Zhengyi Cai

27 total papers · 415 total citations
20 papers, 288 citations indexed

About

Zhengyi Cai is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Zhengyi Cai has authored 20 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 8 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Zhengyi Cai's work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Zhengyi Cai is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Zhengyi Cai collaborates with scholars based in China, United States and Germany. Zhengyi Cai's co-authors include Mingsheng Liu, Jinyang Zhang, Xunzhe Yang, Liying Cui, Fangqing Zhao, Xiaofei Cao, Wanying Wu, Dongchao Shen, Jianxin Li and Bin Feng and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Scientific Reports.

In The Last Decade

Zhengyi Cai

19 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
Zhengyi Cai	134	98	58	51	51	20	288
Liping Guan	90 0.7×	46 0.5×	40 0.7×	44 0.9×	36 0.7×	27	313
Veronica Sfredel	98 0.7×	22 0.2×	20 0.3×	59 1.2×	49 1.0×	24	313
Jingyu Zhang	122 0.9×	40 0.4×	9 0.2×	20 0.4×	17 0.3×	24	285
Maria Guarnaccia	154 1.1×	75 0.8×	16 0.3×	36 0.7×	41 0.8×	33	310
Afsaneh Asgari Taei	129 1.0×	17 0.2×	20 0.3×	76 1.5×	37 0.7×	17	292
Zhihao Mu	93 0.7×	32 0.3×	54 0.9×	10 0.2×	26 0.5×	20	319
Silvia Scaricamazza	158 1.2×	205 2.1×	12 0.2×	122 2.4×	14 0.3×	19	326
Qing Lv	126 0.9×	26 0.3×	53 0.9×	11 0.2×	51 1.0×	12	279
Lingling Lv	119 0.9×	61 0.6×	14 0.2×	7 0.1×	16 0.3×	24	279
Nour S. Erekat	152 1.1×	80 0.8×	35 0.6×	5 0.1×	20 0.4×	19	314

Countries citing papers authored by Zhengyi Cai

Since Specialization

Citations

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

Fields of papers citing papers by Zhengyi Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengyi Cai

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