Daniel Dan Liu
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Single-cell and spatial transcriptomics 4
- Pluripotent Stem Cells Research 2
- Extracellular vesicles in disease 2
- Genetics 4
- Mesenchymal stem cell research 3
- Co-authors
- Avnesh S. Thakor (7 shared papers)Mujib Ullah (6 shared papers)Waldo Concepción (4 shared papers)Yibin Kang (3 shared papers)Yong Wei (3 shared papers)Xiang Hang (2 shared papers)Toni Celià-Terrassa (2 shared papers)Jeremy Dahl (1 shared paper)
- Journals
- Nature Communications (1 paper)iScience (1 paper)BioMed Research International (1 paper)Stem Cell Research & Therapy (1 paper)Cell (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Daniel Dan Liu
20 papers receiving 1.0k citations
Daniel Dan Liu's Hit Papers
Peers
Comparison fields: 5 of 84
- Genetics 287
- Developmental Neuroscience 47
- Cancer Research 164
- Oncology 175
- Molecular Biology 417
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 21 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 | 417 |
| 2 | 2018 | 123 | |
| 3 | 2017 | 78 | |
| 4 | 2023 | 66 | |
| 5 | 2020 | 56 | |
| 6 | 2017 | 49 | |
| 7 | 2014 | 48 | |
| 8 | 2022 | 31 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 30 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2014 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Daniel Dan Liu
Daniel Dan Liu is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Developmental Neuroscience, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Mesenchymal stem cell research (3 papers), Pluripotent Stem Cells Research (2 papers), Cancer Cells and Metastasis (2 papers), Extracellular vesicles in disease (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Genetics (287 citations), Developmental Neuroscience (47 citations), Cancer Research (164 citations), Oncology (175 citations) and Molecular Biology (417 citations). Daniel Dan Liu has collaborated with scholars based in United States, China and India. Frequent co-authors include Avnesh S. Thakor, Mujib Ullah, Waldo Concepción, Yibin Kang, Yong Wei, Xiang Hang, Toni Celià-Terrassa, Jeremy Dahl, Lara B. McKenzie and Christy L. Collins. Their work appears in journals such as Nature Communications, iScience, BioMed Research International, Stem Cell Research & Therapy and Cell.
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.