Chen Peng

1.1k citations
34 papers · 722 · h-index 15

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments

Papers in

    • Poxvirus research and outbreaks 17
    • Herpesvirus Infections and Treatments 13

Chen Peng

31 papers receiving 715 citations

Peers

Chen Peng
Comparison fields: 5 of 84
  • Virology 357
  • Epidemiology 275
  • Immunology 151
  • Infectious Diseases 92
  • Genetics 138
Replace Terri D. Lyddon with:
Terri D. Lyddon United States
Sharon Melamed Israel
Adi Beth-Din Israel
Rui Pedro Galão United Kingdom
Nicholas J. Barrows United States
Rosamund Chapman South Africa
J R Broderson United States
Laura Andrews United Kingdom
Paulo H. Verardi United States
Dorota Kmieć Germany
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Citations per field
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Terri D. Lyddon · 1×
Citations per year

Countries citing papers authored by Chen Peng

Since Specialization
Citations

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

Fields of papers citing papers by Chen Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013222
2 201945
3 202142
4 201640
5 202136
6 202034
7 202131
8 202029
9 201925
10 201524
11 201521
12 202021
13 201919
14 202418
15 202214
16 202314
17 201814
18 202414
19 20229
20 20199

About Chen Peng

Chen Peng is a scholar working on Virology, Epidemiology, Genetics, Molecular Biology and Plant Science, having authored 34 papers that have together received 722 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (17 papers), Herpesvirus Infections and Treatments (13 papers), Virus-based gene therapy research (12 papers), Plant Virus Research Studies (4 papers), Enzyme Catalysis and Immobilization (3 papers), Biochemical and Structural Characterization (2 papers), Nonlinear Partial Differential Equations (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Virology (357 citations), Epidemiology (275 citations), Immunology (151 citations), Infectious Diseases (92 citations) and Genetics (138 citations). Chen Peng has collaborated with scholars based in China, United States and India. Frequent co-authors include Stefan Rothenburg, Sherry L. Haller, Grant McFadden, Bernard Moss, Greg Brennan, Xiaochun Liu, Ruikang Liu, Chorong Park, Xiannan Meng and Huimin Wang. Their work appears in journals such as PLoS Pathogens, Proceedings of the National Academy of Sciences, Journal of Virology, Biochemical Engineering Journal and Gut Microbes.

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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