Pu Yao

1.6k citations
39 papers · 1.1k · 1 hit paper · h-index 12

Impact in

    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
    • Plant Disease Resistance and Genetics
    • Plant Virus Research Studies
    • Genomics and Phylogenetic Studies
    • Photosynthetic Processes and Mechanisms
    • Nitrogen and Sulfur Effects on Brassica
    • Plant Gene Expression Analysis

Papers in

Pu Yao

32 papers receiving 1.1k citations

Pu Yao's Hit Papers

The genome sequence of allopolyploid Brassica juncea and analysis of differential homoeolog gene expression influencing selection 2016 · 476 citations
4760+3+6Years since publication100200300400

Peers

Pu Yao
Comparison fields: 5 of 116
  • Plant Science 525
  • Molecular Biology 553
  • Biochemistry 36
  • Endocrinology 22
  • Genetics 115
Replace Kang Yan with:
Kang Yan China
Rosa E. Navarro Mexico
Jianyan Huang China
Ana Campilho Portugal
Byung-Cheol Kang South Korea
Neil Moore United States
Jasleen Kaur Bains Germany
Živa Ramšak Slovenia
Liqun Du China
Pu Yao relative to Kang Yan China Kang Yan's profile →
Citations per field
00.5×2×3×3.6×
Kang Yan · 1×
Citations per year

Countries citing papers authored by Pu Yao

Since Specialization
Citations

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

Fields of papers citing papers by Pu Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pu Yao, 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 Pu Yao Line = papers co-authored together Pu Yao 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
The genome sequence of allopolyploid Brassica juncea and analysis of differential homoeolog gene expression influencing selection
Hit paper breakdown →
2016476
2 2018135
3 2019103
4 201573
5 199955
6 202138
7 201837
8 201933
9 202330
10 202219
11 202318
12 202314
13 202210
14 20219
15 20228
16 20207
17 20226
18 20256
19 20255
20 20195

About Pu Yao

Pu Yao is a scholar working on Molecular Medicine, Endocrinology, Biomaterials, Biomedical Engineering and Molecular Biology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Nanoparticle-Based Drug Delivery (3 papers), Antibiotic Resistance in Bacteria (3 papers), Vibrio bacteria research studies (3 papers), Plant Gene Expression Analysis (2 papers), Photodynamic Therapy Research Studies (2 papers), Medical Imaging and Analysis (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (525 citations), Molecular Biology (553 citations), Biochemistry (36 citations), Endocrinology (22 citations) and Genetics (115 citations). Pu Yao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhixin Shi, Irina Voineagu, Hongkun Zheng, Peijie Lin, Amelia A. Assareh, Fengjun Sun, Qianmei Wang, Xiaofeng Gu, Xuean Cui and Dong‐Lei Yang. Their work appears in journals such as Microbial Pathogenesis, Molecular Plant, iScience, International Journal of Biological Macromolecules and Computers in Biology and Medicine.

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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