Mengmeng Wu

93 total papers · 661 total citations
50 papers, 428 citations indexed

About

Mengmeng Wu is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, Mengmeng Wu has authored 50 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 11 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Mengmeng Wu's work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Mengmeng Wu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Mengmeng Wu collaborates with scholars based in China, United States and United Kingdom. Mengmeng Wu's co-authors include Dongqin Yang, Xiaohong Wu, Ke Liang, Songjie Wu, Weiming Tang, Fuchen Liu, Wei Guo, Zhezhi Deng, Junjie Guo and Gifty Marley and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Mengmeng Wu

46 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
Mengmeng Wu 161 101 100 83 64 50 428
Yu Xie 109 0.7× 81 0.8× 96 1.0× 41 0.5× 55 0.9× 46 452
Yubo Zhao 190 1.2× 110 1.1× 46 0.5× 42 0.5× 35 0.5× 29 398
Ling Ding 138 0.9× 53 0.5× 30 0.3× 87 1.0× 74 1.2× 48 433
Xiaoqiang Qiu 199 1.2× 138 1.4× 54 0.5× 23 0.3× 81 1.3× 37 405
Xiang‐Qian Luo 133 0.8× 63 0.6× 34 0.3× 59 0.7× 27 0.4× 38 438
Suchismita Panda 187 1.2× 95 0.9× 39 0.4× 66 0.8× 58 0.9× 22 458
Yuling Wang 195 1.2× 62 0.6× 15 0.1× 73 0.9× 59 0.9× 31 444
Marianne Rodrigues Fernandes 148 0.9× 72 0.7× 55 0.6× 23 0.3× 94 1.5× 62 380
Maria Dobre 180 1.1× 120 1.2× 61 0.6× 40 0.5× 116 1.8× 50 492
Amira Elbendary 94 0.6× 26 0.3× 22 0.2× 83 1.0× 90 1.4× 38 392

Countries citing papers authored by Mengmeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengmeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengmeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengmeng Wu. A scholar is included among the top collaborators of Mengmeng Wu 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 Mengmeng Wu. Mengmeng Wu 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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