Pu Shi

2.1k citations
27 papers · 1.3k · h-index 17

Impact in

    • Plant biochemistry and biosynthesis
    • Plant Gene Expression Analysis
    • Plant Reproductive Biology
    • Plant tissue culture and regeneration
    • Photosynthetic Processes and Mechanisms
    • Microbial Natural Products and Biosynthesis
    • Pharmacological Effects of Natural Compounds

Papers in

Pu Shi

27 papers receiving 1.2k citations

Peers

Pu Shi
Comparison fields: 5 of 71
  • Molecular Biology 956
  • Pharmacology 107
  • Plant Science 400
  • Biotechnology 91
  • Pharmacology 141
Replace Yongpeng Li with:
Yongpeng Li China
Hongli Luo China
Kejun Deng China
Vikrant Gupta India
Raj Kumar Joshi India
Karl Engel Germany
Yu Tian China
Zengzhi Li China
Jing Hou China
Roberta Paris Italy
Pu Shi relative to Yongpeng Li China Yongpeng Li's profile →
Citations per field
00.5×1.6×
Yongpeng Li · 1×
Citations per year

Countries citing papers authored by Pu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Pu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016187
2 2016176
3 2018152
4 2017144
5 201969
6 201767
7 201764
8 201656
9 201655
10 201847
11 201039
12 201737
13 201021
14 200920
15 201819
16 201717
17 201616
18 200616
19 201913
20 202011

About Pu Shi

Pu Shi is a scholar working on Molecular Biology, Control and Systems Engineering, Pharmacology, Computer Vision and Pattern Recognition and Pharmacology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (13 papers), Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Plant Reproductive Biology (3 papers), Transgenic Plants and Applications (3 papers), Control and Dynamics of Mobile Robots (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Molecular Biology (956 citations), Pharmacology (107 citations), Plant Science (400 citations), Biotechnology (91 citations) and Pharmacology (141 citations). Pu Shi has collaborated with scholars based in China, Botswana and United States. Frequent co-authors include Qian Shen, Kexuan Tang, Xueqing Fu, Tingxiang Yan, Qifang Pan, Yueli Tang, Weimin Jiang, Zongyou Lv, Xiaofen Sun and Xiaolong Hao. Their work appears in journals such as Frontiers in Plant Science, New Phytologist, Plant Cell Tissue and Organ Culture (PCTOC), Biotechnology and Applied Biochemistry and BioMed Research International.

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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