Mai‐Juan Ma

3.0k citations
64 papers · 1.7k indexed · h-index 22
Topics
Influenza Virus Research Studies (25 papers)Animal Disease Management and Epidemiology (23 papers)SARS-CoV-2 and COVID-19 Research (21 papers)

In The Last Decade

Mai‐Juan Ma

63 papers receiving 1.7k citations

Peers

Mai‐Juan Ma
Comparison fields: 5 of 101
  • Infectious Diseases 1.1k
  • Epidemiology 464
  • Parasitology 241
  • Agronomy and Crop Science 236
  • Public Health, Environmental and Occupational Health 206
Replace Reina S. Sikkema with:
Reina S. Sikkema Netherlands
Licia Bordi Italy
Douglas S. Reed United States
Benjamin D. Anderson United States
Julien Beauté Sweden
Alessandra Falchi France
Julu Bhatnagar United States
Satu Kurkela Finland
Isabelle Schuffenecker France
Amy L. Hartman United States
Mai‐Juan Ma relative to Reina S. Sikkema Netherlands Reina S. Sikkema's profile →
Citations per field
00.5×
Reina S. Sikkema · 1×
Citations per year

Countries citing papers authored by Mai‐Juan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Mai‐Juan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai‐Juan Ma. 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 Mai‐Juan Ma. The network helps show where Mai‐Juan Ma may publish in the future.

Co-authorship network of co-authors of Mai‐Juan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Mai‐Juan Ma. A scholar is included among the top collaborators of Mai‐Juan Ma 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 Mai‐Juan Ma. Mai‐Juan Ma 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 1
2 0
3 2
4 5
5 7
6 1
7 14
8 9
9 4
10 7
11 14
12 30
13 43
14 14
15 58
16 7
17 2
18 19
19
[Emerging adenovirus threats: should China develop a vaccine-oriented prevention strategy?].
1
20 9

About Mai‐Juan Ma

Mai‐Juan Ma is a scholar working on Infectious Diseases, Agronomy and Crop Science and Epidemiology, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), Animal Disease Management and Epidemiology (23 papers) and SARS-CoV-2 and COVID-19 Research (21 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Modeling and Simulation (172 citations) and Parasitology (241 citations). Mai‐Juan Ma has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Wu‐Chun Cao, Wei Liu, Gregory C. Gray, Fang Tang, Hong Yang, Zhong‐Tao Xin, Jan Hendrik Richardus, Yan Quan, Tianbao Wang and Hui Lv. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Clinical Infectious Diseases.

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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