Maohong Cao

64 total papers · 797 total citations
48 papers, 626 citations indexed

About

Maohong Cao is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Maohong Cao has authored 48 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Neurology and 10 papers in Physiology. Recurrent topics in Maohong Cao's work include Intracerebral and Subarachnoid Hemorrhage Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Alzheimer's disease research and treatments (5 papers). Maohong Cao is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Alzheimer's disease research and treatments (5 papers). Maohong Cao collaborates with scholars based in China, United States and Taiwan. Maohong Cao's co-authors include Kaifu Ke, Jiabing Shen, Cheng‐Xin Gong, Fei Liu, Xiaomin Yin, Nana Jin, Khalid Iqbal, Xiaosong Gu, Heyi Zheng and Wei Xu and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Gene.

In The Last Decade

Maohong Cao

46 papers receiving 620 citations

Author Peers

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

Author Last Decade Papers Cites
Maohong Cao 326 161 124 116 80 48 626
Isabel Paiva 261 0.8× 173 1.1× 125 1.0× 89 0.8× 83 1.0× 67 761
Wanlin Yang 252 0.8× 184 1.1× 133 1.1× 143 1.2× 40 0.5× 36 691
Haiyang Luo 322 1.0× 188 1.2× 98 0.8× 114 1.0× 33 0.4× 45 642
Abdul Shukkur Ebrahim 272 0.8× 119 0.7× 123 1.0× 87 0.8× 49 0.6× 35 682
Mingxia Bi 296 0.9× 149 0.9× 108 0.9× 111 1.0× 81 1.0× 34 636
Xiang Yin 347 1.1× 133 0.8× 88 0.7× 92 0.8× 44 0.6× 35 682
Eugenio Gutiérrez Jiménez 277 0.8× 130 0.8× 101 0.8× 102 0.9× 51 0.6× 33 709
Ionica Pirici 214 0.7× 105 0.7× 101 0.8× 112 1.0× 48 0.6× 41 625
Yan Zhan 224 0.7× 178 1.1× 66 0.5× 80 0.7× 92 1.1× 34 706
Masaharu Hayashi 478 1.5× 111 0.7× 81 0.7× 89 0.8× 39 0.5× 40 749

Countries citing papers authored by Maohong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Maohong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maohong Cao

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