Da Ma
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
-
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 3
- Co-authors
- Zhi Wang (12 shared papers)Juan Fang (11 shared papers)Bin Cheng (9 shared papers)Luisa A. DiPietro (3 shared papers)Lin Chen (3 shared papers)Xiangqi Liu (7 shared papers)May Barakat (1 shared paper)Juan Xia (7 shared papers)
- Journals
- LWT (3 papers)BMC Cancer (2 papers)Clinical Immunology (2 papers)The Journal of Immunology (2 papers)Journal of Applied Polymer Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Da Ma
30 papers receiving 557 citations
Peers
Comparison fields: 5 of 107
- Rehabilitation 98
- Immunology 160
- Oncology 192
- Otorhinolaryngology 26
- Occupational Therapy 22
Countries citing papers authored by Da Ma
This map shows the geographic impact of Da 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 Da Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Ma more than expected).
Fields of papers citing papers by Da Ma
This network shows the impact of papers produced by Da 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 Da Ma. The network helps show where Da Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2017 | 120 | |
| 3 | 2016 | 38 | |
| 4 | 2017 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2007 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 17 | |
| 9 | 2020 | 15 | |
| 10 | Enzastaurin and pemetrexed exert synergistic antitumor activity in thyroid cancer cell lines in vitro. | 2005 | 15 |
| 11 | 2020 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2010 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2003 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2018 | 5 |
About Da Ma
Da Ma is a scholar working on Molecular Biology, Immunology, Oncology, Biomaterials and Cell Biology, having authored 34 papers that have together received 564 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Supramolecular Self-Assembly in Materials (3 papers), Wound Healing and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Immune cells in cancer (3 papers), Body Composition Measurement Techniques (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Rehabilitation (98 citations), Immunology (160 citations), Oncology (192 citations), Otorhinolaryngology (26 citations) and Occupational Therapy (22 citations). Da Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhi Wang, Juan Fang, Bin Cheng, Luisa A. DiPietro, Lin Chen, Xiangqi Liu, May Barakat, Juan Xia, Norifumi Urao and Yi‐Chen Chen. Their work appears in journals such as LWT, BMC Cancer, Clinical Immunology, The Journal of Immunology and Journal of Applied Polymer Science.
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.