Yuling Liu
Impact in
- Genetics top 10%
- Insect and Arachnid Ecology and Behavior
- Insect Science top 10%
Papers in
-
- Research in Cotton Cultivation 13
- Plant Virus Research Studies 8
- Plant Molecular Biology Research 4
- Chromosomal and Genetic Variations 4
-
- Genomics and Phylogenetic Studies 5
- Plant biochemistry and biosynthesis 3
- Co-authors
- Ling‐Qiao Huang (2 shared papers)Paolo Pelosi (2 shared papers)Chen‐Zhu Wang (2 shared papers)John B. Hogenesch (1 shared paper)Damek V. Spacek (1 shared paper)M Snyder (1 shared paper)Anthony O. Olarerin-George (1 shared paper)Manolis Kellis (1 shared paper)
- Journals
- BMC Plant Biology (4 papers)Plants (3 papers)PLoS ONE (2 papers)Archives of Microbiology (2 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuling Liu
46 papers receiving 695 citations
Peers
Comparison fields: 5 of 104
- Genetics 193
- Insect Science 88
- Cellular and Molecular Neuroscience 113
- Molecular Biology 377
- Plant Science 190
Countries citing papers authored by Yuling Liu
This map shows the geographic impact of Yuling 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 Yuling Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Liu more than expected).
Fields of papers citing papers by Yuling Liu
This network shows the impact of papers produced by Yuling 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 Yuling Liu. The network helps show where Yuling Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 247 | |
| 2 | 2016 | 69 | |
| 3 | 2014 | 65 | |
| 4 | 2020 | 39 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 18 | |
| 8 | 2019 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 8 |
About Yuling Liu
Yuling Liu is a scholar working on Plant Science, Molecular Biology, Cellular and Molecular Neuroscience, Ecology and Genetics, having authored 47 papers that have together received 702 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (13 papers), Plant Virus Research Studies (8 papers), Genomics and Phylogenetic Studies (5 papers), Plant Molecular Biology Research (4 papers), Chromosomal and Genetic Variations (4 papers), Microbial Community Ecology and Physiology (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Genetics (193 citations), Insect Science (88 citations), Cellular and Molecular Neuroscience (113 citations), Molecular Biology (377 citations) and Plant Science (190 citations). Yuling Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ling‐Qiao Huang, Paolo Pelosi, Chen‐Zhu Wang, John B. Hogenesch, Damek V. Spacek, M Snyder, Anthony O. Olarerin-George, Manolis Kellis, Lars M. Steinmetz and Jingjing Li. Their work appears in journals such as BMC Plant Biology, Plants, PLoS ONE, Archives of Microbiology and Frontiers in Plant Science.
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.