Niannian Yang
- Health, Toxicology and Mutagenesis top 5%
- General Health Professions
- Physiology
- Molecular Biology
- Oncology
- Co-authors
- Yaqiong YanJie GongXinguang ChenKaren MacDonellJing ChenAngela J. Jacques‐TiuraJuan DaiLingli Kong
- Topics
- Air Quality and Health Impacts (6 papers)Climate Change and Health Impacts (6 papers)Plant Stress Responses and Tolerance (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Niannian Yang
27 papers receiving 462 citations
Peers
Comparison fields: 5 of 113
- Health, Toxicology and Mutagenesis 145
- General Health Professions 73
- Physiology 62
- Molecular Biology 47
- Oncology 46
Countries citing papers authored by Niannian Yang
This map shows the geographic impact of Niannian Yang'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 Niannian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niannian Yang more than expected).
Fields of papers citing papers by Niannian Yang
This network shows the impact of papers produced by Niannian Yang. 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 Niannian Yang. The network helps show where Niannian Yang may publish in the future.
Co-authorship network of co-authors of Niannian Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Niannian Yang. A scholar is included among the top collaborators of Niannian Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niannian Yang. Niannian Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 17 | |
| 14 | 31 | |
| 15 | 84 | |
| 16 | Incidence and mortality of female breast cancer in China — a report from 32 Chinese cancer registries, 2003-2007 | 23 |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | Part 2. Association of daily mortality with ambient air pollution, and effect modification by extremely high temperature in Wuhan, China. | 40 |
About Niannian Yang
Niannian Yang is a scholar working on Otorhinolaryngology, Health, Toxicology and Mutagenesis and Applied Psychology, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (6 papers), Climate Change and Health Impacts (6 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (145 citations), Applied Psychology (35 citations) and Otorhinolaryngology (14 citations). Niannian Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yaqiong Yan, Jie Gong, Xinguang Chen, Karen MacDonell, Jing Chen, Angela J. Jacques‐Tiura, Juan Dai, Lingli Kong, Qingci He and Zhengmin Qian. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Environmental Pollution.
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.