Daniel Liu
Impact in
- Process Chemistry and Technology top 10%
Papers in
-
- Extracellular vesicles in disease 4
- Surgery 13
- Reconstructive Surgery and Microvascular Techniques 5
- Co-authors
- David W. Mathes (5 shared papers)Peter C. Neligan (3 shared papers)Mohit Kapoor (3 shared papers)Michael C. Young (4 shared papers)Michael R. Zenn (1 shared paper)Adam E. Frampton (13 shared papers)Julia G. Levy (5 shared papers)Jean Gariépy (1 shared paper)
- Journals
- Cancers (4 papers)Cancer Research (2 papers)International Journal of Molecular Sciences (2 papers)Abdominal Radiology (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Liu
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 154
- Applied Microbiology and Biotechnology 24
- Process Chemistry and Technology 30
- Cancer Research 107
- Immunology 114
- Organic Chemistry 150
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 112 | |
| 2 | 2018 | 105 | |
| 3 | 1995 | 71 | |
| 4 | 2014 | 62 | |
| 5 | 1990 | 56 | |
| 6 | 2007 | 55 | |
| 7 | 2010 | 54 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 35 | |
| 10 | 2020 | 32 | |
| 11 | 2021 | 31 | |
| 12 | 2010 | 29 | |
| 13 | 2016 | 28 | |
| 14 | 2021 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2010 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2014 | 20 | |
| 20 | 1988 | 19 |
About Daniel Liu
Daniel Liu is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (5 papers), MicroRNA in disease regulation (5 papers), Photodynamic Therapy Research Studies (4 papers), Microbial Fuel Cells and Bioremediation (4 papers), Extracellular vesicles in disease (4 papers), Fluid Dynamics Simulations and Interactions (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (24 citations), Process Chemistry and Technology (30 citations), Cancer Research (107 citations), Immunology (114 citations) and Organic Chemistry (150 citations). Daniel Liu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David W. Mathes, Peter C. Neligan, Mohit Kapoor, Michael C. Young, Michael R. Zenn, Adam E. Frampton, Julia G. Levy, Jean Gariépy, Katherine Sheldon and John Ferguson. Their work appears in journals such as Cancers, Cancer Research, International Journal of Molecular Sciences, Abdominal Radiology and Annals of Oncology.
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.