Jun Ma

125 papers and 2.0k indexed citations i.

About

Jun Ma is a scholar working on Genetics, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Ma has authored 125 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 21 papers in Surgery and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Ma’s work include Glioma Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Vascular Malformations Diagnosis and Treatment (9 papers). Jun Ma is often cited by papers focused on Glioma Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Vascular Malformations Diagnosis and Treatment (9 papers). Jun Ma collaborates with scholars based in China, United States and Sweden. Jun Ma's co-authors include Tao Jiang, Kerstin Brismar, Chet W. Hammill, Paul Hansen, Shaghayegh Aliabadi‐Wahle, Maria A. Cassera, Georg Spaun, Yinyan Wang, Clark C. Chen and Suad Efendić and has published in prestigious journals such as PLoS ONE, NeuroImage and Oncogene.

In The Last Decade

Co-authorship network of co-authors of Jun Ma i

Fields of papers citing papers by Jun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Ma

Since Specialization
Citations

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

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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