Peng Zhou

43.2k citations
172 papers · 10.4k indexed · 3 hit papers · h-index 42
Topics
SARS-CoV-2 and COVID-19 Research (41 papers)Animal Virus Infections Studies (41 papers)Viral Infections and Vectors (29 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Peng Zhou

162 papers receiving 10.2k citations

Hit Papers

Characteristics of SARS-CoV-2 and COVID-19201920262021202320202020201910002.0k3.0k

Peers

Peng Zhou
Comparison fields: 5 of 190
  • Infectious Diseases 6.3k
  • Epidemiology 1.6k
  • Molecular Biology 1.6k
  • Immunology 1.1k
  • Animal Science and Zoology 1.1k
Replace Yi‐Wei Tang with:
Yi‐Wei Tang United States
Wanpen Chaicumpa Thailand
Andreas Nitsche Germany
Eng Eong Ooi Singapore
Lisa F. P. Ng Singapore
Massimo Ciccozzi Italy
Yǒng-Zhèn Zhāng China
Keith R. Jerome United States
Yee‐Sin Leo Singapore
Peng Zhou relative to Yi‐Wei Tang United States Yi‐Wei Tang's profile →
Citations per field
00.5×4.8×
Yi‐Wei Tang · 1×
Citations per year

Countries citing papers authored by Peng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Peng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Zhou. A scholar is included among the top collaborators of Peng Zhou 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 Peng Zhou. Peng Zhou 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 3
3 0
4 6
5 6
6 2
7 4
8 6
9 23
10 1
11 12
12 42
13 14
14 53
15
Molecular and serological investigation of 2019-nCoV infected patients: implication of multiple shedding routesbreakdown →
1262
16
Bat Coronaviruses in Chinabreakdown →
433
17 24
18 101
19 24
20 6

About Peng Zhou

Peng Zhou is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science, having authored 172 papers that have together received 10.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (41 papers), Animal Virus Infections Studies (41 papers) and Viral Infections and Vectors (29 papers). The work is most often cited by research in Infectious Diseases (6.3k citations), Parasitology (1.0k citations) and Modeling and Simulation (550 citations). Peng Zhou has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Zheng‐Li Shi, Ben Hu, Hua Guo, Xing‐Lou Yang, Lin‐Fa Wang, Bei Li, Xiao-Shuang Zheng, Wei Zhang, Bing Yan and Gengfu Xiao. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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