Kaihua Guo

75 total papers · 1.2k total citations
53 papers, 894 citations indexed

About

Kaihua Guo is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Kaihua Guo has authored 53 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 12 papers in Physiology and 10 papers in Immunology. Recurrent topics in Kaihua Guo's work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Alzheimer's disease research and treatments (10 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Kaihua Guo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Alzheimer's disease research and treatments (10 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Kaihua Guo collaborates with scholars based in China, United States and Italy. Kaihua Guo's co-authors include Jie Xu, David T. Yew, Lizhi Chen, Lingqi Zhou, Zhibin Yao, Chun Shi, Tong Wu, I. Zoccarato, Juntao Zou and Shanshan Ou and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Food Chemistry.

In The Last Decade

Kaihua Guo

50 papers receiving 878 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kaihua Guo	259	199	195	109	93	53	894
Hussein Mansour	169 0.7×	90 0.5×	151 0.8×	58 0.5×	55 0.6×	25	742
Huanmin Yang	393 1.5×	64 0.3×	176 0.9×	101 0.9×	33 0.4×	52	878
Kyu-Tae Chang	438 1.7×	74 0.4×	140 0.7×	128 1.2×	45 0.5×	40	948
Fang Chen	299 1.2×	163 0.8×	241 1.2×	76 0.7×	78 0.8×	36	971
Lan N. Tu	416 1.6×	92 0.5×	117 0.6×	60 0.6×	122 1.3×	34	758
Xiaolong Qi	303 1.2×	117 0.6×	154 0.8×	90 0.8×	41 0.4×	48	825
Qi Lin	245 0.9×	317 1.6×	123 0.6×	117 1.1×	105 1.1×	45	896
Xin Fang	469 1.8×	160 0.8×	239 1.2×	31 0.3×	98 1.1×	57	1.0k
Jichao Yuan	294 1.1×	189 0.9×	73 0.4×	106 1.0×	83 0.9×	35	908
Jingru Guo	366 1.4×	61 0.3×	141 0.7×	74 0.7×	29 0.3×	41	813

Countries citing papers authored by Kaihua Guo

Since Specialization

Citations

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

Fields of papers citing papers by Kaihua Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihua Guo

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

All Works

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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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