Miao Li

2.3k total citations · 1 hit paper
82 papers, 1.5k citations indexed

About

Miao Li is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Miao Li has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Public Health, Environmental and Occupational Health and 9 papers in Infectious Diseases. Recurrent topics in Miao Li's work include Mosquito-borne diseases and control (6 papers), RNA modifications and cancer (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). Miao Li is often cited by papers focused on Mosquito-borne diseases and control (6 papers), RNA modifications and cancer (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). Miao Li collaborates with scholars based in China, United States and Canada. Miao Li's co-authors include Enyue Fang, Zelun Zhang, Yuhua Li, Jingjing Liu, Xiaohui Liu, Danhua Zhao, Xiaohong Wu, Lifang Song, Youfa Wang and Jungwon Min and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Miao Li

70 papers receiving 1.5k citations

Hit Papers

Advances in COVID-19 mRNA vaccine development 2022 2026 2023 2024 2022 100 200 300

Peers

Miao Li
Comparison fields: 5 of 152
  • Molecular Biology 583
  • Infectious Diseases 294
  • Immunology 255
  • Public Health, Environmental and Occupational Health 203
  • Epidemiology 181
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Yuanyuan Li China
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Yuanyuan Li China View profile →
Citations per field, relative to Miao Li
Miao Li · 1×
Citations per year, relative to Miao Li
Miao Li · 1×

Countries citing papers authored by Miao Li

Since Specialization
Citations

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

Fields of papers citing papers by Miao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Li. A scholar is included among the top collaborators of Miao Li 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 Miao Li. Miao Li 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 0
2 0
3 2
4 4
5 5
6 68
7 6
8 2
9 6
10 13
11 20
12
Advances in COVID-19 mRNA vaccine development breakdown →
382
13 47
14 5
15 64
16 34
17
Screening and identification of antagonistic strain against Phytophthora sojae.
2
18
Application of Association Analysis in QTL Mapping
1
19 20
20 21

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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