Jiangdi Mao

33 total papers · 410 total citations
20 papers, 269 citations indexed

About

Jiangdi Mao is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Jiangdi Mao has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Immunology. Recurrent topics in Jiangdi Mao's work include Gut microbiota and health (14 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Reproductive System and Pregnancy (3 papers). Jiangdi Mao is often cited by papers focused on Gut microbiota and health (14 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Reproductive System and Pregnancy (3 papers). Jiangdi Mao collaborates with scholars based in China, United States and Egypt. Jiangdi Mao's co-authors include Haifeng Wang, Xin Luo, Jianxin Liu, Yanjun Cui, Christopher M. Reilly, Qinghui Mu, Tao Zhu, Zhaoxi Deng, Yifan Zhong and Wenjie Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Jiangdi Mao

18 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
Jiangdi Mao 144 64 58 57 41 20 269
Celine Chen 108 0.8× 58 0.9× 24 0.4× 25 0.4× 29 0.7× 22 240
Lícia Torres 150 1.0× 46 0.7× 32 0.6× 42 0.7× 33 0.8× 17 297
Hossein Keyvani 171 1.2× 52 0.8× 86 1.5× 48 0.8× 41 1.0× 15 327
Sumanee Nilgate 147 1.0× 44 0.7× 88 1.5× 74 1.3× 39 1.0× 13 289
Navid Sahebekhtiari 109 0.8× 50 0.8× 58 1.0× 18 0.3× 18 0.4× 17 311
Maryse Moya‐Nilges 204 1.4× 33 0.5× 107 1.8× 56 1.0× 39 1.0× 15 328
Binghong Xu 138 1.0× 64 1.0× 35 0.6× 68 1.2× 18 0.4× 29 310
Tomomi Hasegawa 63 0.4× 26 0.4× 37 0.6× 31 0.5× 85 2.1× 20 308
Ester Arévalo Sureda 116 0.8× 31 0.5× 32 0.6× 30 0.5× 32 0.8× 24 324
Wei Chunhua 71 0.5× 31 0.5× 67 1.2× 64 1.1× 21 0.5× 12 293

Countries citing papers authored by Jiangdi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangdi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangdi Mao

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