Mai‐Juan Ma

95 total papers · 3.0k total citations
64 papers, 1.7k citations indexed

About

Mai‐Juan Ma is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, Mai‐Juan Ma has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Infectious Diseases, 31 papers in Epidemiology and 23 papers in Agronomy and Crop Science. Recurrent topics in Mai‐Juan Ma's 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). Mai‐Juan Ma is often cited by papers focused on Influenza Virus Research Studies (25 papers), Animal Disease Management and Epidemiology (23 papers) and SARS-CoV-2 and COVID-19 Research (21 papers). Mai‐Juan Ma collaborates with scholars based in China, United States and Singapore. Mai‐Juan Ma's co-authors include Wu‐Chun Cao, Wei Liu, Gregory C. Gray, Fang Tang, Zhong‐Tao Xin, Hong Yang, Jan Hendrik Richardus, Hui Lv, Tianbao Wang and Jens Wrammert and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Mai‐Juan Ma

63 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mai‐Juan Ma 1.1k 463 239 236 206 64 1.7k
Susanne Dudman 805 0.7× 1.1k 2.4× 191 0.8× 108 0.5× 183 0.9× 72 1.8k
Albert Osterhaus 912 0.8× 919 2.0× 130 0.5× 189 0.8× 159 0.8× 101 2.1k
Alexandra Mailles 1.2k 1.1× 917 2.0× 96 0.4× 61 0.3× 389 1.9× 81 2.4k
Xiang Ren 737 0.7× 396 0.9× 48 0.2× 138 0.6× 410 2.0× 73 1.7k
Steven Van Gucht 1.0k 0.9× 495 1.1× 202 0.8× 122 0.5× 155 0.8× 93 1.9k
Fang Tang 955 0.9× 147 0.3× 121 0.5× 55 0.2× 96 0.5× 47 1.4k
Kai Chu 1.4k 1.3× 275 0.6× 81 0.3× 97 0.4× 72 0.3× 49 1.8k
Santosh Dhakal 807 0.7× 430 0.9× 42 0.2× 153 0.6× 222 1.1× 83 1.9k
Balasubramanian Ganesh 1.2k 1.0× 306 0.7× 166 0.7× 158 0.7× 143 0.7× 75 2.0k
Youngmee Jee 1.1k 1.0× 579 1.3× 65 0.3× 110 0.5× 258 1.3× 83 1.9k

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

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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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