John‐Paul J. Yu

97 total papers · 2.1k total citations
68 papers, 1.4k citations indexed

About

John‐Paul J. Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, John‐Paul J. Yu has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in John‐Paul J. Yu's work include Advanced Neuroimaging Techniques and Applications (14 papers), Radiology practices and education (8 papers) and Radiation Dose and Imaging (6 papers). John‐Paul J. Yu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (14 papers), Radiology practices and education (8 papers) and Radiation Dose and Imaging (6 papers). John‐Paul J. Yu collaborates with scholars based in United States, Canada and Switzerland. John‐Paul J. Yu's co-authors include Akash P. Kansagra, Gert N. Moll, Wilfred A. van der Donk, Бо Ли, Satish K. Nair, J.S. Brunzelle, John W. Garrett, Andrew F. Voter, John Mongan and Andrew L. Alexander and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

John‐Paul J. Yu

62 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
John‐Paul J. Yu 549 332 184 148 117 68 1.4k
Xuan V. Nguyen 492 0.9× 197 0.6× 145 0.8× 185 1.3× 78 0.7× 64 1.6k
Amir Ali Rahsepar 535 1.0× 162 0.5× 145 0.8× 62 0.4× 41 0.4× 66 1.4k
Lixia Wang 254 0.5× 282 0.8× 157 0.9× 106 0.7× 48 0.4× 96 1.7k
Qiong Li 550 1.0× 310 0.9× 495 2.7× 76 0.5× 31 0.3× 106 1.7k
Mohammad Mirza‐Aghazadeh‐Attari 210 0.4× 443 1.3× 123 0.7× 46 0.3× 29 0.2× 96 1.3k
Chuan Huang 981 1.8× 163 0.5× 128 0.7× 48 0.3× 43 0.4× 110 1.8k
Rui Han 571 1.0× 84 0.3× 180 1.0× 357 2.4× 92 0.8× 50 1.6k
Jie Cao 88 0.2× 433 1.3× 257 1.4× 142 1.0× 53 0.5× 73 1.6k
Kavitha Yaddanapudi 206 0.4× 512 1.5× 121 0.7× 83 0.6× 22 0.2× 73 1.7k
Andreas Leha 131 0.2× 339 1.0× 127 0.7× 162 1.1× 42 0.4× 86 1.3k

Countries citing papers authored by John‐Paul J. Yu

Since Specialization
Citations

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

Fields of papers citing papers by John‐Paul J. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John‐Paul J. Yu. 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 John‐Paul J. Yu. The network helps show where John‐Paul J. Yu may publish in the future.

Co-authorship network of co-authors of John‐Paul J. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of John‐Paul J. Yu. A scholar is included among the top collaborators of John‐Paul J. Yu 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 John‐Paul J. Yu. John‐Paul J. Yu 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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