Jonathan Wang

3.5k total citations
73 papers, 2.0k citations indexed

About

Jonathan Wang is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Jonathan Wang has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 16 papers in Atmospheric Science and 10 papers in Environmental Engineering. Recurrent topics in Jonathan Wang's work include Fire effects on ecosystems (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Climate change and permafrost (9 papers). Jonathan Wang is often cited by papers focused on Fire effects on ecosystems (12 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Climate change and permafrost (9 papers). Jonathan Wang collaborates with scholars based in United States, Canada and China. Jonathan Wang's co-authors include M. A. Friedl, Lucy R. Hutyra, Eun Ji Chung, E. K. Melaas, Crystal Schaaf, Yi Huang, Carmay Lim, Todor Dudev, James T. Randerson and Curtis E. Woodcock and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Jonathan Wang

66 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Wang United States 25 883 495 422 374 301 73 2.0k
Wenjuan Li China 30 798 0.9× 643 1.3× 337 0.8× 1.1k 2.9× 195 0.6× 134 2.8k
Zhen Zhang China 34 1.7k 1.9× 322 0.7× 761 1.8× 833 2.2× 119 0.4× 194 3.9k
Shaoliang Zhang China 30 666 0.8× 347 0.7× 132 0.3× 472 1.3× 297 1.0× 121 2.7k
Linlin Lu China 35 1.9k 2.2× 1.1k 2.2× 672 1.6× 1.1k 2.9× 452 1.5× 119 3.4k
Dexiang Wang China 28 516 0.6× 195 0.4× 201 0.5× 400 1.1× 270 0.9× 213 2.8k
Mingyue Liu China 29 571 0.6× 294 0.6× 199 0.5× 769 2.1× 124 0.4× 95 2.6k
Shixin Wang China 29 1.2k 1.3× 373 0.8× 385 0.9× 376 1.0× 164 0.5× 187 2.4k
Xinjie Liu China 33 1.6k 1.8× 445 0.9× 318 0.8× 1.6k 4.4× 85 0.3× 147 3.6k
Xingong Li China 30 745 0.8× 218 0.4× 685 1.6× 297 0.8× 61 0.2× 199 3.2k
Yihang Zhang China 26 858 1.0× 687 1.4× 404 1.0× 987 2.6× 52 0.2× 107 2.9k

Countries citing papers authored by Jonathan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Wang. A scholar is included among the top collaborators of Jonathan 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 Jonathan Wang. Jonathan 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
2.
Randerson, James T., Yue Li, Weiwei Fu, et al.. (2025). The weak land carbon sink hypothesis. Science Advances. 11(37). eadr5489–eadr5489.
3.
Haya, Barbara, Christa M. Anderson, Grayson Badgley, et al.. (2024). Funding forests’ climate potential without carbon offsets. One Earth. 7(7). 1147–1150. 5 indexed citations
4.
Wang, Jonathan, et al.. (2024). Wildfire‐induced increases in photosynthesis in boreal forest ecosystems of North America. Global Change Biology. 30(1). e17151–e17151. 11 indexed citations
5.
Murray‐Tortarolo, Guillermo N., Alma Mendoza‐Ponce, Amparo Arroyo, et al.. (2024). A Greenhouse Gas Budget for Mexico During 2000–2019. Journal of Geophysical Research Biogeosciences. 129(1).
6.
Liu, Hanzhi, et al.. (2024). Certifying Zero-Knowledge Circuits with Refinement Types. 1741–1759. 1 indexed citations
7.
Sonnentag, Oliver, et al.. (2023). Oil and natural gas wells across the NASA ABoVE domain: fugitive methane emissions and broader environmental impacts. Environmental Research Letters. 18(3). 35008–35008. 10 indexed citations
8.
Qu, Sai, Youngryel Ryu, Jiangong Liu, & Jonathan Wang. (2023). Greening rate in North Korea doubles South Korea. Environmental Research Letters. 18(8). 84020–84020. 4 indexed citations
9.
Wang, Jonathan, et al.. (2022). Losses of Tree Cover in California Driven by Increasing Fire Disturbance and Climate Stress. SHILAP Revista de lepidopterología. 3(4). 29 indexed citations
10.
Huang, Cho‐ying, et al.. (2022). Variation of seasonal litterfall in subtropical montane cloud forests to typhoon severity and environmental factors. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Nelson, Peter R., Andrew J. Maguire, Zoe Pierrat, et al.. (2022). Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges. Journal of Geophysical Research Biogeosciences. 127(2). 32 indexed citations
12.
Sakellaridis, Yiannis & Jonathan Wang. (2021). Intersection complexes and unramified 𝐿-factors. Journal of the American Mathematical Society. 35(3). 799–910. 2 indexed citations
13.
Chin, Deborah D., Christopher Poon, Jonathan Wang, et al.. (2021). miR-145 micelles mitigate atherosclerosis by modulating vascular smooth muscle cell phenotype. Biomaterials. 273. 120810–120810. 90 indexed citations
14.
Miles, N. L., K. J. Davis, Scott J. Richardson, et al.. (2021). The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX). Carbon Balance and Management. 16(1). 4–4. 10 indexed citations
15.
Huang, Yi, et al.. (2021). Improving kidney targeting: The influence of nanoparticle physicochemical properties on kidney interactions. Journal of Controlled Release. 334. 127–137. 122 indexed citations
16.
Lauvaux, Thomas, K. R. Gurney, N. L. Miles, et al.. (2020). Policy-Relevant Assessment of Urban CO2 Emissions. Environmental Science & Technology. 54(16). 10237–10245. 72 indexed citations
17.
Zhang, Ailin, Chun‐Peng Liao, Christopher Poon, et al.. (2020). CCR2-targeted micelles for anti-cancer peptide delivery and immune stimulation. Journal of Controlled Release. 329. 614–623. 33 indexed citations
18.
Sofowote, Uwayemi M., Robert M. Healy, Jerzy Debosz, et al.. (2019). Heavy metals in the near-road environment: Results of semi-continuous monitoring of ambient particulate matter in the greater Toronto and Hamilton area. Atmospheric Environment X. 1. 100005–100005. 36 indexed citations
19.
Ricco, Antonio J., et al.. (2018). SPLIce: A Microfluidic Sample Processor to Enable the Search for Life on Icy Worlds. 42.
20.
Trlica, Andrew, Lucy R. Hutyra, Crystal Schaaf, Angela Erb, & Jonathan Wang. (2017). Albedo, Land Cover, and Daytime Surface Temperature Variation Across an Urbanized Landscape. Earth s Future. 5(11). 1084–1101. 107 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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