Daniel Liu
Impact in
- Process Chemistry and Technology top 10%
Papers in
-
- MicroRNA in disease regulation 5
-
- Photodynamic Therapy Research Studies 4
- Co-authors
- David Woodbridge Mathes (5 shared papers)Peter C. Neligan (3 shared papers)Michael C. Young (4 shared papers)Mohit Kapoor (3 shared papers)Michael R. Zenn (1 shared paper)Adam Enver Frampton (12 shared papers)Julia Gerwing Levy (5 shared papers)Jeffrey R. Scott (3 shared papers)
- Journals
- Cancers (4 papers)Abdominal Radiology (3 papers)Applied Clinical Informatics (2 papers)Annals of Oncology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel Liu
90 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 156
- Applied Microbiology and Biotechnology 29
- Process Chemistry and Technology 30
- Cancer Research 111
- Molecular Biology 408
- Immunology 115
Countries citing papers authored by Daniel Liu
This map shows the geographic impact of Daniel 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 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 Liu more than expected).
Fields of papers citing papers by Daniel Liu
This network shows the impact of papers produced by Daniel 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 Liu. The network helps show where Daniel Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 121 | |
| 2 | 2018 | 111 | |
| 3 | 1995 | 72 | |
| 4 | 2023 | 71 | |
| 5 | 2014 | 70 | |
| 6 | 2007 | 61 | |
| 7 | 2010 | 60 | |
| 8 | 1990 | 58 | |
| 9 | 2021 | 55 | |
| 10 | 2020 | 41 | |
| 11 | 2021 | 37 | |
| 12 | 2010 | 32 | |
| 13 | 2020 | 32 | |
| 14 | 2016 | 31 | |
| 15 | 2024 | 28 | |
| 16 | 2021 | 27 | |
| 17 | 2018 | 25 | |
| 18 | 2010 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2020 | 23 |
About Daniel Liu
Daniel Liu is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Environmental Engineering, Surgery and Oncology, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (5 papers), Photodynamic Therapy Research Studies (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Microbial Fuel Cells and Bioremediation (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Lung Cancer Research Studies (3 papers) and Fluid Dynamics Simulations and Interactions (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (29 citations), Process Chemistry and Technology (30 citations), Cancer Research (111 citations), Molecular Biology (408 citations) and Immunology (115 citations). Daniel Liu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David Woodbridge Mathes, Peter C. Neligan, Michael C. Young, Mohit Kapoor, Michael R. Zenn, Adam Enver Frampton, Julia Gerwing Levy, Jeffrey R. Scott, John Ferguson and Katherine M. Sheldon. Their work appears in journals such as Cancers, Abdominal Radiology, Applied Clinical Informatics, Annals of Oncology and International Journal of Molecular Sciences.
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.