Ning Xiang
Impact in
- Food Science top 1%
- Proteins in Food Systems
- Polysaccharides Composition and Applications
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Antimicrobial Peptides and Activities 5
- Food Science 13
- Proteins in Food Systems 11
- Co-authors
- David L. KaplanNatalie R. RubioGanesan NarsimhanPeilong SunPing ShaoYuan LyuXiao ZhuDan Qiu
- Journals
- Food Hydrocolloids (4 papers)Food Research International (3 papers)Trends in Food Science & Technology (2 papers)ACS Applied Materials & Interfaces (2 papers)Peptides (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ning Xiang
41 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Food Science 825
- Biomaterials 390
- Animal Science and Zoology 239
- Automotive Engineering 201
- Ecology 362
Countries citing papers authored by Ning Xiang
This map shows the geographic impact of Ning Xiang'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 Ning Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Xiang more than expected).
Fields of papers citing papers by Ning Xiang
This network shows the impact of papers produced by Ning Xiang. 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 Ning Xiang. The network helps show where Ning Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Xiang, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 28 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 31 | |
| 9 | 2023 | 33 | |
| 10 | 2022 | 121 | |
| 11 | 2022 | 71 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 48 | |
| 14 | 2021 | 25 | |
| 15 | 2021 | 112 | |
| 16 | Recent advances in improving stability of food emulsion by plant polysaccharides Hit paper breakdown → | 2020 | 271 |
| 17 | Plant-based and cell-based approaches to meat production Hit paper breakdown → | 2020 | 395 |
| 18 | 2019 | 139 | |
| 19 | 2017 | 22 | |
| 20 | Heterogeneous Catalytic Mechanism of SO_2 Oxidation With Fe_2O_3 | 2016 | 2 |
About Ning Xiang
Ning Xiang is a scholar working on Microbiology, Food Science, Biomaterials, Automotive Engineering and Animal Science and Zoology, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Proteins in Food Systems (11 papers), Silk-based biomaterials and applications (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Agriculture Sustainability and Environmental Impact (6 papers), Antimicrobial Peptides and Activities (5 papers), Pickering emulsions and particle stabilization (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). The work is most often cited by research in Food Science (825 citations), Biomaterials (390 citations), Animal Science and Zoology (239 citations), Automotive Engineering (201 citations) and Ecology (362 citations). Ning Xiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include David L. Kaplan, Natalie R. Rubio, Ganesan Narsimhan, Peilong Sun, Ping Shao, Yuan Lyu, Xiao Zhu, Dan Qiu, Baiyi Lu and Zhengxun Wei. Their work appears in journals such as Food Hydrocolloids, Food Research International, Trends in Food Science & Technology, ACS Applied Materials & Interfaces and Peptides.
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.