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
-
- Metabolomics and Mass Spectrometry Studies 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Juan Fang (11 shared papers)Bin Cheng (9 shared papers)Zhi Wang (10 shared papers)Luisa A. DiPietro (3 shared papers)Lin Chen (3 shared papers)Xiangqi Liu (7 shared papers)Juan Xia (7 shared papers)Norifumi Urao (1 shared paper)
- Journals
- LWT (3 papers)The Journal of Immunology (2 papers)BMC Cancer (2 papers)Clinical Immunology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Da Ma
30 papers receiving 597 citations
Peers
Comparison fields: 5 of 104
- Rehabilitation 91
- Immunology 129
- Oncology 148
- Occupational Therapy 20
- Otorhinolaryngology 18
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2017 | 124 | |
| 3 | 2016 | 38 | |
| 4 | 2017 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2007 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2024 | 16 | |
| 11 | 2020 | 15 | |
| 12 | Enzastaurin and pemetrexed exert synergistic antitumor activity in thyroid cancer cell lines in vitro. | 2005 | 15 |
| 13 | 2024 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2010 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2003 | 8 | |
| 20 | 2024 | 6 |
About Da Ma
Da Ma is a scholar working on Molecular Biology, Oncology, Immunology, Biomaterials and Pathology and Forensic Medicine, having authored 35 papers that have together received 604 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immune cells in cancer (3 papers), Wound Healing and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Biomarkers in Disease Mechanisms (2 papers), Supramolecular Chemistry and Complexes (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Rehabilitation (91 citations), Immunology (129 citations), Oncology (148 citations), Occupational Therapy (20 citations) and Otorhinolaryngology (18 citations). Da Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Juan Fang, Bin Cheng, Zhi Wang, Luisa A. DiPietro, Lin Chen, Xiangqi Liu, Juan Xia, Norifumi Urao, May Barakat and Yi‐Chen Chen. Their work appears in journals such as LWT, The Journal of Immunology, BMC Cancer, Clinical Immunology and Clinical Cancer Research.
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.