Xiaobo Mao

53 total papers · 1.4k total citations
40 papers, 1.0k citations indexed

About

Xiaobo Mao is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Xiaobo Mao has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Xiaobo Mao's work include Atherosclerosis and Cardiovascular Diseases (14 papers), T-cell and B-cell Immunology (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Xiaobo Mao is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (14 papers), T-cell and B-cell Immunology (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Xiaobo Mao collaborates with scholars based in China, United States and Poland. Xiaobo Mao's co-authors include Qiutang Zeng, Xiang Cheng, Yucheng Zhong, Xiaoqi Zhao, Guiwen Yi, Min Cheng, Kai Meng, Qiutang Zeng, Bangwei Wu and Songnan Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaobo Mao

37 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Xiaobo Mao 475 363 185 180 160 40 1.0k
Lu Gao 595 1.3× 239 0.7× 133 0.7× 246 1.4× 182 1.1× 59 1.2k
Yang Li 514 1.1× 192 0.5× 124 0.7× 148 0.8× 116 0.7× 24 1.0k
Pontus Dunér 485 1.0× 550 1.5× 154 0.8× 164 0.9× 197 1.2× 44 1.2k
Nirav Dhanesha 491 1.0× 334 0.9× 152 0.8× 133 0.7× 168 1.1× 52 1.2k
Jianhui Zhuang 414 0.9× 181 0.5× 155 0.8× 202 1.1× 93 0.6× 41 932
Zhaoqiang Cui 613 1.3× 195 0.5× 96 0.5× 206 1.1× 186 1.2× 26 1.1k
Anthony G. Passerini 499 1.1× 302 0.8× 195 1.1× 224 1.2× 213 1.3× 31 1.2k
Hiroshi Ohkawara 322 0.7× 254 0.7× 130 0.7× 180 1.0× 134 0.8× 59 949
Qiu‐Yue Lin 422 0.9× 225 0.6× 113 0.6× 335 1.9× 95 0.6× 42 945
Mihaela Nitulescu 413 0.9× 509 1.4× 180 1.0× 226 1.3× 182 1.1× 27 1.2k

Countries citing papers authored by Xiaobo Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Mao

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