoxin Ma
Impact in
- Hematology top 0.5%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Autoimmune and Inflammatory Disorders Research
- Immunology top 2%
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
Papers in
-
- Inflammasome and immune disorders 11
- Epigenetics and DNA Methylation 9
- Cancer-related gene regulation 9
- Immunology 50
- Immune Cell Function and Interaction 22
- Psoriasis: Treatment and Pathogenesis 13
- Co-authors
- Chunyan Ji (84 shared papers)Xiuwen Wang (5 shared papers)Yawei Wang (3 shared papers)Baoxia Cui (14 shared papers)Shuang Yu (17 shared papers)Tian Tian (14 shared papers)Ming Hou (20 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
164 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 126
- Hematology 1.1k
- Immunology 1.4k
- Cancer Research 703
- Oncology 812
- Genetics 288
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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 234 | |
| 2 | 2010 | 225 | |
| 3 | 2012 | 185 | |
| 4 | 2017 | 161 | |
| 5 | 2022 | 146 | |
| 6 | 2006 | 129 | |
| 7 | 2009 | 120 | |
| 8 | 2011 | 116 | |
| 9 | 2022 | 107 | |
| 10 | 2012 | 95 | |
| 11 | 2013 | 93 | |
| 12 | 2019 | 86 | |
| 13 | 2020 | 83 | |
| 14 | 2014 | 79 | |
| 15 | 2008 | 76 | |
| 16 | 2009 | 76 | |
| 17 | 2012 | 75 | |
| 18 | 2011 | 72 | |
| 19 | 2008 | 68 | |
| 20 | 2012 | 67 |
About Daoxin Ma
Daoxin Ma is a scholar working on Molecular Biology, Immunology, Hematology, Genetics and Oncology, having authored 169 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Immune Cell Function and Interaction (22 papers), Platelet Disorders and Treatments (14 papers), Psoriasis: Treatment and Pathogenesis (13 papers), Inflammasome and immune disorders (11 papers), Epigenetics and DNA Methylation (9 papers), Cancer-related gene regulation (9 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology (1.4k citations), Cancer Research (703 citations), Oncology (812 citations) and Genetics (288 citations). Daoxin Ma has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Chunyan Ji, Xiuwen Wang, Yawei Wang, Baoxia Cui, Shuang Yu, Tian Tian, Ming Hou, Ying Teng, Jingjing Ye and Chaoqin Zhong. 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.