Roman D. Bülow

73 total papers · 2.5k total citations
30 papers, 747 citations indexed

About

Roman D. Bülow is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Roman D. Bülow has authored 30 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Roman D. Bülow's work include AI in cancer detection (7 papers), COVID-19 and healthcare impacts (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Roman D. Bülow is often cited by papers focused on AI in cancer detection (7 papers), COVID-19 and healthcare impacts (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Roman D. Bülow collaborates with scholars based in Germany, United Kingdom and United States. Roman D. Bülow's co-authors include Peter Boor, Saskia von Stillfried, David L. Hölscher, Jürgen Floege, Nassim Bouteldja, Barbara M. Klinkhammer, Ivan G. Costa, Sonja Djudjaj, Alireza Vafaei Sadr and Clemens D. Cohen and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Kidney International.

In The Last Decade

Roman D. Bülow

28 papers receiving 740 citations

Hit Papers

Extracellular Matrix in K... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Roman D. Bülow 224 203 135 128 103 30 747
Dandan Liang 193 0.9× 318 1.6× 150 1.1× 54 0.4× 43 0.4× 52 786
A Ando 251 1.1× 119 0.6× 131 1.0× 27 0.2× 36 0.3× 45 667
Katherine Chorneyko 161 0.7× 86 0.4× 142 1.1× 28 0.2× 33 0.3× 17 669
Qian Yang 259 1.2× 152 0.7× 103 0.8× 71 0.6× 10 0.1× 39 652
Junyu Lu 183 0.8× 95 0.5× 79 0.6× 39 0.3× 14 0.1× 40 670
Anna Maria Di Palma 218 1.0× 387 1.9× 112 0.8× 31 0.2× 18 0.2× 20 702
Shaobo Hu 298 1.3× 25 0.1× 110 0.8× 121 0.9× 31 0.3× 52 878
Yishu Chen 102 0.5× 40 0.2× 117 0.9× 64 0.5× 37 0.4× 33 626
Jianqiu Kong 231 1.0× 27 0.1× 154 1.1× 110 0.9× 18 0.2× 34 806
Wenkai Tan 367 1.6× 52 0.3× 49 0.4× 23 0.2× 45 0.4× 23 739

Countries citing papers authored by Roman D. Bülow

Since Specialization
Citations

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

Fields of papers citing papers by Roman D. Bülow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roman D. Bülow. 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 Roman D. Bülow. The network helps show where Roman D. Bülow may publish in the future.

Co-authorship network of co-authors of Roman D. Bülow

This figure shows the co-authorship network connecting the top 25 collaborators of Roman D. Bülow. A scholar is included among the top collaborators of Roman D. Bülow 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 Roman D. Bülow. Roman D. Bülow 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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