Pengxia Wang

999 citations
35 papers · 670 · h-index 16

Impact in

Papers in

    • Insect Resistance and Genetics 6
    • Genomics and Phylogenetic Studies 5
    • Bacterial biofilms and quorum sensing 4
    • Microbial Community Ecology and Physiology 6
    • Bacteriophages and microbial interactions 5

Pengxia Wang

34 papers receiving 666 citations

Peers

Pengxia Wang
Comparison fields: 5 of 75
  • Endocrinology 112
  • Molecular Medicine 102
  • Insect Science 111
  • Ecology 186
  • Molecular Biology 367
Replace Francisco Javier Marcos‐Torres with:
Francisco Javier Marcos‐Torres Spain
Alexander S. Solonin Russia
Stephan Schwager Switzerland
Rémi Planel France
Vladimir Sentchilo Switzerland
Or Rotem Israel
Juan Feng China
Gary E. Heussler United States
Sharik R. Khan United States
Min‐Young Choi South Korea
Pengxia Wang relative to Francisco Javier Marcos‐Torres Spain Francisco Javier Marcos‐Torres's profile →
Citations per field
00.5×7.9×
Francisco Javier Marcos‐Torres · 1×
Citations per year

Countries citing papers authored by Pengxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pengxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200876
2 201965
3 202057
4 201549
5 201740
6 201840
7 201839
8 201327
9 201125
10 201724
11 201322
12 201720
13 201519
14 201618
15 201118
16 202116
17 201714
18 202013
19 202211
20 201610

About Pengxia Wang

Pengxia Wang is a scholar working on Molecular Biology, Ecology, Genetics, Endocrinology and Molecular Medicine, having authored 35 papers that have together received 670 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Vibrio bacteria research studies (6 papers), Insect Resistance and Genetics (6 papers), Microbial Community Ecology and Physiology (6 papers), Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Endocrinology (112 citations), Molecular Medicine (102 citations), Insect Science (111 citations), Ecology (186 citations) and Molecular Biology (367 citations). Pengxia Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoxue Wang, Baiyuan Li, Yunxue Guo, Zhenshun Zeng, Weiquan Wang, Donghai Peng, Kaihao Tang, Suxia Guo, Xiaoxiao Liu and Ming Sun. Their work appears in journals such as Frontiers in Microbiology, Environmental Microbiology, Journal of Biotechnology, Nucleic Acids Research and Microbial Biotechnology.

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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