Lingbin Liu
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
-
- Circular RNAs in diseases 6
- TGF-β signaling in diseases 3
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Qing Zhu (6 shared papers)Yongju Zhao (3 shared papers)Zhifu Cui (11 shared papers)Zelin Zhang (1 shared paper)Dejun Xu (1 shared paper)Jianyong Cheng (1 shared paper)Rongmao Hua (1 shared paper)Qingwang Li (1 shared paper)
- Journals
- Animals (4 papers)Poultry Science (3 papers)BMC Genomics (3 papers)Frontiers in Veterinary Science (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Lingbin Liu
35 papers receiving 660 citations
Peers
Comparison fields: 5 of 105
- Endocrine and Autonomic Systems 82
- Animal Science and Zoology 98
- Cancer Research 140
- Aging 13
- Geriatrics and Gerontology 22
Countries citing papers authored by Lingbin Liu
This map shows the geographic impact of Lingbin 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 Lingbin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingbin Liu more than expected).
Fields of papers citing papers by Lingbin Liu
This network shows the impact of papers produced by Lingbin 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 Lingbin Liu. The network helps show where Lingbin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingbin 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2018 | 61 | |
| 3 | 2018 | 52 | |
| 4 | 2023 | 38 | |
| 5 | 2020 | 34 | |
| 6 | 2021 | 32 | |
| 7 | 2015 | 30 | |
| 8 | 2022 | 24 | |
| 9 | 2019 | 19 | |
| 10 | 2017 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2012 | 10 |
About Lingbin Liu
Lingbin Liu is a scholar working on Molecular Biology, Cancer Research, Genetics, Animal Science and Zoology and Endocrine and Autonomic Systems, having authored 38 papers that have together received 665 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (9 papers), Genetic and phenotypic traits in livestock (8 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Regulation of Appetite and Obesity (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (82 citations), Animal Science and Zoology (98 citations), Cancer Research (140 citations), Aging (13 citations) and Geriatrics and Gerontology (22 citations). Lingbin Liu has collaborated with scholars based in China and United States. Frequent co-authors include Qing Zhu, Yongju Zhao, Zhifu Cui, Zelin Zhang, Dejun Xu, Jianyong Cheng, Rongmao Hua, Qingwang Li, Diyan Li and Xiaoling Zhao. Their work appears in journals such as Animals, Poultry Science, BMC Genomics, Frontiers in Veterinary Science 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.