Pengcheng Wei

3.7k citations
68 papers · 2.4k indexed · h-index 26
Topics
CRISPR and Genetic Engineering (30 papers)Plant Stress Responses and Tolerance (16 papers)Plant Virus Research Studies (14 papers)
Journals
SHILAP Revista de lepidopterologíaThe Plant CellPLANT PHYSIOLOGY
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Pengcheng Wei

65 papers receiving 2.3k citations

Peers

Pengcheng Wei
Comparison fields: 5 of 72
  • Molecular Biology 1.8k
  • Plant Science 1.8k
  • Insect Science 212
  • Genetics 205
  • Biotechnology 148
Replace Zhengyan Feng with:
Zhengyan Feng China
Xingliang Ma China
Zhengjing Zhang China
Yongyao Xie China
Nanfei Xu United States
Lanqin Xia China
Changtian Pan China
Yanfei Mao China
Pengcheng Wei relative to Zhengyan Feng China Zhengyan Feng's profile →
Citations per field
00.5×
Zhengyan Feng · 1×
Citations per year

Countries citing papers authored by Pengcheng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Pengcheng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengcheng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Pengcheng Wei. A scholar is included among the top collaborators of Pengcheng Wei 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 Pengcheng Wei. Pengcheng Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 13
4 10
5 4
6 8
7 0
8 34
9 0
10 11
11 53
12 14
13 18
14
A novel plant code optimization phosphomannose isomerase (pPMI) and its application in rice (Oryza sativa L.) transformation as selective marker.
1
15 8
16 15
17
Mapping QTLs for the tissue culture performance of rice mature embryo using indica-japonica recombinant inbred lines.
3
18 22
19 24
20 81

About Pengcheng Wei

Pengcheng Wei is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 68 papers that have together received 2.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (30 papers), Plant Stress Responses and Tolerance (16 papers) and Plant Virus Research Studies (14 papers). The work is most often cited by research in Business and International Management (120 citations), Plant Science (1.8k citations) and Aging (75 citations). Pengcheng Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ruiying Qin, Rongfang Xu, Juan Li, Jianbo Yang, Hao Li, Xiaoshuang Liu, Xuechen Wang, Li Li, Xiuqing Zhang and Ya-Chun Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

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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