Roman D. Bülow

2.5k total citations · 1 hit paper
31 papers, 762 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 31 papers receiving a total of 762 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), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 and healthcare impacts (6 papers). Roman D. Bülow is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and COVID-19 and healthcare impacts (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, Nassim Bouteldja, Barbara M. Klinkhammer, Jürgen Floege, Ivan G. Costa, Sonja Djudjaj, Alireza Vafaei Sadr and Pavel Strnad 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

29 papers receiving 756 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Extracellular Matrix in Kidney Fibrosis: More Than Just a Scaffold

2019 270 citations Roman D. Bülow, Peter Boor profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Roman D. Bülow Germany	12	229	207	136	129	105	31	762
Nan Chen China	13	228 1.0×	128 0.6×	79 0.6×	38 0.3×	30 0.3×	57	624
Shaoshan Liang China	17	177 0.8×	681 3.3×	235 1.7×	54 0.4×	43 0.4×	53	991
Antonella Barreca Italy	21	416 1.8×	230 1.1×	130 1.0×	49 0.4×	34 0.3×	86	1.3k
Ki‐Jo Kim South Korea	18	250 1.1×	45 0.2×	89 0.7×	41 0.3×	25 0.2×	56	1.0k
Parker C. Wilson United States	17	919 4.0×	598 2.9×	202 1.5×	56 0.4×	33 0.3×	35	1.7k
Jessica Schmitz Germany	17	462 2.0×	200 1.0×	303 2.2×	46 0.4×	15 0.1×	67	1.4k
Gordana Basta-Jovanović Serbia	16	191 0.8×	229 1.1×	128 0.9×	35 0.3×	20 0.2×	49	634
De‐Guang Wang China	18	439 1.9×	30 0.1×	38 0.3×	40 0.3×	32 0.3×	58	1.2k
Claus Lohman Brasen Denmark	11	152 0.7×	120 0.6×	41 0.3×	22 0.2×	15 0.1×	47	461

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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20 of 20 papers shown

Hölscher, David L. & Roman D. Bülow. (2024). Decoding pathology: the role of computational pathology in research and diagnostics. Pflügers Archiv - European Journal of Physiology. 477(4). 555–570. 2 indexed citations

Strauch, Martin, Alireza Vafaei Sadr, Huong Thi Thanh Nguyen, et al.. (2024). Ecologically sustainable benchmarking of AI models for histopathology. npj Digital Medicine. 7(1). 378–378. 2 indexed citations

Bülow, Roman D., et al.. (2024). Künstliche Intelligenz in der Nierentransplantationspathologie. PubMed. 45(4). 277–283. 1 indexed citations

Hölscher, David L., et al.. (2024). tRigon: an R package and Shiny App for integrative (path-)omics data analysis. BMC Bioinformatics. 25(1). 98–98. 2 indexed citations

Stillfried, Saskia von, Ulrike Nienaber, Roman D. Bülow, et al.. (2024). Entwicklung und Fortschritte des Nationalen Obduktionsnetzwerks (NATON). PubMed. 45(3). 203–210. 1 indexed citations

Bülow, Roman D., et al.. (2024). Fortschritte in der computergestützten quantitativen Nephropathologie. PubMed. 45(2). 140–145.

Hölscher, David L., Nassim Bouteldja, María Luisa Russo, et al.. (2023). Next-Generation Morphometry for pathomics-data mining in histopathology. Nature Communications. 14(1). 470–470. 67 indexed citations

Kusunoki, Yoshihiro, Chenyu Li, Martin Klaus, et al.. (2023). Finerenone Added to RAS/SGLT2 Blockade for CKD in Alport Syndrome. Results of a Randomized Controlled Trial with Col4a3 −/− Mice. Journal of the American Society of Nephrology. 34(9). 1513–1520. 35 indexed citations

Sadr, Alireza Vafaei, Roman D. Bülow, Saskia von Stillfried, et al.. (2023). Operational greenhouse-gas emissions of deep learning in digital pathology: a modelling study. The Lancet Digital Health. 6(1). e58–e69. 22 indexed citations

10.

Parra‐Tabla, Víctor, Roman D. Bülow, Christoph Kuppe, et al.. (2023). Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT). Molecular Systems Biology. 20(2). 57–74. 13 indexed citations

11.

Bülow, Roman D., David L. Hölscher, Ivan G. Costa, & Peter Boor. (2023). Extending the landscape of omics technologies by pathomics. npj Systems Biology and Applications. 9(1). 38–38. 28 indexed citations

12.

Thole, Linda Marie Laura, Arne Sattler, Muhammad Imtiaz Ashraf, et al.. (2022). Renal inflamm-aging provokes intra-graft inflammation following experimental kidney transplantation. American Journal of Transplantation. 22(11). 2529–2547. 18 indexed citations

13.

Djudjaj, Sonja, Panagiotis Kavvadas, Niki Prakoura, et al.. (2022). Activation of Notch3 in Renal Tubular Cells Leads to Progressive Cystic Kidney Disease. International Journal of Molecular Sciences. 23(2). 884–884. 5 indexed citations

14.

Bouteldja, Nassim, David L. Hölscher, Roman D. Bülow, et al.. (2022). Tackling stain variability using CycleGAN-based stain augmentation. Journal of Pathology Informatics. 13. 100140–100140. 7 indexed citations

15.

Kreutzer, Christina, Peter Boor, Roman D. Bülow, et al.. (2022). On the acceptance of “fake” histopathology: A study on frozen sections optimized with deep learning. Journal of Pathology Informatics. 13. 100168–100168. 9 indexed citations

16.

Stillfried, Saskia von, Roman D. Bülow, Sonja Djudjaj, et al.. (2021). SARS‐CoV‐2 RNA screening in routine pathology specimens. Microbial Biotechnology. 14(4). 1627–1641. 6 indexed citations

17.

Wong, Dickson W.L., Barbara M. Klinkhammer, Sonja Djudjaj, et al.. (2021). Multisystemic Cellular Tropism of SARS-CoV-2 in Autopsies of COVID-19 Patients. Cells. 10(8). 1900–1900. 43 indexed citations

18.

Stillfried, Saskia von, Till Acker, Martin Aepfelbacher, et al.. (2021). Cooperative approach of pathology and neuropathology in the COVID-19 pandemic. Der Pathologe. 42(S1). 69–75. 2 indexed citations

19.

Bouteldja, Nassim, Barbara M. Klinkhammer, Roman D. Bülow, et al.. (2020). Deep Learning–Based Segmentation and Quantification in Experimental Kidney Histopathology. Journal of the American Society of Nephrology. 32(1). 52–68. 101 indexed citations

20.

Djudjaj, Sonja, Marios Papasotiriou, Roman D. Bülow, et al.. (2016). Keratins are novel markers of renal epithelial cell injury. Kidney International. 89(4). 792–808. 73 indexed citations

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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