Lianhong Gu
- Global and Planetary Change top 0.1%
- Ecology top 0.5%
- Plant Science top 0.5%
- Atmospheric Science top 0.5%
- Environmental Engineering top 1%
- Co-authors
- Dennis BaldocchiYing SunStephen G. PallardyW. M. PostJosé D. FuentesPaul J. HansonEva FalgeJeffrey D. Wood
- Topics
- Plant Water Relations and Carbon Dynamics (79 papers)Plant responses to elevated CO2 (35 papers)Atmospheric and Environmental Gas Dynamics (32 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Lianhong Gu
130 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Global and Planetary Change 6.7k
- Ecology 3.0k
- Plant Science 2.8k
- Atmospheric Science 2.7k
- Environmental Engineering 903
Countries citing papers authored by Lianhong Gu
This map shows the geographic impact of Lianhong Gu'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 Lianhong Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianhong Gu more than expected).
Fields of papers citing papers by Lianhong Gu
This network shows the impact of papers produced by Lianhong Gu. 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 Lianhong Gu. The network helps show where Lianhong Gu may publish in the future.
Co-authorship network of co-authors of Lianhong Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Lianhong Gu. A scholar is included among the top collaborators of Lianhong Gu 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 Lianhong Gu. Lianhong Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 48 | |
| 7 | 72 | |
| 8 | 69 | |
| 9 | 3 | |
| 10 | 33 | |
| 11 | 7 | |
| 12 | 108 | |
| 13 | 14 | |
| 14 | 109 | |
| 15 | 99 | |
| 16 | 80 | |
| 17 | 8 | |
| 18 | 115 | |
| 19 | Impact of Mesophyll Diffusion on Estimated Global Land CO 2 Fertilization | 6 |
| 20 | Estimates of terrestrial carbon cycle model parameters by assimilation of FLUXNET data: Do parameter variations cause bias in regional flux estimates? | 2 |
About Lianhong Gu
Lianhong Gu is a scholar working on Global and Planetary Change, Atmospheric Science and Plant Science, having authored 132 papers that have together received 9.2k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (79 papers), Plant responses to elevated CO2 (35 papers) and Atmospheric and Environmental Gas Dynamics (32 papers). The work is most often cited by research in Global and Planetary Change (6.7k citations), Atmospheric Science (2.7k citations) and Ecology (3.0k citations). Lianhong Gu has collaborated with scholars based in United States, China and France. Frequent co-authors include Dennis Baldocchi, Ying Sun, Stephen G. Pallardy, W. M. Post, José D. Fuentes, Paul J. Hanson, Eva Falge, Jeffrey D. Wood, Stan D. Wullschleger and Bai Yang. 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.