Jing Wang

11.6k total citations · 4 hit papers
390 papers, 8.8k citations indexed

About

Jing Wang is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change. According to data from OpenAlex, Jing Wang has authored 390 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Plant Science, 93 papers in Ecology, Evolution, Behavior and Systematics and 63 papers in Global and Planetary Change. Recurrent topics in Jing Wang's work include Climate change impacts on agriculture (63 papers), Plant Water Relations and Carbon Dynamics (32 papers) and Crop Yield and Soil Fertility (31 papers). Jing Wang is often cited by papers focused on Climate change impacts on agriculture (63 papers), Plant Water Relations and Carbon Dynamics (32 papers) and Crop Yield and Soil Fertility (31 papers). Jing Wang collaborates with scholars based in China, Australia and United States. Jing Wang's co-authors include Enli Wang, Xiaoguang Yang, George E. Harlow, Guanghai Shi, Jun Wang, Qiuli Li, Xian‐Hua Li, David A. Grimaldi, Hong Yin and Qiang Yu and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Jing Wang

360 papers receiving 8.6k citations

Hit Papers

Age constraint on Burmese amber based on U–Pb dating of z... 2012 2026 2016 2021 2012 2019 2020 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Wang China 44 3.3k 3.1k 1.5k 1.3k 1.2k 390 8.8k
William D. Batchelor United States 37 4.6k 1.4× 2.8k 0.9× 1.5k 1.0× 2.0k 1.6× 1.8k 1.5× 163 8.2k
Jeffrey W. White United States 46 4.5k 1.4× 1.9k 0.6× 1.2k 0.8× 945 0.7× 1.4k 1.2× 161 6.5k
Toshihiro Hasegawa Japan 44 4.5k 1.4× 1.6k 0.5× 1.6k 1.0× 1.4k 1.0× 615 0.5× 226 6.8k
José Luiz Stape Brazil 17 3.0k 0.9× 1.4k 0.4× 2.0k 1.3× 2.4k 1.8× 708 0.6× 37 9.5k
Clayton Alcarde Álvares Brazil 27 3.3k 1.0× 1.4k 0.5× 2.3k 1.5× 2.5k 1.9× 711 0.6× 87 10.5k
Andreas Buerkert Germany 44 2.8k 0.8× 1.2k 0.4× 1.3k 0.9× 1.7k 1.3× 989 0.8× 311 7.2k
David Makowski France 53 4.3k 1.3× 1.9k 0.6× 1.6k 1.0× 1.9k 1.4× 3.1k 2.5× 216 9.4k
Iván Ortiz‐Monasterio Mexico 45 5.4k 1.6× 1.3k 0.4× 994 0.7× 2.1k 1.6× 1.6k 1.3× 100 7.9k
Lewis H. Ziska United States 51 5.8k 1.7× 2.0k 0.7× 2.1k 1.4× 782 0.6× 666 0.6× 144 8.8k
Paulo César Sentelhas Brazil 39 5.8k 1.7× 2.2k 0.7× 3.1k 2.0× 3.4k 2.6× 1.4k 1.1× 194 13.7k

Countries citing papers authored by Jing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wang. A scholar is included among the top collaborators of Jing 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 Jing Wang. Jing 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.
Zhang, Dongmei, Ling Han, Di Wang, et al.. (2025). Neuroprotective mechanisms of valproic acid and alpha-lipoic acid in ALS: a network pharmacology-based investigation. Frontiers in Pharmacology. 16. 1681929–1681929. 1 indexed citations
2.
Li, Qingye & Jing Wang. (2025). The Application and Mechanism Analysis of Enteral Nutrition in Clinical Management of Chronic Diseases. Nutrients. 17(3). 450–450. 3 indexed citations
3.
Zhao, Jinxi, Yanyu Hu, Jing Wang, et al.. (2024). Greenhouse gas emissions from the growing season are regulated by precipitation events in conservation tillage farmland ecosystems of Northeast China. The Science of The Total Environment. 948. 174716–174716. 7 indexed citations
4.
Zhang, Haitao, Jing Wang, Xia Meng, et al.. (2024). Parathyroid hormone mediates the adverse impact of air pollution exposure on serum 25-hydroxyvitamin D: A nationwide cross-sectional study in China. Environmental Research. 263(Pt 2). 120063–120063.
5.
Chen, Renwei, et al.. (2024). Flowering delay in apple could alleviate frost-induced yield loss under climate change in China. Agricultural and Forest Meteorology. 360. 110313–110313. 3 indexed citations
6.
Wang, Jing, et al.. (2024). Short- and long-term prediction models of rubber tree powdery mildew disease index based on meteorological variables and climate system indices. Agricultural and Forest Meteorology. 354. 110082–110082. 5 indexed citations
7.
Wang, Jing, et al.. (2024). Fine-scale spatiotemporal earthquake casualty risk assessment considering building function types. International Journal of Disaster Risk Reduction. 112. 104806–104806. 3 indexed citations
8.
Li, Yang, Jing Wang, Peijuan Wang, et al.. (2024). Identifying the key meteorological factors to marketable tuber rate of potato: A 5-year field experiment in North China. Field Crops Research. 317. 109554–109554.
10.
Liu, Hong, Guohao Han, Jinpeng Zhang, et al.. (2024). A rare natural variation in TaFT-D2 underlies QTss.cas-3D associated with increased total spikelet number per spike in wheat. The Crop Journal. 12(6). 1727–1734. 3 indexed citations
11.
Yang, Le, Jing Wang, Zhang Kang, et al.. (2024). Temporal dynamics of rhizosphere bacterial community in the Robinia pseudoacacia–Mesorhizobium loti symbiotic system for remediation of cadmium-contaminated soils. Applied Soil Ecology. 198. 105375–105375. 8 indexed citations
12.
Shen, Zhongyuan, Kaikun Luo, Shao Li-ming, et al.. (2024). Study on mate choice in animals. SHILAP Revista de lepidopterología. 4(3). 120–125. 1 indexed citations
13.
Li, Huawei, Yang Liu, Chunsheng Yao, et al.. (2023). Facilitating winter wheat sustainable intensification: Effects of two limited carbon-emission cultivation patterns in China's Huang-Huai-Hai Region. Agriculture Ecosystems & Environment. 358. 108706–108706. 4 indexed citations
14.
Peng, Yaqi, et al.. (2022). Phosphoenolpyruvate reallocation links nitrogen fixation rates to root nodule energy state. Science. 378(6623). 971–977. 45 indexed citations
15.
Wu, Kun, Shuansuo Wang, Wenzhen Song, et al.. (2020). Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in rice. Science. 367(6478). 313 indexed citations breakdown →
17.
Liu, Zhijuan, et al.. (2018). [Spatial-temporal variations of spring maize potential yields in a changing climate in Northeast China.]. PubMed. 29(1). 103–112. 3 indexed citations
19.
Wang, Jing, Tianbao Zhao, Enli Wang, et al.. (2010). Measurement and simulation of diurnal variations in water use efficiency and radiation use efficiency in an irrigated wheat‐maize field in the North China Plain. New Zealand Journal of Crop and Horticultural Science. 38(2). 119–135. 10 indexed citations
20.
Wang, Jing, et al.. (2005). EFFECTS OF ARSENIC ON GROWTH AND PHOTOSYNTHESIS OF CYANOBACTERIA. Acta Hydrobiologica Sinica. 29(2). 230–232. 1 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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