Shuai Na

24 total papers · 775 total citations
17 papers, 514 citations indexed

About

Shuai Na is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Shuai Na has authored 17 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Mechanics of Materials. Recurrent topics in Shuai Na's work include Photoacoustic and Ultrasonic Imaging (12 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and Thermography and Photoacoustic Techniques (5 papers). Shuai Na is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (12 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and Thermography and Photoacoustic Techniques (5 papers). Shuai Na collaborates with scholars based in United States, China and South Korea. Shuai Na's co-authors include Lihong V. Wang, Li Lin, Xiaoyun Yuan, Junhui Shi, Peng Hu, Konstantin Maslov, David C. Garrett, Xin Tong, Rui Cao and Lirong Yan and has published in prestigious journals such as Nature Communications, Applied Physics Letters and NeuroImage.

In The Last Decade

Shuai Na

16 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Shuai Na	457	248	193	24	21	17	514
Joie P. Jones	290 0.6×	246 1.0×	94 0.5×	14 0.6×	30 1.4×	40	505
Hanlin Wan	234 0.5×	315 1.3×	88 0.5×	58 2.4×	11 0.5×	11	493
Zhongwen Cheng	409 0.9×	164 0.7×	235 1.2×	20 0.8×	6 0.3×	38	456
Justine Robin	363 0.8×	275 1.1×	75 0.4×	13 0.5×	3 0.1×	22	455
Memona Khan	502 1.1×	195 0.8×	326 1.7×	13 0.5×	23 1.1×	14	541
Vijitha Periyasamy	497 1.1×	352 1.4×	172 0.9×	10 0.4×	10 0.5×	37	573
Sumit Agrawal	518 1.1×	246 1.0×	266 1.4×	9 0.4×	10 0.5×	37	554
E. H. Ooi	176 0.4×	260 1.0×	125 0.6×	36 1.5×	7 0.3×	12	505
William C. Vogt	423 0.9×	292 1.2×	101 0.5×	25 1.0×	4 0.2×	35	497
Gregory T. Martin	166 0.4×	126 0.5×	48 0.2×	26 1.1×	12 0.6×	17	457

Countries citing papers authored by Shuai Na

Since Specialization

Citations

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

Fields of papers citing papers by Shuai Na

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Na

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