Xiaoming Peng

797 total citations
41 papers, 547 citations indexed

About

Xiaoming Peng is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Xiaoming Peng has authored 41 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Epidemiology. Recurrent topics in Xiaoming Peng's work include MicroRNA in disease regulation (3 papers), Natural product bioactivities and synthesis (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). Xiaoming Peng is often cited by papers focused on MicroRNA in disease regulation (3 papers), Natural product bioactivities and synthesis (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). Xiaoming Peng collaborates with scholars based in China, Australia and India. Xiaoming Peng's co-authors include Ming Yan, Li Gao, Shaohui Zong, Jinmin Zhao, Gaofeng Zeng, Xinmin Liu, Li Du, Lan Cheng, Xuetao Li and Rui-Jun Ju and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoming Peng

36 papers receiving 535 citations

Peers

Xiaoming Peng
Comparison fields: 5 of 93
  • Molecular Biology 254
  • Plant Science 97
  • Epidemiology 78
  • Biomaterials 63
  • Cell Biology 62
Replace Daniela Lulli with:
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Kun Yeong Lee South Korea
Tejinder Pal Khaket India
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Daniela Lulli Italy View profile →
Citations per field, relative to Xiaoming Peng
Xiaoming Peng · 1×
Citations per year, relative to Xiaoming Peng
Xiaoming Peng · 1×

Countries citing papers authored by Xiaoming Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Peng. A scholar is included among the top collaborators of Xiaoming Peng 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 Xiaoming Peng. Xiaoming Peng 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
# Work Indexed citations
1 3
2 0
3 0
4 0
5 4
6 0
7 1
8 3
9 1
10 13
11 2
12
Silencing of Peroxiredoxin 1 Inhibits the Proliferation of Esophageal Cancer Cells and Promotes Apoptosis by Inhibiting the Activity of the PI3K/AKT Pathway
4
13 6
14 7
15 48
16 38
17
[Acteoside enhances expression of neurotrophin-3 in brain tissues of subacute aging mice induced by D-galactose combined with aluminum trichloride].
5
18 5
19 1
20 57

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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