Shilong Piao
- Global and Planetary Change top 0.01%
- Ecology top 0.01%
- Atmospheric Science top 0.01%
- Nature and Landscape Conservation top 0.02%
- Environmental Engineering top 0.01%
- Co-authors
- Philippe CiaisJingyun FangXuhui WangAnping ChenShushi PengRanga B. MyneniPierre FriedlingsteinIvan A. Janssens
- Topics
- Plant Water Relations and Carbon Dynamics (229 papers)Climate variability and models (154 papers)Remote Sensing in Agriculture (109 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Shilong Piao
491 papers receiving 62.0k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Global and Planetary Change 43.2k
- Ecology 22.8k
- Atmospheric Science 17.3k
- Nature and Landscape Conservation 9.2k
- Environmental Engineering 8.3k
Countries citing papers authored by Shilong Piao
This map shows the geographic impact of Shilong Piao'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 Shilong Piao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilong Piao more than expected).
Fields of papers citing papers by Shilong Piao
This network shows the impact of papers produced by Shilong Piao. 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 Shilong Piao. The network helps show where Shilong Piao may publish in the future.
Co-authorship network of co-authors of Shilong Piao
This figure shows the co-authorship network connecting the top 25 collaborators of Shilong Piao. A scholar is included among the top collaborators of Shilong Piao 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 Shilong Piao. Shilong Piao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | Nature-based Solutions can help restore degraded grasslands and increase carbon sequestration in the Tibetan Plateaubreakdown → | 52 |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 75 | |
| 10 | 26 | |
| 11 | An early warning signal for grassland degradation on the Qinghai-Tibetan Plateaubreakdown → | 112 |
| 12 | 84 | |
| 13 | 17 | |
| 14 | Temporal trade-off between gymnosperm resistance and resilience increases forest sensitivity to extreme droughtbreakdown → | 213 |
| 15 | 15 | |
| 16 | 143 | |
| 17 | 104 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 480 |
About Shilong Piao
Shilong Piao is a scholar working on Global and Planetary Change, Ecological Modeling and Atmospheric Science, having authored 501 papers that have together received 63.3k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (229 papers), Climate variability and models (154 papers) and Remote Sensing in Agriculture (109 papers). The work is most often cited by research in Global and Planetary Change (43.2k citations), Ecological Modeling (6.4k citations) and Atmospheric Science (17.3k citations). Shilong Piao has collaborated with scholars based in China, United States and France. Frequent co-authors include Philippe Ciais, Jingyun Fang, Xuhui Wang, Anping Chen, Shushi Peng, Ranga B. Myneni, Pierre Friedlingstein, Ivan A. Janssens, Zhenzhong Zeng and Liming Zhou. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.