Sanaz A. Jansen

31 total papers · 1.1k total citations
23 papers, 879 citations indexed

About

Sanaz A. Jansen is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Sanaz A. Jansen has authored 23 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Oncology and 4 papers in Artificial Intelligence. Recurrent topics in Sanaz A. Jansen's work include MRI in cancer diagnosis (20 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced MRI Techniques and Applications (11 papers). Sanaz A. Jansen is often cited by papers focused on MRI in cancer diagnosis (20 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced MRI Techniques and Applications (11 papers). Sanaz A. Jansen collaborates with scholars based in United States, Japan and Germany. Sanaz A. Jansen's co-authors include Gillian M. Newstead, Gregory S. Karczmar, Xiaobing Fan, Maryellen L. Giger, Akiko Shimauchi, Hiroyuki Abé, Robert A. Schmidt, Hui Li, Neha Bhooshan and Lan Li and has published in prestigious journals such as Radiology, Magnetic Resonance in Medicine and American Journal of Roentgenology.

In The Last Decade

Sanaz A. Jansen

23 papers receiving 863 citations

Author Peers

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

Author Last Decade Papers Cites
Sanaz A. Jansen 766 203 188 132 63 23 879
P. Viehweg 795 1.0× 519 2.6× 102 0.5× 204 1.5× 38 0.6× 19 958
B. Boné 729 1.0× 353 1.7× 57 0.3× 161 1.2× 47 0.7× 31 857
Georg Wengert 773 1.0× 156 0.8× 181 1.0× 119 0.9× 169 2.7× 37 970
Jennifer S. Drukteinis 485 0.6× 176 0.9× 158 0.8× 191 1.4× 142 2.3× 30 971
Luca Alessandro Carbonaro 637 0.8× 230 1.1× 196 1.0× 163 1.2× 218 3.5× 47 894
S. Heywang 653 0.9× 270 1.3× 54 0.3× 134 1.0× 78 1.2× 22 790
Jan van Zelst 471 0.6× 196 1.0× 308 1.6× 87 0.7× 195 3.1× 23 719
Sandra Brennan 457 0.6× 346 1.7× 83 0.4× 218 1.7× 101 1.6× 25 809
Lia Bartella 515 0.7× 376 1.9× 63 0.3× 185 1.4× 83 1.3× 15 847
A. Heinig 791 1.0× 548 2.7× 78 0.4× 142 1.1× 63 1.0× 30 928

Countries citing papers authored by Sanaz A. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Sanaz A. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanaz A. Jansen. 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 Sanaz A. Jansen. The network helps show where Sanaz A. Jansen may publish in the future.

Co-authorship network of co-authors of Sanaz A. Jansen

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