Hao Yin
- Health, Toxicology and Mutagenesis top 5%
- General Health Professions
- Environmental Engineering top 10%
- Economics and Econometrics
- Physiology
- Co-authors
- Rob McConnellZhu LiuXiaolong TangSam J. SilvaLawrence A. PalinkasErika GarciaTong ZhuMichael S. Hurlburt
- Topics
- Air Quality and Health Impacts (11 papers)Climate Change and Health Impacts (9 papers)Energy and Environment Impacts (5 papers)
- Journals
- NatureThe Science of The Total EnvironmentAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hao Yin
19 papers receiving 455 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Health, Toxicology and Mutagenesis 258
- General Health Professions 81
- Environmental Engineering 77
- Economics and Econometrics 51
- Physiology 43
Countries citing papers authored by Hao Yin
This map shows the geographic impact of Hao Yin'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 Hao Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yin more than expected).
Fields of papers citing papers by Hao Yin
This network shows the impact of papers produced by Hao Yin. 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 Hao Yin. The network helps show where Hao Yin may publish in the future.
Co-authorship network of co-authors of Hao Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yin. A scholar is included among the top collaborators of Hao Yin 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 Hao Yin. Hao Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Global supply chains amplify economic costs of future extreme heat riskbreakdown → | 74 |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 41 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 93 | |
| 11 | 32 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 14 | |
| 16 | 29 | |
| 17 | 76 | |
| 18 | 14 | |
| 19 | Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II | 1 |
| 20 | 4 |
About Hao Yin
Hao Yin is a scholar working on General Energy, Health, Toxicology and Mutagenesis and Pollution, having authored 23 papers that have together received 468 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (11 papers), Climate Change and Health Impacts (9 papers) and Energy and Environment Impacts (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (258 citations), Environmental Engineering (77 citations) and Health (35 citations). Hao Yin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rob McConnell, Zhu Liu, Xiaolong Tang, Sam J. Silva, Lawrence A. Palinkas, Erika Garcia, Tong Zhu, Michael S. Hurlburt, Xiao Tang and Frederick Lurmann. Their work appears in journals such as Nature, The Science of The Total Environment and American Journal of Respiratory and Critical Care Medicine.
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.