Kejing Liu

62 total papers · 645 total citations
43 papers, 521 citations indexed

About

Kejing Liu is a scholar working on Cellular and Molecular Neuroscience, Physiology and Materials Chemistry. According to data from OpenAlex, Kejing Liu has authored 43 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Physiology and 7 papers in Materials Chemistry. Recurrent topics in Kejing Liu's work include Neuroscience and Neuropharmacology Research (4 papers), Neuroendocrine regulation and behavior (4 papers) and Error Correcting Code Techniques (4 papers). Kejing Liu is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Neuroendocrine regulation and behavior (4 papers) and Error Correcting Code Techniques (4 papers). Kejing Liu collaborates with scholars based in China, United States and Macao. Kejing Liu's co-authors include Xiang‐Gen Xia, Chuanyong Liu, Dongping Xie, Lian-Bi Chen, Paulus S. Wang, Yajun Liu, Jingxin Li, Javier Garcia‐Frias, Xiufang Cui and Guo Jin and has published in prestigious journals such as Scientific Reports, Journal of Materials Chemistry A and Journal of Neurochemistry.

In The Last Decade

Kejing Liu

43 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Kejing Liu	96	96	87	66	56	43	521
Hongli Lu	80 0.8×	129 1.3×	97 1.1×	26 0.4×	11 0.2×	44	603
Hua Li	23 0.2×	122 1.3×	162 1.9×	43 0.7×	27 0.5×	26	607
Hyun‐Jin Lee	63 0.7×	105 1.1×	56 0.6×	31 0.5×	10 0.2×	39	522
Xuemei Shi	88 0.9×	74 0.8×	65 0.7×	27 0.4×	3 0.1×	40	488
Chunling Yan	81 0.8×	94 1.0×	109 1.3×	14 0.2×	7 0.1×	36	449
Fengjiao Sun	40 0.4×	99 1.0×	91 1.0×	87 1.3×	11 0.2×	28	499
Chang Xue	57 0.6×	135 1.4×	97 1.1×	14 0.2×	5 0.1×	38	586
Haoyun Zhang	20 0.2×	20 0.2×	105 1.2×	31 0.5×	15 0.3×	53	519
Akira Baba	93 1.0×	113 1.2×	59 0.7×	6 0.1×	7 0.1×	47	499
Jin Hee Hwang	20 0.2×	125 1.3×	114 1.3×	15 0.2×	12 0.2×	15	509

Countries citing papers authored by Kejing Liu

Since Specialization

Citations

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

Fields of papers citing papers by Kejing Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kejing Liu. A scholar is included among the top collaborators of Kejing Liu 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 Kejing Liu. Kejing Liu 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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