Zhonghua Dai

46 total papers · 1.3k total citations
30 papers, 961 citations indexed

About

Zhonghua Dai is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zhonghua Dai has authored 30 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zhonghua Dai's work include MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Zhonghua Dai is often cited by papers focused on MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Zhonghua Dai collaborates with scholars based in China, United States and Japan. Zhonghua Dai's co-authors include Liangbiao Chen, Mikko T. Huuskonen, Axel Montagne, Berislav V. Zloković, Abhay P. Sagare, Angeliki M. Nikolakopoulou, Yaoming Wang, Zhen Zhao, Kassandra Kisler and Divna Lazić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Zhonghua Dai

27 papers receiving 954 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Zhonghua Dai 399 215 142 141 139 30 961
Torao Yamamoto 391 1.0× 96 0.4× 213 1.5× 151 1.1× 49 0.4× 75 1.1k
Robert J. Kayton 267 0.7× 87 0.4× 83 0.6× 140 1.0× 44 0.3× 30 893
Bryce A. Mendelsohn 559 1.4× 78 0.4× 117 0.8× 44 0.3× 81 0.6× 28 1.0k
Param Priya Singh 623 1.6× 88 0.4× 62 0.4× 64 0.5× 52 0.4× 22 1.2k
Gervasio Martín‐Partido 813 2.0× 164 0.8× 182 1.3× 57 0.4× 32 0.2× 57 1.2k
Ravi Tolwani 382 1.0× 97 0.5× 160 1.1× 58 0.4× 55 0.4× 33 1.1k
Anathbandhu Chaudhuri 486 1.2× 223 1.0× 44 0.3× 94 0.7× 52 0.4× 33 1.2k
Yuichiro Hara 420 1.1× 246 1.1× 46 0.3× 77 0.5× 30 0.2× 28 871
Michèle André 519 1.3× 43 0.2× 226 1.6× 72 0.5× 50 0.4× 30 1.2k
Andrew Davis 460 1.2× 76 0.4× 146 1.0× 34 0.2× 236 1.7× 22 1.1k

Countries citing papers authored by Zhonghua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Dai

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