Lie Ma
Impact in
-
- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Oncology 5
- CAR-T cell therapy research 5
- Co-authors
- Liren Wang (2 shared papers)Mingyao Liu (2 shared papers)Honghui Han (2 shared papers)Yuting Guan (2 shared papers)Dali Li (2 shared papers)Kewen Hu (1 shared paper)Ning Ma (1 shared paper)Li Zeng (1 shared paper)
- Journals
- Molecular Therapy (1 paper)Stem Cells (1 paper)Molecules and Cells (1 paper)Cell Death Discovery (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Lie Ma
18 papers receiving 314 citations
Peers
Comparison fields: 5 of 60
- Business and International Management 27
- Aging 7
- Molecular Biology 235
- Genetics 93
- Oncology 85
Countries citing papers authored by Lie Ma
This map shows the geographic impact of Lie 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 Lie Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Ma more than expected).
Fields of papers citing papers by Lie Ma
This network shows the impact of papers produced by Lie 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 Lie Ma. The network helps show where Lie Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lie 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 131 | |
| 2 | 2011 | 40 | |
| 3 | 2019 | 30 | |
| 4 | 2016 | 26 | |
| 5 | 2020 | 19 | |
| 6 | 2010 | 16 | |
| 7 | 2023 | 11 | |
| 8 | 2008 | 10 | |
| 9 | 2014 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2021 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2019 | 2 | |
| 15 | [Difference and significance of T-lymphocyte subsets in differential diagnosis between severe acute respiratory syndrome and common atypical pneumonia]. | 2004 | 2 |
| 16 | Integration-defective lentiviral vectors for hemophilia: a safer platform for immune tolerance inducation and reduced genotoxicity | 2010 | 1 |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Lie Ma
Lie Ma is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Cancer Research, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), MicroRNA in disease regulation (3 papers), Nanowire Synthesis and Applications (2 papers), Virus-based gene therapy research (2 papers), Aquaculture disease management and microbiota (2 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Business and International Management (27 citations), Aging (7 citations), Molecular Biology (235 citations), Genetics (93 citations) and Oncology (85 citations). Lie Ma has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Liren Wang, Mingyao Liu, Honghui Han, Yuting Guan, Dali Li, Kewen Hu, Ning Ma, Li Zeng, Zhenliang Sun and Yanlin Ma. Their work appears in journals such as Molecular Therapy, Stem Cells, Molecules and Cells, Cell Death Discovery and EMBO Molecular Medicine.
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.