Jichao Yuan

1.2k total citations
35 papers, 925 citations indexed

About

Jichao Yuan is a scholar working on Agronomy and Crop Science, Plant Science and Molecular Biology. According to data from OpenAlex, Jichao Yuan has authored 35 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 10 papers in Plant Science and 8 papers in Molecular Biology. Recurrent topics in Jichao Yuan's work include Crop Yield and Soil Fertility (12 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Jichao Yuan is often cited by papers focused on Crop Yield and Soil Fertility (12 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Jichao Yuan collaborates with scholars based in China, United States and Indonesia. Jichao Yuan's co-authors include Hua Feng, Jiangkai Lin, Haitao Zhu, Weihua Chu, Xin Xiang, Fei Chen, Chen Bian, Chengshi Wang, Fanlei Kong and Hongfei Ge and has published in prestigious journals such as Scientific Reports, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Jichao Yuan

33 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jichao Yuan China 16 295 191 190 185 163 35 925
Kaihua Guo China 20 263 0.9× 203 1.1× 56 0.3× 39 0.2× 67 0.4× 54 907
Lina Zhong China 13 304 1.0× 131 0.7× 112 0.6× 136 0.7× 41 0.3× 17 695
Zhihao Lin China 15 199 0.7× 81 0.4× 115 0.6× 166 0.9× 25 0.2× 40 700
Jun Xiong China 18 331 1.1× 149 0.8× 26 0.1× 215 1.2× 11 0.1× 71 1.1k
Zijian Xiao China 18 320 1.1× 113 0.6× 44 0.2× 120 0.6× 3 0.0× 42 811
Kyung‐Suk Kim South Korea 18 283 1.0× 63 0.3× 83 0.4× 95 0.5× 6 0.0× 49 888
Gürkan Öztürk Türkiye 17 356 1.2× 45 0.2× 44 0.2× 107 0.6× 6 0.0× 65 986
Jun Ying China 20 461 1.6× 147 0.8× 48 0.3× 22 0.1× 3 0.0× 47 1.1k
Yongjie Xiong China 17 225 0.8× 82 0.4× 111 0.6× 44 0.2× 13 0.1× 43 774
Siyuan Huang China 13 273 0.9× 55 0.3× 30 0.2× 163 0.9× 18 0.1× 37 584

Countries citing papers authored by Jichao Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jichao Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jichao Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jichao Yuan. A scholar is included among the top collaborators of Jichao Yuan 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 Jichao Yuan. Jichao Yuan 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.
Wang, Xinglong, et al.. (2025). Post-silking leaf senescence is delayed in low-N-tolerant maize cultivars under low N fertilization. The Crop Journal. 13(1). 246–256. 3 indexed citations
2.
Kong, Fanlei, et al.. (2024). Identification of key enzymes in lignocellulose biosynthesis from dynamic observations in maize stalks. The Crop Journal. 12(6). 1754–1764. 2 indexed citations
3.
Kong, Fanlei, et al.. (2024). Ecological factors regulate stalk lodging within dense planting maize. Field Crops Research. 317. 109529–109529. 4 indexed citations
4.
Wang, Xinglong, Fan Liu, Nan Zhao, et al.. (2024). Optimizing sowing dates increase solar radiation to mitigate maize lodging and yield variability: A five-year field study. Journal of Integrative Agriculture. 24(12). 4573–4587.
5.
6.
7.
Zhou, Fang, et al.. (2023). Optimizing nitrogen management enhances stalk lodging resistance and grain yield in dense planting maize by improving canopy light distribution. European Journal of Agronomy. 148. 126871–126871. 29 indexed citations
8.
Li, Yuan, Jialu Huang, Jie Wang, et al.. (2023). Human umbilical cord-derived mesenchymal stem cell transplantation supplemented with curcumin improves the outcomes of ischemic stroke via AKT/GSK-3β/β-TrCP/Nrf2 axis. Journal of Neuroinflammation. 20(1). 49–49. 52 indexed citations
9.
Jin, Rong, Zhong Li, Xinglong Wang, et al.. (2023). Optimizing Row Spacing Increases Stalk Lodging Resistance by Improving Light Distribution in Dense Maize Populations. Agronomy. 13(2). 462–462. 12 indexed citations
10.
Yuan, Jichao, Shuang Li, Congjun Li, et al.. (2022). Case Report: Diffuse Cerebral Microbleeds in Cerebral Autosomal Recessive Arteriopathy With Subcortical Infarcts and Leukoencephalopathy. Frontiers in Neurology. 13. 818332–818332. 2 indexed citations
11.
Chen, Weixiang, Chao Guo, Suna Huang, et al.. (2020). MitoQ attenuates brain damage by polarizing microglia towards the M2 phenotype through inhibition of the NLRP3 inflammasome after ICH. Pharmacological Research. 161. 105122–105122. 64 indexed citations
12.
Li, Qiang, Lan Li, Fang Zhou, et al.. (2020). Construction of a critical nitrogen dilution curve for maize in Southwest China. Scientific Reports. 10(1). 13084–13084. 28 indexed citations
13.
Yin, Yi, Liu Cao, Hongfei Ge, et al.. (2017). L-Borneol induces transient opening of the blood–brain barrier and enhances the therapeutic effect of cisplatin. Neuroreport. 28(9). 506–513. 43 indexed citations
14.
Zhang, Xuan, Wei Liu, Jichao Yuan, et al.. (2017). T lymphocytes infiltration promotes blood-brain barrier injury after experimental intracerebral hemorrhage. Brain Research. 1670. 96–105. 31 indexed citations
15.
Liu, Wei, Jichao Yuan, Haitao Zhu, et al.. (2016). Curcumin reduces brain-infiltrating T lymphocytes after intracerebral hemorrhage in mice. Neuroscience Letters. 620. 74–82. 29 indexed citations
16.
Chu, Weihua, Jichao Yuan, Lei Huang, et al.. (2015). Valproic Acid Arrests Proliferation but Promotes Neuronal Differentiation of Adult Spinal NSPCs from SCI Rats. Neurochemical Research. 40(7). 1472–1486. 24 indexed citations
17.
Zhu, Haitao, Chen Bian, Jichao Yuan, et al.. (2014). Curcumin attenuates acute inflammatory injury by inhibiting the TLR4/MyD88/NF-κB signaling pathway in experimental traumatic brain injury. Journal of Neuroinflammation. 11(1). 59–59. 298 indexed citations
18.
Chen, Fei, Haoxiang Wang, Xin Xiang, et al.. (2014). Curcumin increased the differentiation rate of neurons in neural stem cells via wnt signaling in vitro study. Journal of Surgical Research. 192(2). 298–304. 38 indexed citations
19.
Zhu, Haitao, Fei Li, Mingming Zou, et al.. (2013). Experimental high-altitude intracerebral hemorrhage in minipigs: histology, behavior, and intracranial pressure in a double-injection model. Acta Neurochirurgica. 155(4). 655–661. 11 indexed citations
20.
Yuan, Jichao. (2008). Changes in Growth Duration of Rice with Altitude and Its Temperature Ac-cumulation Effect in Panxi Region, China. ACTA AGRONOMICA SINICA. 34(2). 247–253. 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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