Hongjun Miao

60 total papers · 409 total citations
32 papers, 252 citations indexed

About

Hongjun Miao is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hongjun Miao has authored 32 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Hongjun Miao's work include MicroRNA in disease regulation (5 papers), COVID-19 Clinical Research Studies (4 papers) and Respiratory viral infections research (3 papers). Hongjun Miao is often cited by papers focused on MicroRNA in disease regulation (5 papers), COVID-19 Clinical Research Studies (4 papers) and Respiratory viral infections research (3 papers). Hongjun Miao collaborates with scholars based in China. Hongjun Miao's co-authors include Jun Wang, Shanshan Wang, Wenfeng Li, Xiaochen Hu, Yingjie Zhu, Yanfang Peipei Zhu, Zhuo Li, Zhangbin Yu, Jun Wang and Shanshan Wang and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and American Journal of Physiology-Cell Physiology.

In The Last Decade

Hongjun Miao

28 papers receiving 248 citations

Author Peers

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

Author Last Decade Papers Cites
Hongjun Miao 115 86 57 46 32 32 252
Jean‐Baptiste Gibier 109 0.9× 51 0.6× 28 0.5× 26 0.6× 29 0.9× 36 237
Wen-Rui Xie 141 1.2× 43 0.5× 69 1.2× 67 1.5× 20 0.6× 22 319
Albert Topf 71 0.6× 34 0.4× 31 0.5× 52 1.1× 31 1.0× 40 319
Gongbin Lan 119 1.0× 67 0.8× 60 1.1× 57 1.2× 28 0.9× 40 327
Lipeng Mao 157 1.4× 55 0.6× 34 0.6× 21 0.5× 46 1.4× 31 273
Wei Ru 101 0.9× 49 0.6× 13 0.2× 33 0.7× 20 0.6× 31 270
Eleonora Petito 58 0.5× 20 0.2× 78 1.4× 35 0.8× 43 1.3× 25 302
Jaya Ruth Asirvatham 77 0.7× 29 0.3× 68 1.2× 51 1.1× 7 0.2× 24 312
Christian Hanna 89 0.8× 41 0.5× 35 0.6× 18 0.4× 21 0.7× 30 320
Sang-Min Kim 61 0.5× 49 0.6× 23 0.4× 53 1.2× 21 0.7× 31 310

Countries citing papers authored by Hongjun Miao

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Miao

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