Kailiang Yu

5.2k total citations · 2 hit papers
79 papers, 3.3k citations indexed

About

Kailiang Yu is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Kailiang Yu has authored 79 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 27 papers in Nature and Landscape Conservation and 23 papers in Plant Science. Recurrent topics in Kailiang Yu's work include Plant Water Relations and Carbon Dynamics (36 papers), Ecology and Vegetation Dynamics Studies (26 papers) and Tree-ring climate responses (10 papers). Kailiang Yu is often cited by papers focused on Plant Water Relations and Carbon Dynamics (36 papers), Ecology and Vegetation Dynamics Studies (26 papers) and Tree-ring climate responses (10 papers). Kailiang Yu collaborates with scholars based in United States, China and Switzerland. Kailiang Yu's co-authors include Paolo D’Odorico, Thomas W. Crowther, Gabriele Manoli, William R. L. Anderegg, Markus Schläpfer, Simone Fatichi, Gabriel G. Katul, Paolo Burlando, Naika Meili and Elie Bou‐Zeid and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Kailiang Yu

76 papers receiving 3.2k citations

Hit Papers

Magnitude of urban heat islands largely explained by clim... 2018 2026 2020 2023 2019 2018 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kailiang Yu United States 28 1.8k 897 698 607 560 79 3.3k
Rüdiger Grote Germany 39 2.4k 1.3× 662 0.7× 1.5k 2.2× 1.2k 1.9× 758 1.4× 100 4.3k
Fei Lu China 28 2.2k 1.2× 532 0.6× 327 0.5× 379 0.6× 410 0.7× 67 4.0k
Rich Pouyat United States 14 2.1k 1.1× 914 1.0× 223 0.3× 636 1.0× 1.2k 2.2× 19 4.0k
Constantin M. Zohner Switzerland 26 2.3k 1.2× 488 0.5× 566 0.8× 1.1k 1.8× 261 0.5× 63 4.0k
Andreas Heinemeyer United Kingdom 31 2.3k 1.3× 370 0.4× 317 0.5× 854 1.4× 505 0.9× 59 4.2k
Joe R. McBride United States 26 1.4k 0.8× 525 0.6× 389 0.6× 734 1.2× 1.0k 1.8× 76 2.6k
Pavel Cudlín Czechia 28 946 0.5× 284 0.3× 379 0.5× 444 0.7× 289 0.5× 146 2.5k
Jennifer C. Jenkins United States 25 3.1k 1.7× 1.0k 1.2× 504 0.7× 2.0k 3.4× 326 0.6× 40 4.9k
Rajiv Kumar Chaturvedi India 18 2.3k 1.2× 406 0.5× 672 1.0× 440 0.7× 154 0.3× 48 3.2k
Weixing Zhu United States 33 1.3k 0.7× 362 0.4× 318 0.5× 791 1.3× 622 1.1× 99 4.2k

Countries citing papers authored by Kailiang Yu

Since Specialization
Citations

This map shows the geographic impact of Kailiang Yu'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 Kailiang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailiang Yu more than expected).

Fields of papers citing papers by Kailiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kailiang Yu. 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 Kailiang Yu. The network helps show where Kailiang Yu may publish in the future.

