Daniel Dan Liu
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Genetics 7
- Mesenchymal stem cell research 5
- Glioma Diagnosis and Treatment 2
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- Neurogenesis and neuroplasticity mechanisms 3
- Co-authors
- Avnesh S. Thakor (8 shared papers)Mujib Ullah (6 shared papers)Waldo Concepción (4 shared papers)Xiang Hang (2 shared papers)Toni Celià-Terrassa (2 shared papers)Yong Wei (2 shared papers)Yibin Kang (2 shared papers)Jeremy Dahl (1 shared paper)
- Journals
- Nature Cancer (1 paper)Cell (1 paper)Stem Cells Translational Medicine (1 paper)International Journal of Molecular Sciences (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Daniel Dan Liu
28 papers receiving 1.1k citations
Daniel Dan Liu's Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 305
- Cancer Research 173
- Developmental Neuroscience 47
- Oncology 209
- Molecular Biology 483
Countries citing papers authored by Daniel Dan Liu
This map shows the geographic impact of Daniel Dan Liu'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 Daniel Dan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dan Liu more than expected).
Fields of papers citing papers by Daniel Dan Liu
This network shows the impact of papers produced by Daniel Dan Liu. 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 Daniel Dan Liu. The network helps show where Daniel Dan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dan Liu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mesenchymal Stromal Cell Homing: Mechanisms and Strategies for Improvement Hit paper breakdown → | 2019 | 439 |
| 2 | 2018 | 128 | |
| 3 | 2017 | 90 | |
| 4 | 2023 | 76 | |
| 5 | 2020 | 58 | |
| 6 | 2014 | 49 | |
| 7 | 2022 | 49 | |
| 8 | 2022 | 35 | |
| 9 | 2020 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2024 | 27 | |
| 14 | 2024 | 22 | |
| 15 | 2021 | 15 | |
| 16 | 2014 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2025 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2024 | 4 |
About Daniel Dan Liu
Daniel Dan Liu is a scholar working on Genetics, Developmental Neuroscience, Molecular Biology, Cancer Research and Oncology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Mesenchymal stem cell research (5 papers), Pluripotent Stem Cells Research (4 papers), Extracellular vesicles in disease (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer Cells and Metastasis (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (305 citations), Cancer Research (173 citations), Developmental Neuroscience (47 citations), Oncology (209 citations) and Molecular Biology (483 citations). Daniel Dan Liu has collaborated with scholars based in United States, India and China. Frequent co-authors include Avnesh S. Thakor, Mujib Ullah, Waldo Concepción, Xiang Hang, Toni Celià-Terrassa, Yong Wei, Yibin Kang, Jeremy Dahl, R. Dawn Comstock and Christy L. Collins. Their work appears in journals such as Nature Cancer, Cell, Stem Cells Translational Medicine, International Journal of Molecular Sciences and Laboratory Investigation.
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.