Zhi Zuo

68 total papers · 653 total citations
43 papers, 495 citations indexed

About

Zhi Zuo is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Zhi Zuo has authored 43 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 10 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Zhi Zuo's work include Autophagy in Disease and Therapy (6 papers), Cardiac Fibrosis and Remodeling (5 papers) and Cancer-related molecular mechanisms research (4 papers). Zhi Zuo is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Cardiac Fibrosis and Remodeling (5 papers) and Cancer-related molecular mechanisms research (4 papers). Zhi Zuo collaborates with scholars based in China, Germany and New Zealand. Zhi Zuo's co-authors include Genshan Ma, Volker Rasche, Thomas Simmet, Tatiana Syrovets, Qianxing Zhou, Juan Pu, Xin Wang, Alireza Abaei, Zulong Sheng and Wanpeng Wang and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and The FASEB Journal.

In The Last Decade

Zhi Zuo

42 papers receiving 494 citations

Author Peers

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

Author						Papers	Cites
Zhi Zuo	180	88	77	47	47	43	495
Jihwa Chung	196 1.1×	50 0.6×	73 0.9×	39 0.8×	56 1.2×	21	465
Hüseyin Sönmez	150 0.8×	48 0.5×	83 1.1×	55 1.2×	84 1.8×	40	468
Bin Yuan	249 1.4×	58 0.7×	58 0.8×	96 2.0×	46 1.0×	38	535
Yuancheng Li	190 1.1×	77 0.9×	79 1.0×	44 0.9×	58 1.2×	43	518
Yafeng Zhang	229 1.3×	44 0.5×	47 0.6×	43 0.9×	44 0.9×	40	511
Hong Zhi	214 1.2×	126 1.4×	128 1.7×	26 0.6×	36 0.8×	34	496
M Ayrault-Jarrier	172 1.0×	60 0.7×	102 1.3×	55 1.2×	39 0.8×	44	506
Ryoko Shinohata	172 1.0×	119 1.4×	59 0.8×	40 0.9×	91 1.9×	28	545
Olivia Beseme	265 1.5×	108 1.2×	69 0.9×	36 0.8×	69 1.5×	32	537
Mariana S. Parahuleva	159 0.9×	131 1.5×	126 1.6×	53 1.1×	67 1.4×	45	489

Countries citing papers authored by Zhi Zuo

Since Specialization

Citations

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

Fields of papers citing papers by Zhi Zuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Zuo

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