Long Liu
Impact in
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Radical Photochemical Reactions
- Sulfur-Based Synthesis Techniques
- Catalytic Cross-Coupling Reactions
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology
Papers in
-
- Gut microbiota and health 4
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 11
- Co-authors
- Daoqing Gong (27 shared papers)Shuang‐Feng Yin (4 shared papers)Yongbo Zhou (4 shared papers)Jianyu Dong (4 shared papers)Lebin Su (3 shared papers)Tuoyu Geng (23 shared papers)Minmeng Zhao (18 shared papers)Debiao Zhao (3 shared papers)
- Journals
- Poultry Science (4 papers)International Journal of Biological Macromolecules (2 papers)Biological Trace Element Research (2 papers)Animal Science Journal (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited KingdomSudan
In The Last Decade
Long Liu
31 papers receiving 655 citations
Peers
Comparison fields: 5 of 96
- Organic Chemistry 231
- Animal Science and Zoology 65
- Cancer Research 72
- Genetics 106
- Molecular Biology 201
Countries citing papers authored by Long Liu
This map shows the geographic impact of Long 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 Long Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Liu more than expected).
Fields of papers citing papers by Long Liu
This network shows the impact of papers produced by Long 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 Long Liu. The network helps show where Long Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 | 2016 | 137 | |
| 2 | 2021 | 91 | |
| 3 | 2019 | 81 | |
| 4 | 2017 | 60 | |
| 5 | 2016 | 30 | |
| 6 | 2015 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2017 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 9 | |
| 19 | 2023 | 9 | |
| 20 | 2020 | 9 |
About Long Liu
Long Liu is a scholar working on Molecular Biology, Epidemiology, Animal Science and Zoology, Cancer Research and Physiology, having authored 35 papers that have together received 661 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Animal Nutrition and Physiology (8 papers), MicroRNA in disease regulation (4 papers), Gut microbiota and health (4 papers), Catalytic C–H Functionalization Methods (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Cancer-related molecular mechanisms research (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Organic Chemistry (231 citations), Animal Science and Zoology (65 citations), Cancer Research (72 citations), Genetics (106 citations) and Molecular Biology (201 citations). Long Liu has collaborated with scholars based in China, United Kingdom and Sudan. Frequent co-authors include Daoqing Gong, Shuang‐Feng Yin, Yongbo Zhou, Jianyu Dong, Lebin Su, Tuoyu Geng, Minmeng Zhao, Debiao Zhao, Michael Clinton and Jason Ioannidis. Their work appears in journals such as Poultry Science, International Journal of Biological Macromolecules, Biological Trace Element Research, Animal Science Journal and BMC Genomics.
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.