Ulf Neuberger

32 total papers · 1.9k total citations
15 papers, 746 citations indexed

About

Ulf Neuberger is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology. According to data from OpenAlex, Ulf Neuberger has authored 15 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Ulf Neuberger's work include Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced MRI Techniques and Applications (3 papers). Ulf Neuberger is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced MRI Techniques and Applications (3 papers). Ulf Neuberger collaborates with scholars based in Germany, United States and Switzerland. Ulf Neuberger's co-authors include Martin Bendszus, Philipp Kickingereder, Wolfgang Wick, David Bonekamp, Klaus Maier‐Hein, Antje Wick, Sabine Heiland, Gianluca Brugnara, Heinz‐Peter Schlemmer and Fabian Isensee and has published in prestigious journals such as Clinical Cancer Research, Human Brain Mapping and American Journal of Neuroradiology.

In The Last Decade

Ulf Neuberger

14 papers receiving 738 citations

Hit Papers

Automated brain extractio... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ulf Neuberger 483 277 142 93 80 15 746
Sohi Bae 670 1.4× 480 1.7× 182 1.3× 117 1.3× 53 0.7× 20 876
Gianluca Brugnara 414 0.9× 201 0.7× 132 0.9× 127 1.4× 150 1.9× 31 758
Hai‐Yan Nan 466 1.0× 286 1.0× 118 0.8× 221 2.4× 38 0.5× 26 827
Karoline Skogen 486 1.0× 151 0.5× 150 1.1× 44 0.5× 58 0.7× 23 666
Baoshi Chen 210 0.4× 394 1.4× 137 1.0× 95 1.0× 48 0.6× 18 700
Virginia Hill 479 1.0× 244 0.9× 110 0.8× 97 1.0× 30 0.4× 27 658
Maarten M.J. Wijnenga 427 0.9× 669 2.4× 194 1.4× 95 1.0× 164 2.0× 21 803
Jay Patel 444 0.9× 202 0.7× 179 1.3× 46 0.5× 25 0.3× 31 717
Chaofeng Liang 394 0.8× 274 1.0× 142 1.0× 73 0.8× 36 0.5× 26 711
Hwan-ho Cho 668 1.4× 171 0.6× 214 1.5× 96 1.0× 20 0.3× 29 805

Countries citing papers authored by Ulf Neuberger

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Neuberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulf Neuberger

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