Daniel Liu
Impact in
- Process Chemistry and Technology top 10%
Papers in
-
- Extracellular vesicles in disease 4
-
- Photodynamic Therapy Research Studies 4
- 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)John Ferguson (1 shared paper)
- Journals
- Cancers (4 papers)Cancer Research (2 papers)Abdominal Radiology (2 papers)Journal of Reconstructive Microsurgery (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel Liu
84 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 153
- Applied Microbiology and Biotechnology 25
- Process Chemistry and Technology 30
- Cancer Research 92
- Immunology 111
- Molecular Biology 352
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 118 | |
| 2 | 2018 | 107 | |
| 3 | 1995 | 72 | |
| 4 | 2014 | 67 | |
| 5 | 2007 | 61 | |
| 6 | 1990 | 57 | |
| 7 | 2010 | 56 | |
| 8 | 2021 | 45 | |
| 9 | 2020 | 38 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 32 | |
| 12 | 2010 | 31 | |
| 13 | 2016 | 29 | |
| 14 | 2021 | 25 | |
| 15 | 2018 | 24 | |
| 16 | 2010 | 24 | |
| 17 | 2020 | 22 | |
| 18 | 2014 | 22 | |
| 19 | 2019 | 22 | |
| 20 | 1992 | 20 |
About Daniel Liu
Daniel Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Electrical and Electronic Engineering, having authored 92 papers that have together received 1.3k indexed citations. Recurring topics across this work include 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), Extracellular vesicles in disease (4 papers), Menopause: Health Impacts and Treatments (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (25 citations), Process Chemistry and Technology (30 citations), Cancer Research (92 citations), Immunology (111 citations) and Molecular Biology (352 citations). Daniel Liu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David W. Mathes, Peter C. Neligan, Mohit Kapoor, Michael C. Young, Michael R. Zenn, Adam E. Frampton, Julia G. Levy, John Ferguson, Jean Gariépy and Katherine Sheldon. Their work appears in journals such as Cancers, Cancer Research, Abdominal Radiology, Journal of Reconstructive Microsurgery 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.