Xiaoye Liang
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 22
- Escherichia coli research studies 11
-
- Bacterial biofilms and quorum sensing 6
- Co-authors
- Tao Dong (25 shared papers)Richard A. Moore (4 shared papers)Linh Lam (3 shared papers)Tong‐Tong Pei (17 shared papers)John J. Mekalanos (2 shared papers)Mike Wilton (2 shared papers)Ping Xu (5 shared papers)Brianne J. Burkinshaw (1 shared paper)
- Journals
- Applied and Environmental Microbiology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Bacteriology (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaoye Liang
30 papers receiving 885 citations
Peers
Comparison fields: 5 of 92
- Endocrinology 525
- Molecular Medicine 264
- Genetics 177
- Surfaces, Coatings and Films 29
- Molecular Biology 248
Countries citing papers authored by Xiaoye Liang
This map shows the geographic impact of Xiaoye Liang'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 Xiaoye Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoye Liang more than expected).
Fields of papers citing papers by Xiaoye Liang
This network shows the impact of papers produced by Xiaoye Liang. 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 Xiaoye Liang. The network helps show where Xiaoye Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoye Liang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 136 | |
| 2 | 2015 | 133 | |
| 3 | 2018 | 106 | |
| 4 | 2022 | 61 | |
| 5 | 2020 | 55 | |
| 6 | 2019 | 50 | |
| 7 | 2020 | 49 | |
| 8 | 2016 | 44 | |
| 9 | 2023 | 37 | |
| 10 | 2021 | 33 | |
| 11 | 2022 | 32 | |
| 12 | 2016 | 29 | |
| 13 | 2020 | 23 | |
| 14 | 2021 | 21 | |
| 15 | 2023 | 16 | |
| 16 | 2025 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2019 | 7 |
About Xiaoye Liang
Xiaoye Liang is a scholar working on Endocrinology, Molecular Biology, Molecular Medicine, Materials Chemistry and Plant Science, having authored 36 papers that have together received 891 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (22 papers), Escherichia coli research studies (11 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial biofilms and quorum sensing (6 papers), Advanced Nanomaterials in Catalysis (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Bacteriophages and microbial interactions (3 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Endocrinology (525 citations), Molecular Medicine (264 citations), Genetics (177 citations), Surfaces, Coatings and Films (29 citations) and Molecular Biology (248 citations). Xiaoye Liang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Tao Dong, Richard A. Moore, Linh Lam, Tong‐Tong Pei, John J. Mekalanos, Mike Wilton, Ping Xu, Brianne J. Burkinshaw, Hao Li and Fatima Kamal. Their work appears in journals such as Applied and Environmental Microbiology, Proceedings of the National Academy of Sciences, Journal of Bacteriology, Nature Communications and Cell Reports.
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.