Yanran Liu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Electrochemical Analysis and Applications 5
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- Supercapacitor Materials and Fabrication 3
- Co-authors
- Yang Tan (8 shared papers)Feng Chen (7 shared papers)Weifeng Shi (2 shared papers)Edward Charles Holmes (2 shared papers)Yuhai Bi (2 shared papers)Xing Chen (2 shared papers)Alice Catherine Hughes (2 shared papers)Di Liu (2 shared papers)
In The Last Decade
Yanran Liu
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 445
- Modeling and Simulation 72
- Animal Science and Zoology 153
- Electrochemistry 56
- Electronic, Optical and Magnetic Materials 130
Countries citing papers authored by Yanran Liu
This map shows the geographic impact of Yanran 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 Yanran Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanran Liu more than expected).
Fields of papers citing papers by Yanran Liu
This network shows the impact of papers produced by Yanran 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 Yanran Liu. The network helps show where Yanran Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanran 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 438 | |
| 2 | 2017 | 83 | |
| 3 | 2020 | 70 | |
| 4 | 2018 | 69 | |
| 5 | 2018 | 63 | |
| 6 | 2022 | 53 | |
| 7 | 2021 | 46 | |
| 8 | 2018 | 44 | |
| 9 | 2020 | 30 | |
| 10 | 2022 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 25 | |
| 13 | 2006 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2023 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2022 | 10 |
About Yanran Liu
Yanran Liu is a scholar working on Electrochemistry, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Materials Chemistry and Pharmaceutical Science, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include 2D Materials and Applications (9 papers), Electrochemical sensors and biosensors (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Electrochemical Analysis and Applications (5 papers), Graphene research and applications (4 papers), Quantum Dots Synthesis And Properties (3 papers), Advanced battery technologies research (3 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Infectious Diseases (445 citations), Modeling and Simulation (72 citations), Animal Science and Zoology (153 citations), Electrochemistry (56 citations) and Electronic, Optical and Magnetic Materials (130 citations). Yanran Liu has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yang Tan, Feng Chen, Weifeng Shi, Edward Charles Holmes, Yuhai Bi, Xing Chen, Alice Catherine Hughes, Di Liu, Peihan Wang and Juan Li. Their work appears in journals such as Advanced Functional Materials, ACS Nano, Biosensors and Bioelectronics, Current Biology and Advanced Materials.
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.