Hongda Shao

43 total papers · 1.0k total citations
33 papers, 630 citations indexed

About

Hongda Shao is a scholar working on Radiology, Nuclear Medicine and Imaging, Rheumatology and Nuclear and High Energy Physics. According to data from OpenAlex, Hongda Shao has authored 33 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Rheumatology and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Hongda Shao's work include Advanced MRI Techniques and Applications (17 papers), NMR spectroscopy and applications (5 papers) and Atomic and Subatomic Physics Research (4 papers). Hongda Shao is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), NMR spectroscopy and applications (5 papers) and Atomic and Subatomic Physics Research (4 papers). Hongda Shao collaborates with scholars based in China, United States and Spain. Hongda Shao's co-authors include Jiang Du, Eric Y. Chang, Yajun Ma, Graeme M. Bydder, Jun Chen, Michael Carl, Anthony Tadros, Chantal Pauli, Guangyu Tang and Christine B. Chung and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Hongda Shao

30 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Hongda Shao 387 159 136 125 94 33 630
Wen Ling 486 1.3× 114 0.7× 61 0.4× 153 1.2× 80 0.9× 18 778
Denise Davis 395 1.0× 55 0.3× 62 0.5× 61 0.5× 139 1.5× 20 736
Masaya Takahashi 514 1.3× 143 0.9× 67 0.5× 20 0.2× 71 0.8× 23 750
Tom Hilbert 551 1.4× 92 0.6× 43 0.3× 52 0.4× 39 0.4× 64 725
Hamidreza Saligheh Rad 439 1.1× 90 0.6× 92 0.7× 17 0.1× 61 0.6× 59 652
Junyu Guo 458 1.2× 96 0.6× 39 0.3× 62 0.5× 45 0.5× 39 748
Noam Ben‐Eliezer 611 1.6× 110 0.7× 23 0.2× 31 0.2× 31 0.3× 43 735
Christian Kunze 311 0.8× 75 0.5× 24 0.2× 33 0.3× 79 0.8× 42 647
Anja Müller‐Lutz 380 1.0× 117 0.7× 88 0.6× 192 1.5× 140 1.5× 64 771
Mei Wu 195 0.5× 121 0.8× 75 0.6× 90 0.7× 85 0.9× 61 682

Countries citing papers authored by Hongda Shao

Since Specialization
Citations

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

Fields of papers citing papers by Hongda Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongda Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongda Shao. A scholar is included among the top collaborators of Hongda Shao 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 Hongda Shao. Hongda Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026