Co-authorship network of co-authors of Kailiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kailiang Yu. A scholar is included among the top collaborators of Kailiang Yu 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 Kailiang Yu. Kailiang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brandt, Martin, Li Zhang, Xiaowei Tong, et al.. (2026). Enhanced forest management rather than afforestation has dominated China’s carbon sink over recent decades. Communications Earth & Environment. 7(1).
2.
Yao, Guang‐Qian, Xiangling Fang, Kailiang Yu, et al.. (2025). Stomatal‐based immunity differentiation across vascular plant lineages. New Phytologist. 246(3). 1183–1197. 2 indexed citations
3.
Yu, Xiaoyu, Rui Xiao, Zhonghao Zhang, et al.. (2025). Rising disparities in grain self-sufficiency across China: Provincial divergence amidst overall national improvement. Environmental Impact Assessment Review. 114. 107942–107942. 3 indexed citations
4.
Zhang, Baolei, Qian Zhang, Chunlin Li, et al.. (2025). Global urbanization indirectly ‘enhances’ the carbon sequestration capacity of urban vegetation. Geography and sustainability. 6(3). 100268–100268. 9 indexed citations
5.
Yu, Kailiang, Paolo D’Odorico, Ana Novoa, et al.. (2024). Potential expansion of plants with crassulacean acid metabolism in the Anthropocene. BioScience. 74(7). 478–487. 4 indexed citations
6.
Liu, Xiaorong, Kailiang Yu, Hui Liu, et al.. (2024). Contrasting drought tolerance traits of woody plants is associated with mycorrhizal types at the global scale. New Phytologist. 244(5). 2024–2035. 4 indexed citations
7.
Tian, Lei, Xiaohui Song, Kailiang Yu, et al.. (2024). Climate warming advances plant reproductive phenology in China’s northern grasslands. Journal of Plant Ecology. 17(6). 3 indexed citations
8.
Yu, Kailiang, Philippe Ciais, A. Anthony Bloom, et al.. (2023). Biogeographic pattern of living vegetation carbon turnover time in mature forests across continents. Global Ecology and Biogeography. 32(10). 1803–1813. 1 indexed citations
9.
Li, Hailing, César Terrer, Miguel Berdugo, et al.. (2023). Nitrogen addition delays the emergence of an aridity-induced threshold for plant biomass. National Science Review. 10(11). nwad242–nwad242. 19 indexed citations
10.
Jin, Ying, Guang‐You Hao, William M. Hammond, et al.. (2023). Aridity‐dependent sequence of water potentials for stomatal closure and hydraulic dysfunctions in woody plants. Global Change Biology. 29(7). 2030–2040. 28 indexed citations
11.
Yu, Kailiang, et al.. (2023). Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis. Soil Biology and Biochemistry. 188. 109214–109214. 8 indexed citations
12.
Ren, Chengjie, Fei Mo, Zhenghu Zhou, et al.. (2022). The global biogeography of soil priming effect intensity. Global Ecology and Biogeography. 31(8). 1679–1687. 31 indexed citations
13.
Chen, Ning, et al.. (2020). Biocrust as one of multiple stable states in global drylands. Science Advances. 6(39). 69 indexed citations
14.
Hammond, William M., et al.. (2019). Dead or dying? Quantifying the point of no return from hydraulic failure in drought‐induced tree mortality. New Phytologist. 223(4). 1834–1843. 215 indexed citations
15.
Kulmatiski, Andrew, Kailiang Yu, D. S. Mackay, et al.. (2019). Forecasting semi‐arid biome shifts in the Anthropocene. New Phytologist. 226(2). 351–361. 6 indexed citations
16.
Chen, Ning, Zak Ratajczak, & Kailiang Yu. (2019). A dryland re‐vegetation in northern China: Success or failure? Quick transitions or long lags?. Ecosphere. 10(4). 10 indexed citations
17.
Jia, Rongliang, Ning Chen, Kailiang Yu, & Changming Zhao. (2018). High rainfall frequency promotes the dominance of biocrust under low annual rainfall. Plant and Soil. 435(1-2). 257–275. 11 indexed citations
18.
Yan, Hao, Kailiang Yu, Bin Wang, et al.. (2017). A Novel Diffuse Fraction‐Based Two‐Leaf Light Use Efficiency Model: An Application Quantifying Photosynthetic Seasonality across 20 AmeriFlux Flux Tower Sites. Journal of Advances in Modeling Earth Systems. 9(6). 2317–2332. 35 indexed citations
19.
Li, Honglin, et al.. (2016). Structural, compositional and trait differences between the mature and the swamp meadow communities. Journal of Plant Ecology. 11(1). 158–167. 5 indexed citations
20.
Yu, Kailiang, et al.. (1994). Preloading Organic Soils to Limit Future Settlements. 476–490. 3 indexed citations

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.

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