Changqing Wang

139 total papers · 3.3k total citations
65 papers, 1.7k citations indexed

About

Changqing Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Changqing Wang has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Changqing Wang's work include Advanced MRI Techniques and Applications (5 papers), Cancer-related Molecular Pathways (5 papers) and Functional Brain Connectivity Studies (5 papers). Changqing Wang is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Cancer-related Molecular Pathways (5 papers) and Functional Brain Connectivity Studies (5 papers). Changqing Wang collaborates with scholars based in China, United States and Singapore. Changqing Wang's co-authors include Jeffrey J. Molldrem, Mark M. Davis, Peter P. Lee, Hagop M. Kantarjian, Richard E. Champlin, Kyrie Felio, Kai Wang, Tatia M.C. Lee, Jin Fan and Eric Wieder and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Changqing Wang

63 papers receiving 1.7k citations

Hit Papers

Evidence that specific T ... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Changqing Wang 533 412 377 312 310 65 1.7k
Valentina Bianchi 628 1.2× 381 0.9× 316 0.8× 195 0.6× 156 0.5× 66 2.2k
Julia Reinhardt 220 0.4× 195 0.5× 209 0.6× 253 0.8× 415 1.3× 48 1.3k
Antonio Bruno 262 0.5× 627 1.5× 322 0.9× 75 0.2× 683 2.2× 83 1.8k
Lijun Jiang 187 0.4× 154 0.4× 395 1.0× 312 1.0× 477 1.5× 89 1.9k
Katharina Fink 480 0.9× 96 0.2× 476 1.3× 87 0.3× 187 0.6× 65 2.0k
Jan Aarseth 258 0.5× 99 0.2× 190 0.5× 154 0.5× 182 0.6× 66 2.1k
Thomas Schenk 113 0.2× 351 0.9× 147 0.4× 172 0.6× 128 0.4× 59 1.5k
Gilles Edan 208 0.4× 256 0.6× 220 0.6× 51 0.2× 176 0.6× 66 1.8k
George B. Selby 290 0.5× 483 1.2× 166 0.4× 65 0.2× 153 0.5× 99 1.8k
Beth Wilmot 125 0.2× 550 1.3× 135 0.4× 225 0.7× 709 2.3× 70 1.9k

Countries citing papers authored by Changqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Changqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changqing Wang

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