Jun Mao

61 total papers · 811 total citations
39 papers, 555 citations indexed

About

Jun Mao is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Mao has authored 39 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Plant Science and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Mao's work include Sugarcane Cultivation and Processing (8 papers), Prenatal Screening and Diagnostics (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Jun Mao is often cited by papers focused on Sugarcane Cultivation and Processing (8 papers), Prenatal Screening and Diagnostics (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Jun Mao collaborates with scholars based in China, United States and United Kingdom. Jun Mao's co-authors include Ying Chen, Yuhu Shi, Michael Goodfellow, Benjing Wang, Zhiheng Liu, Lixin Zhang, Yinghua Liu, Sunny S. Po, Youqi Fan and Benjamin J. Scherlag and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinica Chimica Acta.

In The Last Decade

Jun Mao

37 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Jun Mao	237	116	106	74	64	39	555
Cristina Navarro	135 0.6×	36 0.3×	23 0.2×	29 0.4×	73 1.1×	27	663
David L. Beckman	287 1.2×	52 0.4×	20 0.2×	69 0.9×	42 0.7×	39	604
M. A. Woodhouse	113 0.5×	26 0.2×	52 0.5×	54 0.7×	105 1.6×	23	617
Changhong Li	351 1.5×	21 0.2×	28 0.3×	41 0.6×	22 0.3×	42	664
Marcio Almeida	206 0.9×	42 0.4×	24 0.2×	215 2.9×	65 1.0×	43	619
Penghua Yang	310 1.3×	31 0.3×	65 0.6×	195 2.6×	13 0.2×	27	628
Jung Hye Byeon	85 0.4×	39 0.3×	117 1.1×	73 1.0×	19 0.3×	44	578
Julia Sellin	312 1.3×	16 0.1×	56 0.5×	30 0.4×	32 0.5×	30	624
Matthew Denniff	186 0.8×	37 0.3×	96 0.9×	147 2.0×	19 0.3×	25	599
Werner Engel	172 0.7×	26 0.2×	85 0.8×	38 0.5×	13 0.2×	29	531

Countries citing papers authored by Jun Mao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mao

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