Tongli Wang

11.3k total citations · 3 hit papers
151 papers, 8.4k citations indexed

About

Tongli Wang is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Global and Planetary Change. According to data from OpenAlex, Tongli Wang has authored 151 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Nature and Landscape Conservation, 50 papers in Ecological Modeling and 42 papers in Global and Planetary Change. Recurrent topics in Tongli Wang's work include Species Distribution and Climate Change (50 papers), Ecology and Vegetation Dynamics Studies (35 papers) and Forest ecology and management (35 papers). Tongli Wang is often cited by papers focused on Species Distribution and Climate Change (50 papers), Ecology and Vegetation Dynamics Studies (35 papers) and Forest ecology and management (35 papers). Tongli Wang collaborates with scholars based in Canada, China and United States. Tongli Wang's co-authors include Andreas Hamann, Sally N. Aitken, Jason A. Holliday, Sam Yeaman, Dave Spittlehouse, Gregory A. O’Neill, Carlos Carroll, David L. Spittlehouse, Trevor Q. Murdock and Guangyu Wang and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tongli Wang

142 papers receiving 8.1k citations

Hit Papers

Adaptation, migration or extirpation: climate change outc... 2008 2026 2014 2020 2008 2016 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongli Wang Canada 40 3.6k 3.3k 2.4k 2.4k 1.5k 151 8.4k
Andreas Hamann Canada 46 3.7k 1.0× 3.6k 1.1× 2.1k 0.9× 2.1k 0.9× 1.8k 1.2× 129 7.6k
Zhiheng Wang China 46 3.1k 0.9× 2.0k 0.6× 1.9k 0.8× 2.4k 1.0× 905 0.6× 214 8.6k
Anke Jentsch Germany 46 3.4k 1.0× 3.5k 1.1× 1.4k 0.6× 2.5k 1.0× 1.2k 0.8× 182 8.2k
Zhiyao Tang China 50 4.4k 1.2× 3.5k 1.1× 1.5k 0.6× 2.6k 1.1× 968 0.7× 237 9.4k
Adrienne B. Nicotra Australia 44 4.3k 1.2× 2.8k 0.8× 1.4k 0.6× 1.9k 0.8× 749 0.5× 125 9.4k
Jüergen Kreyling Germany 49 2.8k 0.8× 3.1k 0.9× 1.1k 0.5× 2.1k 0.9× 1.6k 1.1× 136 7.1k
Gregory J. Jordan Australia 50 3.1k 0.9× 3.0k 0.9× 813 0.3× 1.3k 0.6× 1.4k 1.0× 224 9.2k
Daniel S. Falster Australia 32 7.5k 2.1× 4.7k 1.4× 1.3k 0.6× 2.6k 1.1× 999 0.7× 72 12.4k
Adrián Escudero Spain 54 5.5k 1.5× 2.5k 0.8× 1.2k 0.5× 2.1k 0.9× 780 0.5× 307 10.3k
Jens Kattge Germany 64 5.4k 1.5× 7.4k 2.3× 1.6k 0.7× 3.8k 1.6× 2.1k 1.4× 151 14.3k

Countries citing papers authored by Tongli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tongli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tongli Wang. A scholar is included among the top collaborators of Tongli Wang 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 Tongli Wang. Tongli Wang 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.
Yan, Bin, et al.. (2025). A multi-stage protocol for indirect somatic embryogenesis and plantlet regeneration from leaf explants of Quercus chungii. Industrial Crops and Products. 236. 121842–121842.
2.
Coops, Nicholas C., et al.. (2025). Capturing constraints on boreal gross primary productivity using the remote sensing-based CAN-TG model.. Ecological Informatics. 87. 103108–103108.
3.
Guo, Zhihong, Shuang Ma, Ni Yang, et al.. (2025). Altitudinal influences on soil microbial diversity: The pivotal role of plant functional composition in shaping bacterial and fungal communities. Forest Ecology and Management. 586. 122728–122728. 2 indexed citations
4.
Zhang, Zijie, et al.. (2025). Metal and non-metal nanoparticles differentially regulate flavonoid accumulation in Cyclocarya paliurus: A multi-omics analysis. Industrial Crops and Products. 236. 122023–122023. 1 indexed citations
5.
Xu, Wenhuan, Anil Shrestha, Guangyu Wang, & Tongli Wang. (2024). Site-based climate-smart tree species selection for forestation under climate change. 1(2). 100019–100019. 5 indexed citations
6.
Yang, Fan, et al.. (2024). Impact of road infrastructure on wildlife corridors in Hainan rainforests. Transportation Research Part D Transport and Environment. 139. 104539–104539. 4 indexed citations
7.
Yan, Ke, Yuanhui Li, Xiangfu Wang, et al.. (2024). Effects of the Implementation Intensity of Ecological Engineering on Ecosystem Service Tradeoffs in Qinghai Province, China. Land. 13(6). 848–848. 2 indexed citations
9.
O’Neill, Gregory A., et al.. (2024). Population-specific climate sensitive top height curves and their applications to assisted migration. European Journal of Forest Research. 143(5). 1349–1364.
10.
Guo, Jing, Wei Xu, Lei Feng, et al.. (2023). Sex-Related Differences of Ginkgo biloba in Growth Traits and Wood Properties. Forests. 14(9). 1809–1809. 3 indexed citations
11.
Wang, Tongli, et al.. (2022). Predicting temperature and rainfall for plantation forestry in Mpumalanga, South Africa, using locally developed climate models. Agricultural and Forest Meteorology. 329. 109275–109275. 4 indexed citations
12.
Wang, Tongli, et al.. (2022). Adaptation to climate change through seasonal migration revealed by climatic versus demographic niche models. Global Change Biology. 28(14). 4260–4275. 6 indexed citations
13.
Li, Ching‐Feng, et al.. (2020). Climate‐based approach for modeling the distribution of montane forest vegetation in Taiwan. Applied Vegetation Science. 23(2). 239–253. 10 indexed citations
14.
Mahony, Colin, Ian MacLachlan, Brandon M. Lind, et al.. (2019). Evaluating genomic data for management of local adaptation in a changing climate: A lodgepole pine case study. Evolutionary Applications. 13(1). 116–131. 63 indexed citations
15.
Guo, Ying, Jing Guo, Xin Shen, Guibin Wang, & Tongli Wang. (2019). Predicting the Bioclimatic Habitat Suitability of Ginkgo biloba L. in China with Field-Test Validations. Forests. 10(8). 705–705. 32 indexed citations
16.
Hu, Jer‐Ming, et al.. (2018). A dynamic downscaling approach to generate scale-free regional climate data in Taiwan. SHILAP Revista de lepidopterología. 12 indexed citations
17.
18.
Wang, Guangyu, et al.. (2015). Climate Change and Forest Adaptation in the Asia-Pacific. 73–109. 3 indexed citations
19.
Mitchell, A., et al.. (2005). Some Observations on the Columnar-to-Equiaxed Transition in Nickel- base Superalloys. High Temperature Materials and Processes. 24(2). 131–138. 2 indexed citations
20.
Wang, Tongli, et al.. (2000). Selection for improved growth and wood density in lodgepole pine: effects on radial patterns of wood variation.. Wood and Fiber Science. 32(4). 391–403. 23 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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