Shipeng Cheng

1.8k citations
71 papers · 1.3k · h-index 20

Impact in

Papers in

Shipeng Cheng

70 papers receiving 1.3k citations

Peers

Shipeng Cheng
Comparison fields: 5 of 106
  • Animal Science and Zoology 455
  • Infectious Diseases 498
  • Genetics 532
  • Virology 73
  • Microbiology 62
Replace Fabiana Quoos Mayer with:
Fabiana Quoos Mayer Brazil
Chian‐Ren Jeng Taiwan
Shangjin Cui China
Yihong Xiao China
Gertrude Thompson Portugal
Ilaria Barbieri Italy
Zhengguo Xiao United States
Tsang Long Lin United States
Yeonsu Oh South Korea
M. E. Thouless United States
Shipeng Cheng relative to Fabiana Quoos Mayer Brazil Fabiana Quoos Mayer's profile →
Citations per field
00.5×1.5×2.1×
Fabiana Quoos Mayer · 1×
Citations per year

Countries citing papers authored by Shipeng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shipeng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015128
2 2016114
3 2020105
4 200995
5 201565
6 201554
7 201150
8 202045
9 202042
10 201441
11 201237
12 201934
13 201429
14 201629
15 201328
16 201826
17 201426
18 201222
19 201821
20 201819

About Shipeng Cheng

Shipeng Cheng is a scholar working on Genetics, Animal Science and Zoology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), Animal Virus Infections Studies (31 papers), Virology and Viral Diseases (17 papers), Viral gastroenteritis research and epidemiology (16 papers), Animal Disease Management and Epidemiology (8 papers), Herpesvirus Infections and Treatments (7 papers), Parvovirus B19 Infection Studies (6 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Animal Science and Zoology (455 citations), Infectious Diseases (498 citations), Genetics (532 citations), Virology (73 citations) and Microbiology (62 citations). Shipeng Cheng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jianke Wang, Yuening Cheng, Yi Li, Hua Wu, Hang Zhao, Mingwei Tong, Feng-Xue Wang, Yongjun Wen, Hongwei Zhu and Li Guo. Their work appears in journals such as BMC Veterinary Research, Infection Genetics and Evolution, Transboundary and Emerging Diseases, Frontiers in Veterinary Science and Veterinary Microbiology.

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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