Pei Zhao

4.1k citations
67 papers · 2.7k indexed · 2 hit papers · h-index 23
    • Machine Learning in Bioinformatics 9
    • RNA and protein synthesis mechanisms 6
    • Genomics and Phylogenetic Studies 6
    • Protein Structure and Dynamics 3
  • Horticulture top 10%
    • Research in Cotton Cultivation 6
    • Plant-Microbe Interactions and Immunity 4
    • Plant Virus Research Studies 4
    • Lipoproteins and Cardiovascular Health 3

Pei Zhao

65 papers receiving 2.6k citations

Hit Papers

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Peers

Pei Zhao
Comparison fields: 5 of 151
  • Molecular Biology 1.5k
  • Microbiology 122
  • Cancer Research 235
  • Horticulture 14
  • Plant Science 521
Replace Aimin Li with:
Aimin Li China
Lin Cheng China
Bingqiang Liu China
Kristof Engelen Belgium
Fengfeng Zhou China
Zilong Zhang China
Han Li China
Zhenyu Jia United States
Lichao Zhang China
Xue Liu China
Pei Zhao relative to Aimin Li China Aimin Li's profile →
Citations per field
00.5×5.3×
Aimin Li · 1×
Citations per year

Countries citing papers authored by Pei Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Pei Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pei Zhao, 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 Pei Zhao Line = papers co-authored together Pei Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20249
4 20241
5 20240
6 20243
7 20234
8 20238
9 202236
10 202257
11 20227
12 202116
13 202140
14 202015
15 201918
16 20194
17 2019136
18 20197
19 20171
20 201714

About Pei Zhao

Pei Zhao is a scholar working on Energy Engineering and Power Technology, Endocrinology and Environmental Engineering, having authored 67 papers that have together received 2.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (9 papers), Research in Cotton Cultivation (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (6 papers), Plant-Microbe Interactions and Immunity (4 papers), Plant Virus Research Studies (4 papers), Protein Structure and Dynamics (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Microbiology (122 citations) and Cancer Research (235 citations). Pei Zhao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiangning Song, Fuyi Li, Geoffrey I. Webb, Zhen Chen, Roger J. Daly, A. Ian Smith, Yeming Dai, Tatiana T. Marquez‐Lago, André Leier and Kuo‐Chen Chou. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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