Jun Mao

37 papers receiving 591 citations

Peers

Jun Mao
Comparison fields: 5 of 80
  • Microbiology 12
  • Pediatrics, Perinatology and Child Health 109
  • Cardiology and Cardiovascular Medicine 98
  • Molecular Biology 229
  • Neurology 24
Replace Begoña Torres with:
Begoña Torres Spain
Germán Ebensperger Chile
S. Sims Canada
Carolina Natalia Zanuzzi Argentina
A. González Gil Spain
Kris T. Kruse-Elliott United States
Xiaohui Li China
Elise M. Lewis United States
Reury F. P. Bacurau Brazil
Philip A. I. Guthrie United Kingdom
Jun Mao relative to Begoña Torres Spain Begoña Torres's profile →
Citations per field
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Begoña Torres · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Mao Line = papers co-authored together Jun Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201452
2 201447
3 200945
4 201042
5 201037
6 200737
7 201337
8 201232
9 201032
10 201630
11 201226
12 202425
13 202022
14 202117
15 201616
16 201814
17 200712
18 201710
19
Experimental factors are associated with fetal fraction in size selection noninvasive prenatal testing.
201910
20 20248

About Jun Mao

Jun Mao is a scholar working on Plant Science, Microbiology, Horticulture, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 614 indexed citations. Recurring topics across this work include Sugarcane Cultivation and Processing (8 papers), Genomics and Phylogenetic Studies (5 papers), Biofuel production and bioconversion (5 papers), Prenatal Screening and Diagnostics (4 papers), Natural Products and Biological Research (3 papers), Actinomycetales infections and treatment (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Sexual function and dysfunction studies (2 papers). The work is most often cited by research in Microbiology (12 citations), Pediatrics, Perinatology and Child Health (109 citations), Cardiology and Cardiovascular Medicine (98 citations), Molecular Biology (229 citations) and Neurology (24 citations). Jun Mao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ying Chen, Benjing Wang, Yuhu Shi, Michael Goodfellow, Zhiheng Liu, Lixin Zhang, Yinghua Liu, Zhidong Zhang, Wei Wang and Benjamin J. Scherlag. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Plants, Molecular Cytogenetics, Journal of Interventional Cardiac Electrophysiology and Clinica Chimica Acta.

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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