Bin Liu
Impact in
- Endocrinology top 0.1%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Endocrinology 108
- Escherichia coli research studies 83
- Vibrio bacteria research studies 27
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- Glycosylation and Glycoproteins Research 18
- Co-authors
- Lei Wang (66 shared papers)Lu Feng (60 shared papers)Peter R. Reeves (15 shared papers)Yuriy A. Knirel (45 shared papers)Sof’ya N. Senchenkova (35 shared papers)Andrei V. Perepelov (24 shared papers)Xi Guo (27 shared papers)Alexander S. Shashkov (40 shared papers)
In The Last Decade
Bin Liu
221 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 153
- Endocrinology 1.6k
- Molecular Medicine 437
- Food Science 866
- Ecology 1.0k
- Microbiology 211
Countries citing papers authored by Bin Liu
This map shows the geographic impact of Bin 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 Bin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Liu more than expected).
Fields of papers citing papers by Bin Liu
This network shows the impact of papers produced by Bin 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 Bin Liu. The network helps show where Bin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 247 | |
| 2 | 2007 | 183 | |
| 3 | 2019 | 173 | |
| 4 | 2013 | 172 | |
| 5 | 2016 | 133 | |
| 6 | 2017 | 129 | |
| 7 | 2020 | 129 | |
| 8 | 2008 | 120 | |
| 9 | 2013 | 105 | |
| 10 | 2011 | 93 | |
| 11 | 2010 | 86 | |
| 12 | 2010 | 82 | |
| 13 | 2018 | 81 | |
| 14 | 2015 | 79 | |
| 15 | 2012 | 72 | |
| 16 | 2019 | 72 | |
| 17 | 2014 | 70 | |
| 18 | 2009 | 70 | |
| 19 | 2006 | 60 | |
| 20 | 2005 | 60 |
About Bin Liu
Bin Liu is a scholar working on Endocrinology, Molecular Biology, Ecology, Food Science and Genetics, having authored 230 papers that have together received 5.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (83 papers), Bacteriophages and microbial interactions (58 papers), Salmonella and Campylobacter epidemiology (30 papers), Vibrio bacteria research studies (27 papers), Bacterial Genetics and Biotechnology (25 papers), Viral gastroenteritis research and epidemiology (22 papers), Glycosylation and Glycoproteins Research (18 papers) and Aquaculture disease management and microbiota (15 papers). The work is most often cited by research in Endocrinology (1.6k citations), Molecular Medicine (437 citations), Food Science (866 citations), Ecology (1.0k citations) and Microbiology (211 citations). Bin Liu has collaborated with scholars based in China, Russia and Australia. Frequent co-authors include Lei Wang, Lu Feng, Peter R. Reeves, Yuriy A. Knirel, Sof’ya N. Senchenkova, Andrei V. Perepelov, Xi Guo, Alexander S. Shashkov, Quan Wang and Di Huang. Their work appears in journals such as Carbohydrate Research, PLoS ONE, Frontiers in Microbiology, Journal of Bacteriology and International Journal of Food Microbiology.
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.