Faming Miao

19 papers receiving 779 citations

Faming Miao's Hit Papers

Emergence of African Swine Fever in China, 2018 2018 · 461 citations
4610+2+5Years since publication100200300400

Peers

Faming Miao
Comparison fields: 5 of 59
  • Agronomy and Crop Science 649
  • Ecology, Evolution, Behavior and Systematics 495
  • Infectious Diseases 286
  • Cardiology and Cardiovascular Medicine 325
  • Virology 59
Replace Gediminas Pridotkas with:
Gediminas Pridotkas Lithuania
George R. Smoliga United States
T. Sandvik Norway
Chin‐Cheng Huang Taiwan
Evelyne Hutet France
Katarzyna Bachanek‐Bankowska United Kingdom
P.L. Eblé Netherlands
Xianfeng Zhang China
P. Saravanan India
Daniel Gizaw Ethiopia
Faming Miao relative to Gediminas Pridotkas Lithuania Gediminas Pridotkas's profile →
Citations per field
00.5×1.5×2.3×
Gediminas Pridotkas · 1×
Citations per year

Countries citing papers authored by Faming Miao

Since Specialization
Citations

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

Fields of papers citing papers by Faming Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emergence of African Swine Fever in China, 2018
Hit paper breakdown →
2018461
2 201986
3 202172
4 202151
5 202133
6 202217
7 202116
8 201611
9 20238
10 20248
11 20218
12 20248
13 20245
14 20234
15 20223
16 20243
17 20212
18 20251
19 20151
20 20240

About Faming Miao

Faming Miao is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Cardiology and Cardiovascular Medicine and Virology, having authored 21 papers that have together received 798 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (12 papers), Vector-Borne Animal Diseases (11 papers), Viral Infections and Immunology Research (8 papers), Rabies epidemiology and control (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Poxvirus research and outbreaks (4 papers), Viral Infections and Outbreaks Research (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (649 citations), Ecology, Evolution, Behavior and Systematics (495 citations), Infectious Diseases (286 citations), Cardiology and Cardiovascular Medicine (325 citations) and Virology (59 citations). Faming Miao has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Rongliang Hu, Shoufeng Zhang, Xintao Zhou, Teng Chen, Ye Liu, Peili Cao, Xiangdong Li, Hua‐Ji Qiu, Nan Li and Kegong Tian. Their work appears in journals such as Viruses, Frontiers in Microbiology, Archives of Virology, Travel Medicine and Infectious Disease and One Health.

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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