Xiaoyun Bin
Impact in
-
- Microbial Metabolites in Food Biotechnology
-
- Probiotics and Fermented Foods
- Polysaccharides Composition and Applications
Papers in
-
- Plant and Fungal Species Descriptions 2
- Genetics 6
- Forensic and Genetic Research 3
- Genetic diversity and population structure 2
- Co-authors
- Guangbin Ye (7 shared papers)Changli Wang (3 shared papers)Yuanhong Chen (1 shared paper)Shaoqing Tang (3 shared papers)Yang Zhong (2 shared papers)Li Wang (1 shared paper)Xiang Wang (2 shared papers)Zi‐Hao Qin (3 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)American Journal of Physical Anthropology (1 paper)Aging (1 paper)International Journal of Biological Macromolecules (1 paper)Frontiers in Ecology and Evolution (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoyun Bin
19 papers receiving 270 citations
Peers
Comparison fields: 5 of 81
- Nutrition and Dietetics 55
- Food Science 58
- Renewable Energy, Sustainability and the Environment 42
- Biotechnology 21
- Genetics 64
Countries citing papers authored by Xiaoyun Bin
This map shows the geographic impact of Xiaoyun Bin'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 Xiaoyun Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyun Bin more than expected).
Fields of papers citing papers by Xiaoyun Bin
This network shows the impact of papers produced by Xiaoyun Bin. 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 Xiaoyun Bin. The network helps show where Xiaoyun Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyun Bin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2022 | 38 | |
| 3 | 2006 | 34 | |
| 4 | 2007 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Xiaoyun Bin
Xiaoyun Bin is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Cancer Research and Food Science, having authored 20 papers that have together received 276 indexed citations. Recurring topics across this work include Forensic and Genetic Research (3 papers), Microbial Metabolites in Food Biotechnology (3 papers), Cancer-related molecular mechanisms research (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Algal biology and biofuel production (3 papers), MicroRNA in disease regulation (2 papers), Plant and Fungal Species Descriptions (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Nutrition and Dietetics (55 citations), Food Science (58 citations), Renewable Energy, Sustainability and the Environment (42 citations), Biotechnology (21 citations) and Genetics (64 citations). Xiaoyun Bin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guangbin Ye, Changli Wang, Yuanhong Chen, Shaoqing Tang, Yang Zhong, Li Wang, Xiang Wang, Zi‐Hao Qin, Jin‐Hua Mou and Hongye Li. Their work appears in journals such as International Journal of Molecular Sciences, American Journal of Physical Anthropology, Aging, International Journal of Biological Macromolecules and Frontiers in Ecology and Evolution.
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.