Jin Zhao

2.2k total citations
61 papers, 1.4k citations indexed

About

Jin Zhao is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Jin Zhao has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, Evolution, Behavior and Systematics, 39 papers in Plant Science and 28 papers in Agronomy and Crop Science. Recurrent topics in Jin Zhao's work include Climate change impacts on agriculture (38 papers), Crop Yield and Soil Fertility (24 papers) and Rice Cultivation and Yield Improvement (12 papers). Jin Zhao is often cited by papers focused on Climate change impacts on agriculture (38 papers), Crop Yield and Soil Fertility (24 papers) and Rice Cultivation and Yield Improvement (12 papers). Jin Zhao collaborates with scholars based in China, United States and Denmark. Jin Zhao's co-authors include Xiaoguang Yang, Zhijuan Liu, Shuo Lv, Shuang Sun, Johannes Wilhelmus Maria Pullens, Jing Wang, Xiaomao Lin, Kenan Li, Shuwei Dai and Anming Bao and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Jin Zhao

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Zhao China	21	771	578	442	342	295	61	1.4k
M. Inés Mínguez Spain	21	878 1.1×	498 0.9×	349 0.8×	391 1.1×	174 0.6×	37	1.4k
Brendan Christy Australia	15	599 0.8×	372 0.6×	428 1.0×	320 0.9×	119 0.4×	40	1.2k
Qunying Luo Australia	20	812 1.1×	801 1.4×	240 0.5×	657 1.9×	157 0.5×	38	1.5k
David Gobbett Australia	17	572 0.7×	445 0.8×	313 0.7×	254 0.7×	266 0.9×	33	1.1k
Don Ort United States	2	659 0.9×	436 0.8×	216 0.5×	294 0.9×	117 0.4×	3	1.1k
Qingquan Chu China	19	424 0.5×	283 0.5×	202 0.5×	238 0.7×	203 0.7×	57	996
Noah Braun United States	6	553 0.7×	397 0.7×	226 0.5×	342 1.0×	116 0.4×	8	995
Dingrong Wu China	17	447 0.6×	420 0.7×	152 0.3×	419 1.2×	207 0.7×	43	1.0k
Yanling Song China	15	473 0.6×	237 0.4×	258 0.6×	326 1.0×	113 0.4×	38	949
Belay T. Kassie United States	14	518 0.7×	562 1.0×	273 0.6×	299 0.9×	75 0.3×	17	1.0k

Countries citing papers authored by Jin Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Jin Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tack, Jesse, G. J. Kluitenberg, M.B. Kirkham, et al.. (2025). Concurrent improvements in maize yield and drought resistance through breeding advances in the U.S.Corn Belt. Nature Communications. 16(1). 9389–9389.

Feng, Xiaolong, et al.. (2025). Impact of climate change on farmers’ crop production in China: a panel Ricardian analysis. Humanities and Social Sciences Communications. 12(1). 4 indexed citations

Shen, Yixiao, Yuan Qi, Lingyu Li, et al.. (2025). Structural interactions and mechanisms of amylose and amylopectin binding with cyanidin-3-O-glucoside. International Journal of Biological Macromolecules. 306(Pt 3). 141766–141766. 4 indexed citations

Zhao, Chuang, Senthold Asseng, Xuhui Wang, et al.. (2025). Potential expansion of wheat planting areas driven by climate warming offsets yield losses and enhances global production. One Earth. 9(1). 101464–101464.

Zhao, Jin, et al.. (2025). Temporal–Spatial Patterns of the Water Deficit in the Main Maize-Cropping Regions of China. Agronomy. 15(3). 728–728. 2 indexed citations

Zhao, Jin, Zhentao Zhang, Chuang Zhao, et al.. (2024). Dissecting the vital role of dietary changes in food security assessment under climate change. Communications Earth & Environment. 5(1). 5 indexed citations

Zhao, Jin, Zhijuan Liu, Shuo Lv, et al.. (2023). Changing maize hybrids helps adapt to climate change in Northeast China: revealed by field experiment and crop modelling. Agricultural and Forest Meteorology. 342. 109693–109693. 13 indexed citations

Zhao, Jin, et al.. (2023). WheatSM V5.0: A Python-Based Wheat Growth and Development Simulation Model with Cloud Services Integration to Enhance Agricultural Applications. Agronomy. 13(9). 2411–2411.

Zhao, Jin, et al.. (2023). Effects of Changing Climate Extremes on Maize Grain Yield in Northeast China. Agronomy. 13(4). 1050–1050. 9 indexed citations

10.

Zhang, Zhentao, Shuang Sun, Zhijuan Liu, et al.. (2022). Using estimated radiation in crop models amplified the negative impacts of climate variability on maize and winter wheat yields in China. Agricultural and Forest Meteorology. 318. 108914–108914. 12 indexed citations

11.

Zhang, Zhentao, Xi Wang, Wenjing Zhang, et al.. (2022). Impacts of mean climate and extreme climate indices on soybean yield and yield components in Northeast China. The Science of The Total Environment. 838(Pt 3). 156284–156284. 46 indexed citations

12.

Harrison, Matthew Tom, Rowan Eisner, Peter de Voil, et al.. (2022). Whole farm planning raises profit despite burgeoning climate crisis. Scientific Reports. 12(1). 17188–17188. 10 indexed citations

13.

Zhang, Zhentao, Tao Li, Chuang Zhao, et al.. (2022). 20% of uncertainty in yield estimates could be caused by the radiation source. The Science of The Total Environment. 838(Pt 1). 156015–156015. 7 indexed citations

14.

Zhao, Jin, Chiara De Notaris, & Jørgen E. Olesen. (2019). Autumn-based vegetation indices for estimating nitrate leaching during autumn and winter in arable cropping systems. Agriculture Ecosystems & Environment. 290. 106786–106786. 27 indexed citations

15.

Zhao, Jin, Qingwu Xue, Kirk E. Jessup, et al.. (2017). Yield and water use of drought-tolerant maize hybrids in a semiarid environment. Field Crops Research. 216. 1–9. 55 indexed citations

16.

Zhao, Jin, Dehai Zhang, Zhenzhan Wang, & Yun Li. (2016). The validation of HY-2A ACMR retrieval algorithms and product. 411–413. 6 indexed citations

17.

Zhang, Dehai, et al.. (2015). Preliminary analysis of HY-2 ACMR data. 177–180. 7 indexed citations

18.

Zhao, Jin, et al.. (2014). Synthesis and antifungal activity of 7-methyl-7-hydroxy-2,3-benzo[c]octa-1,6-olide. Journal of Asian Natural Products Research. 16(3). 312–317. 9 indexed citations

19.

Yi, Qiuxiang, Anming Bao, Qiang Wang, & Jin Zhao. (2012). Estimation of leaf water content in cotton by means of hyperspectral indices. Computers and Electronics in Agriculture. 90. 144–151. 72 indexed citations

20.

Wang, Zhenzhan, et al.. (2010). Prelaunch calibration of Chang'E-2 Lunar Microwave radiometer. 1551–1554. 10 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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