Mao‐Mao An

35 total papers · 614 total citations
26 papers, 463 citations indexed

About

Mao‐Mao An is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Mao‐Mao An has authored 26 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 11 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Mao‐Mao An's work include Antifungal resistance and susceptibility (13 papers), Fungal Infections and Studies (9 papers) and Bacterial biofilms and quorum sensing (4 papers). Mao‐Mao An is often cited by papers focused on Antifungal resistance and susceptibility (13 papers), Fungal Infections and Studies (9 papers) and Bacterial biofilms and quorum sensing (4 papers). Mao‐Mao An collaborates with scholars based in China, Philippines and Thailand. Mao‐Mao An's co-authors include Yuanying Jiang, Jundong Zhang, Yongbing Cao, Hai‐Sheng Chen, Ping‐Hui Gao, Lan Yan, Zheng Xu, Yan Wang, Xin‐Ming Jia and Rui Wang and has published in prestigious journals such as Biomaterials, ACS Applied Materials & Interfaces and Journal of Controlled Release.

In The Last Decade

Mao‐Mao An

25 papers receiving 442 citations

Author Peers

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

Author Last Decade Papers Cites
Mao‐Mao An 182 156 103 99 76 26 463
Marcelo Gonzaga de Freitas Araújo 89 0.5× 113 0.7× 110 1.1× 73 0.7× 127 1.7× 30 500
Bruna Vidal Bonifácio 103 0.6× 164 1.1× 78 0.8× 67 0.7× 104 1.4× 13 476
Allan Henrique Depieri Cataneo 102 0.6× 101 0.6× 90 0.9× 74 0.7× 49 0.6× 25 551
Alberto Jorge Oliveira Lopes 94 0.5× 163 1.0× 94 0.9× 88 0.9× 126 1.7× 23 530
Cristina de Castro Spadari 75 0.4× 162 1.0× 78 0.8× 143 1.4× 49 0.6× 23 459
Ufuk Abbasoğlu 140 0.8× 72 0.5× 60 0.6× 48 0.5× 110 1.4× 30 540
Chunyan Lu 166 0.9× 146 0.9× 77 0.7× 91 0.9× 36 0.5× 31 539
Christina C. Tam 121 0.7× 50 0.3× 93 0.9× 61 0.6× 128 1.7× 32 473
Jung Sun Min 190 1.0× 91 0.6× 49 0.5× 109 1.1× 29 0.4× 18 517
Rajendra Prasad 172 0.9× 141 0.9× 95 0.9× 87 0.9× 63 0.8× 19 429

Countries citing papers authored by Mao‐Mao An

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Mao An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Mao An. 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 Mao‐Mao An. The network helps show where Mao‐Mao An may publish in the future.

Co-authorship network of co-authors of Mao‐Mao An

This figure shows the co-authorship network connecting the top 25 collaborators of Mao‐Mao An. A scholar is included among the top collaborators of Mao‐Mao An 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 Mao‐Mao An. Mao‐Mao An 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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