Jiaji Mao

47 total papers · 1.3k total citations
29 papers, 999 citations indexed

About

Jiaji Mao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Genetics. According to data from OpenAlex, Jiaji Mao has authored 29 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 9 papers in Genetics. Recurrent topics in Jiaji Mao's work include Nanoparticle-Based Drug Delivery (9 papers), Glioma Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Jiaji Mao is often cited by papers focused on Nanoparticle-Based Drug Delivery (9 papers), Glioma Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Jiaji Mao collaborates with scholars based in China, United States and Hong Kong. Jiaji Mao's co-authors include Jun Shen, Xiaohui Duan, Fang Zhang, Minghui Cao, Liejing Lu, Xiang Zhang, Zehong Yang, Xintao Shuai, Meiwei Chen and Chushan Zheng and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Coordination Chemistry Reviews.

In The Last Decade

Jiaji Mao

28 papers receiving 989 citations

Author Peers

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

Author						Papers	Cites
Jiaji Mao	412	251	241	236	171	29	999
Liejing Lu	408 1.0×	261 1.0×	160 0.7×	232 1.0×	199 1.2×	36	926
Hemant Sarin	328 0.8×	391 1.6×	154 0.6×	376 1.6×	128 0.7×	20	1.1k
E Marecos	283 0.7×	357 1.4×	206 0.9×	280 1.2×	127 0.7×	19	938
Daniel Golovko	361 0.9×	217 0.9×	151 0.6×	193 0.8×	83 0.5×	21	916
Daehong Kim	419 1.0×	331 1.3×	266 1.1×	262 1.1×	277 1.6×	28	1.1k
A. Bogdanova	266 0.6×	356 1.4×	410 1.7×	315 1.3×	221 1.3×	18	1.2k
Brian Madajewski	508 1.2×	210 0.8×	178 0.7×	249 1.1×	114 0.7×	21	982
Emeline J. Ribot	202 0.5×	210 0.8×	215 0.9×	119 0.5×	112 0.7×	53	870
Joan M. Greve	370 0.9×	301 1.2×	173 0.7×	90 0.4×	71 0.4×	38	1.1k
Edit Dósa	225 0.5×	134 0.5×	220 0.9×	243 1.0×	193 1.1×	71	1.2k

Countries citing papers authored by Jiaji Mao

Since Specialization

Citations

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

Fields of papers citing papers by Jiaji Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaji Mao

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