Pengxia Liu

1.2k citations
46 papers · 978 · h-index 15

Impact in

Papers in

Pengxia Liu

41 papers receiving 960 citations

Peers

Pengxia Liu
Comparison fields: 5 of 98
  • Health, Toxicology and Mutagenesis 352
  • Genetics 183
  • Process Chemistry and Technology 41
  • Oceanography 112
  • Developmental Neuroscience 31
Replace Kimberly A. Mace with:
Kimberly A. Mace United Kingdom
Thomas Brinkmann Germany
Xianqin Liu China
Sunyoung Park South Korea
Ann H. Williams United States
Yibu Chen United States
Stéphane Binet France
Jason R. Westrich United States
Xianrong Zhang China
Philippe Riou France
Pengxia Liu relative to Kimberly A. Mace United Kingdom Kimberly A. Mace's profile →
Citations per field
00.5×3.9×
Kimberly A. Mace · 1×
Citations per year

Countries citing papers authored by Pengxia Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pengxia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009104
2 2009102
3 201796
4 201891
5 201888
6 201974
7 202067
8 200945
9 202042
10 200936
11 201030
12 200828
13 202216
14 201515
15 201514
16 200913
17 202013
18 202311
19 20229
20 20189

About Pengxia Liu

Pengxia Liu is a scholar working on Health, Toxicology and Mutagenesis, Genetics, Molecular Biology, Oceanography and Cancer Research, having authored 46 papers that have together received 978 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Marine and coastal ecosystems (7 papers), Air Quality and Health Impacts (6 papers), Indoor Air Quality and Microbial Exposure (5 papers), Air Quality Monitoring and Forecasting (4 papers), MicroRNA in disease regulation (4 papers), Environmental Changes in China (3 papers) and Groundwater and Isotope Geochemistry (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (352 citations), Genetics (183 citations), Process Chemistry and Technology (41 citations), Oceanography (112 citations) and Developmental Neuroscience (31 citations). Pengxia Liu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Chunlan Fan, Yanpeng Li, Zhengsheng Xie, Rui Lü, Zhongchao Han, Wanxin Li, Shunxi Deng, Jie Xu, Wenbin Liao and Beibei Wang. Their work appears in journals such as The Science of The Total Environment, Marine Pollution Bulletin, Cellular Physiology and Biochemistry, Agronomy and Environmental Pollution.

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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