Congrong Miao

2.0k citations
26 papers · 843 indexed · h-index 17
Topics
Viral gastroenteritis research and epidemiology (9 papers)Respiratory viral infections research (8 papers)SARS-CoV-2 and COVID-19 Research (7 papers)

In The Last Decade

Congrong Miao

26 papers receiving 824 citations

Peers

Congrong Miao
Comparison fields: 5 of 84
  • Infectious Diseases 481
  • Epidemiology 431
  • Pulmonary and Respiratory Medicine 167
  • Animal Science and Zoology 118
  • Modeling and Simulation 105
Replace Francesco Bonfante with:
Francesco Bonfante Italy
Sylvie Behillil France
Katja Steinhagen Germany
Mugen Ujiie Japan
Werner Wunderli Switzerland
Brandon Essink United States
Rodrigo Fasce Chile
Clinton R. Paden United States
Matthew H. Collins United States
Karoline Bragstad Norway
Congrong Miao relative to Francesco Bonfante Italy Francesco Bonfante's profile →
Citations per field
00.5×3.3×
Francesco Bonfante · 1×
Citations per year

Countries citing papers authored by Congrong Miao

Since Specialization
Citations

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

Fields of papers citing papers by Congrong Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congrong Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Congrong Miao. A scholar is included among the top collaborators of Congrong 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 Congrong Miao. Congrong 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
#WorkIndexed citations
1 2
2 6
3 8
4 18
5 5
6 15
7 25
8 25
9 34
10 42
11 55
12 62
13 16
14 15
15 64
16 114
17 67
18 16
19 15
20 18

About Congrong Miao

Congrong Miao is a scholar working on Infectious Diseases, Virology and Modeling and Simulation, having authored 26 papers that have together received 843 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Respiratory viral infections research (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Infectious Diseases (481 citations), Modeling and Simulation (105 citations) and Epidemiology (431 citations). Congrong Miao has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Lia M. Haynes, Hayat Caidi, Larry J. Anderson, Ralph A. Tripp, Jennifer L. Harcourt, Susan I. Gerber, Azaibi Tamin, Natalie J. Thornburg, Mohannad Al Nsour and Sultan Alqasrawi. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Virology.

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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