Yanlin Niu
Impact in
-
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Biotechnology top 10%
- Listeria monocytogenes in Food Safety
- Microbial Inactivation Methods
Papers in
-
- Climate Change and Health Impacts 10
- Air Quality and Health Impacts 7
- Food Science 10
- Salmonella and Campylobacter epidemiology 7
- Food Safety and Hygiene 7
- Co-authors
- Qiyong Liu (12 shared papers)Xiaochen Ma (9 shared papers)Yuzhu Liu (6 shared papers)Xiao‐Ai Zhang (4 shared papers)Baozhen Huang (2 shared papers)Yujuan Yue (4 shared papers)Diangeng Li (1 shared paper)Lei Xu (1 shared paper)
- Journals
- Frontiers in Microbiology (2 papers)Foodborne Pathogens and Disease (2 papers)The Science of The Total Environment (2 papers)Photonics (1 paper)JAMA Network Open (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Yanlin Niu
27 papers receiving 327 citations
Peers
Comparison fields: 5 of 77
- Health, Toxicology and Mutagenesis 132
- Biotechnology 77
- Food Science 80
- Environmental Engineering 45
- Modeling and Simulation 9
Countries citing papers authored by Yanlin Niu
This map shows the geographic impact of Yanlin Niu'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 Yanlin Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanlin Niu more than expected).
Fields of papers citing papers by Yanlin Niu
This network shows the impact of papers produced by Yanlin Niu. 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 Yanlin Niu. The network helps show where Yanlin Niu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanlin Niu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2020 | 42 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 30 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Yanlin Niu
Yanlin Niu is a scholar working on Health, Toxicology and Mutagenesis, Food Science, Biotechnology, Infectious Diseases and Parasitology, having authored 29 papers that have together received 333 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (10 papers), Listeria monocytogenes in Food Safety (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Food Safety and Hygiene (7 papers), Air Quality and Health Impacts (7 papers), Viral gastroenteritis research and epidemiology (3 papers), Health disparities and outcomes (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (132 citations), Biotechnology (77 citations), Food Science (80 citations), Environmental Engineering (45 citations) and Modeling and Simulation (9 citations). Yanlin Niu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Qiyong Liu, Xiaochen Ma, Yuzhu Liu, Xiao‐Ai Zhang, Baozhen Huang, Yujuan Yue, Diangeng Li, Lei Xu, Weiguo Zhao and Jun Yang. Their work appears in journals such as Frontiers in Microbiology, Foodborne Pathogens and Disease, The Science of The Total Environment, Photonics and JAMA Network Open.
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.