Pengpeng Liu

3.3k citations
53 papers · 1.6k indexed · 1 hit paper · h-index 25
Topics
CRISPR and Genetic Engineering (21 papers)Cancer-related molecular mechanisms research (8 papers)Genetics, Aging, and Longevity in Model Organisms (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Pengpeng Liu

51 papers receiving 1.6k citations

Hit Papers

Improved prime editors enable pathogenic allele correctio...2021202620222024202150100150

Peers

Pengpeng Liu
Comparison fields: 5 of 100
  • Molecular Biology 1.4k
  • Genetics 281
  • Cancer Research 265
  • Aging 211
  • Business and International Management 119
Replace Jiyung Shin with:
Jiyung Shin United States
Marcello Maresca Sweden
Yuanyan Xiong China
Elena Zelin United States
Emma M. Schatoff United States
Yorick Post Netherlands
Christopher D. Guzman United States
Olivia S. Rissland United States
Alyna Katti United States
Martin Del Castillo Velasco‐Herrera United Kingdom
Pengpeng Liu relative to Jiyung Shin United States Jiyung Shin's profile →
Citations per field
00.5×
Jiyung Shin · 1×
Citations per year

Countries citing papers authored by Pengpeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pengpeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengpeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengpeng Liu. A scholar is included among the top collaborators of Pengpeng Liu 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 Pengpeng Liu. Pengpeng Liu 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 0
2 2
3 34
4 43
5 59
6 34
7 25
8 43
9 16
10 9
11 73
12 38
13 23
14
Improved prime editors enable pathogenic allele correction and cancer modelling in adult micebreakdown →
196
15 11
16 43
17 48
18 79
19 96
20
Effect of PCR amplification with nano-silver on DNA synthesis and its mechanism.
2

About Pengpeng Liu

Pengpeng Liu is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (21 papers), Cancer-related molecular mechanisms research (8 papers) and Genetics, Aging, and Longevity in Model Organisms (7 papers). The work is most often cited by research in Aging (211 citations), Business and International Management (119 citations) and Molecular Biology (1.4k citations). Pengpeng Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Scot A. Wolfe, Erik J. Sontheimer, Wen Xue, Lihua Julie Zhu, Shun‐Qing Liang, Karthikeyan Ponnienselvan, Aamir Mir, Esther Mintzer, Zhisu Liu and Raed Ibraheim. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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