Faming Miao

1.1k total citations · 1 hit paper
21 papers, 798 citations indexed

About

Faming Miao is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Infectious Diseases. According to data from OpenAlex, Faming Miao has authored 21 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Agronomy and Crop Science, 11 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Infectious Diseases. Recurrent topics in Faming Miao's work include Animal Disease Management and Epidemiology (12 papers), Vector-Borne Animal Diseases (11 papers) and Viral Infections and Immunology Research (8 papers). Faming Miao is often cited by papers focused on Animal Disease Management and Epidemiology (12 papers), Vector-Borne Animal Diseases (11 papers) and Viral Infections and Immunology Research (8 papers). Faming Miao collaborates with scholars based in China, Italy and United States. Faming Miao's co-authors include Rongliang Hu, Shoufeng Zhang, Xintao Zhou, Teng Chen, Hua‐Ji Qiu, Kegong Tian, Yuzi Luo, Xiangdong Li, Peili Cao and Nan Li and has published in prestigious journals such as Frontiers in Microbiology, Emerging infectious diseases and Journal of Medical Virology.

In The Last Decade

Faming Miao

19 papers receiving 779 citations

Hit Papers

Emergence of African Swine Fever in China, 2018 2018 2026 2020 2023 2018 100 200 300 400

Peers

Faming Miao
Comparison fields: 5 of 59
  • Agronomy and Crop Science 649
  • Ecology, Evolution, Behavior and Systematics 495
  • Cardiology and Cardiovascular Medicine 325
  • Infectious Diseases 286
  • Molecular Biology 92
Replace Gediminas Pridotkas with:
Gediminas Pridotkas Lithuania
P.L. Eblé Netherlands
Xianfeng Zhang China
Nagendrakumar B. Singanallur Australia
Chin‐Cheng Huang Taiwan
George R. Smoliga United States
T. Sandvik Norway
Ferdinando B. Freitas Portugal
Katarzyna Bachanek‐Bankowska United Kingdom
Marylène Tignon Belgium
Gediminas Pridotkas Lithuania View profile →
Citations per field, relative to Faming Miao
Faming Miao · 1×
Citations per year, relative to Faming Miao
Faming Miao · 1×

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-authorship network of co-authors of Faming Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Faming Miao. A scholar is included among the top collaborators of Faming Miao 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 Faming Miao. Faming Miao 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 1
2 0
3 0
4 8
5 3
6 5
7 8
8 4
9 3
10 17
11 33
12 8
13 2
14 72
15 51
16 16
17 86
18
Emergence of African Swine Fever in China, 2018 breakdown →
461
19 11
20 1

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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