Mao Pei-hong

46 total papers · 521 total citations
22 papers, 405 citations indexed

About

Mao Pei-hong is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Mao Pei-hong has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Plant Science. Recurrent topics in Mao Pei-hong's work include Genomics and Phylogenetic Studies (7 papers), Microbial Natural Products and Biosynthesis (6 papers) and Radioactivity and Radon Measurements (4 papers). Mao Pei-hong is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Microbial Natural Products and Biosynthesis (6 papers) and Radioactivity and Radon Measurements (4 papers). Mao Pei-hong collaborates with scholars based in China, Taiwan and Germany. Mao Pei-hong's co-authors include Lihua Xu, Chunyan Jiang, Ming Zeng, Xiao‐Long Cui, Cheng‐Lin Jiang, Shu‐Kun Tang, Wen‐Jun Li, Xin Jin, Kai Lou and C.-L. Jiang and has published in prestigious journals such as Plant and Soil, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Industrial Crops and Products.

In The Last Decade

Mao Pei-hong

22 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Mao Pei-hong 318 165 113 104 57 22 405
S. D. Lee 317 1.0× 195 1.2× 66 0.6× 72 0.7× 46 0.8× 20 391
Yun Wang 324 1.0× 131 0.8× 85 0.8× 129 1.2× 33 0.6× 30 397
Feiyu Jia 368 1.2× 110 0.7× 168 1.5× 197 1.9× 65 1.1× 23 473
D.-J. Park 227 0.7× 152 0.9× 72 0.6× 139 1.3× 59 1.0× 18 386
L. V. Kalakoutskii 264 0.8× 100 0.6× 167 1.5× 149 1.4× 27 0.5× 25 450
Gabriele Pötter 288 0.9× 113 0.7× 166 1.5× 121 1.2× 87 1.5× 30 464
Ismet Ara 262 0.8× 74 0.4× 186 1.6× 157 1.5× 46 0.8× 22 420
Y.-G. Chen 334 1.1× 258 1.6× 70 0.6× 30 0.3× 28 0.5× 18 386
KyungHwa Won 310 1.0× 190 1.2× 40 0.4× 120 1.2× 17 0.3× 39 428
Nagamani Bora 345 1.1× 136 0.8× 77 0.7× 40 0.4× 8 0.1× 20 490

Countries citing papers authored by Mao Pei-hong

Since Specialization
Citations

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

Fields of papers citing papers by Mao Pei-hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Pei-hong

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