Zhen Hong

25 total papers · 471 total citations
15 papers, 373 citations indexed

About

Zhen Hong is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Zhen Hong has authored 15 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in Zhen Hong's work include Neuroscience and Neuropharmacology Research (7 papers), Epilepsy research and treatment (4 papers) and Neurological Disorders and Treatments (3 papers). Zhen Hong is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Epilepsy research and treatment (4 papers) and Neurological Disorders and Treatments (3 papers). Zhen Hong collaborates with scholars based in China, United States and United Kingdom. Zhen Hong's co-authors include Yi Zhun Zhu, Natan M. Bornstein, J Tuomilehto, Michael Brainin, Wolf‐Dieter Heiss, Hong Xin, Jia Qi, Guofeng Wu, Jing Shi and Xue Shi and has published in prestigious journals such as Stroke, Neurochemical Research and Epilepsy Research.

In The Last Decade

Zhen Hong

15 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Zhen Hong 126 90 74 56 56 15 373
Ruslan Kuts 95 0.8× 75 0.8× 99 1.3× 62 1.1× 68 1.2× 20 363
Letícia Pereira 97 0.8× 115 1.3× 114 1.5× 39 0.7× 64 1.1× 15 396
Mariana Gomez-Smith 90 0.7× 80 0.9× 50 0.7× 75 1.3× 80 1.4× 12 406
Jun Li 102 0.8× 98 1.1× 119 1.6× 37 0.7× 38 0.7× 19 381
Yangfeng Liu 82 0.7× 142 1.6× 68 0.9× 34 0.6× 29 0.5× 13 407
Fengying Liang 87 0.7× 108 1.2× 125 1.7× 54 1.0× 86 1.5× 18 427
Hyun-Kyung Chang 64 0.5× 62 0.7× 79 1.1× 20 0.4× 78 1.4× 18 343
Bibiana Castagna Mota 149 1.2× 128 1.4× 74 1.0× 50 0.9× 131 2.3× 15 443
Gian Luigi Piccinin 149 1.2× 88 1.0× 96 1.3× 28 0.5× 95 1.7× 24 394
Zhen-Kun Gao 175 1.4× 112 1.2× 46 0.6× 62 1.1× 41 0.7× 15 375

Countries citing papers authored by Zhen Hong

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Hong

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