Fabian Stögbauer

1.4k total citations
52 papers, 653 citations indexed

About

Fabian Stögbauer is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fabian Stögbauer has authored 52 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 18 papers in Molecular Biology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fabian Stögbauer's work include Head and Neck Cancer Studies (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Genomics and Diagnostics (5 papers). Fabian Stögbauer is often cited by papers focused on Head and Neck Cancer Studies (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Genomics and Diagnostics (5 papers). Fabian Stögbauer collaborates with scholars based in Germany, United States and Belgium. Fabian Stögbauer's co-authors include Peter Young, Vincent Timmerman, Bernhard Haller, Christoph Späth, Dirk Wilhelm, Ulrich Nitsche, Helmut Friess, Franz G. Bader, Barbara Wollenberg and Albrecht Stenzinger and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Scientific Reports.

In The Last Decade

Fabian Stögbauer

47 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabian Stögbauer Germany 16 209 182 114 101 100 52 653
A. Stessin United States 16 147 0.7× 157 0.9× 171 1.5× 58 0.6× 189 1.9× 36 629
Joseph D. DiDomenico United States 13 166 0.8× 168 0.9× 66 0.6× 27 0.3× 76 0.8× 34 566
Camille Charbonnier France 12 294 1.4× 371 2.0× 150 1.3× 45 0.4× 99 1.0× 23 902
Fiona Chionh Australia 15 393 1.9× 344 1.9× 152 1.3× 49 0.5× 105 1.1× 26 839
Heidy Zinger Israel 23 157 0.8× 166 0.9× 49 0.4× 53 0.5× 99 1.0× 49 1.5k
Martin P. Powers United States 11 91 0.4× 349 1.9× 133 1.2× 47 0.5× 38 0.4× 18 805
Emilia A. Korhonen Finland 9 240 1.1× 389 2.1× 48 0.4× 50 0.5× 76 0.8× 12 713
Hongfan Zhao China 13 98 0.5× 149 0.8× 52 0.5× 51 0.5× 95 0.9× 24 481
Sang Ho Kim South Korea 15 235 1.1× 199 1.1× 110 1.0× 24 0.2× 109 1.1× 33 673
Julia Onken Germany 19 90 0.4× 162 0.9× 194 1.7× 55 0.5× 249 2.5× 75 897

Countries citing papers authored by Fabian Stögbauer

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Stögbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Stögbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Stögbauer. A scholar is included among the top collaborators of Fabian Stögbauer 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 Fabian Stögbauer. Fabian Stögbauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haas, Anette, Mohid S. Khan, Azar Kazemi, et al.. (2025). An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 487(1). 3–12. 3 indexed citations
2.
Stögbauer, Fabian, et al.. (2025). Immunohistochemical Profiling of IDO1 and IL4I1 in Head and Neck Squamous Cell Carcinoma: Interplay for Metabolic Reprogramming?. International Journal of Molecular Sciences. 26(8). 3719–3719.
3.
Stögbauer, Fabian, Yuxiang Zhou, Susanne Beck, et al.. (2025). Multi-omics analysis to uncover the molecular basis of tumor budding in head and neck squamous cell carcinoma. npj Precision Oncology. 9(1). 73–73. 3 indexed citations
4.
Kloppenburg, M., Benedikt Hofauer, Barbara Wollenberg, et al.. (2024). Novel Detection of Pleomorphic Adenomas via Analysis of 68Ga-DOTATOC PET/CT Imaging. Cancers. 16(15). 2624–2624.
5.
Visioli, Fernanda, Mahnaz Bonrouhi, Kinga Pajdzik, et al.. (2024). The Role of SOX2 and SOX9 in Radioresistance and Tumor Recurrence. Cancers. 16(2). 439–439. 9 indexed citations
6.
Hoch, Cosima C., Leonard Knoedler, Samuel Knoedler, et al.. (2024). Integrated Molecular and Histological Insights for Targeted Therapies in Mesenchymal Sinonasal Tract Tumors. Current Oncology Reports. 26(3). 272–291.
8.
Haas, Anette, et al.. (2024). Digitalisierung der histopathologischen Routinediagnostik. PubMed. 45(2). 98–105. 2 indexed citations
9.
Hoch, Cosima C., Fabian Stögbauer, & Barbara Wollenberg. (2023). Unraveling the Role of Epithelial–Mesenchymal Transition in Adenoid Cystic Carcinoma of the Salivary Glands: A Comprehensive Review. Cancers. 15(11). 2886–2886. 4 indexed citations
10.
Stögbauer, Fabian, et al.. (2023). Establishment of a Machine Learning Model for the Risk Assessment of Perineural Invasion in Head and Neck Squamous Cell Carcinoma. International Journal of Molecular Sciences. 24(10). 8938–8938. 12 indexed citations
11.
Kazemi, Azar, Masoumeh Gharib, Nema Mohamadian Roshan, et al.. (2023). Assessment of the Tumor–Stroma Ratio and Tumor-Infiltrating Lymphocytes in Colorectal Cancer: Inter-Observer Agreement Evaluation. Diagnostics. 13(14). 2339–2339. 5 indexed citations
12.
Hofauer, Benedikt, Markus Wirth, Barbara Wollenberg, et al.. (2023). Novel Discovery of the Somatostatin Receptor (SSTR2) in Pleomorphic Adenomas via Immunohistochemical Analysis of Tumors of the Salivary Glands. Cancers. 15(15). 3917–3917. 2 indexed citations
13.
Stögbauer, Fabian, Kristian Unger, Julia Heß, et al.. (2023). A Novel Subgroup of UCHL1-Related Cancers Is Associated with Genomic Instability and Sensitivity to DNA-Damaging Treatment. Cancers. 15(6). 1655–1655. 1 indexed citations
14.
Reyes, Carmen Mota, Fabian Stögbauer, Henrik Einwächter, et al.. (2023). Carcinoid syndrome caused by a pulmonary carcinoid mimics intestinal manifestations of ulcerative colitis: A case report. World Journal of Gastroenterology. 29(33). 5014–5019.
15.
Stögbauer, Fabian, Christine Brambs, Tim Kacprowski, et al.. (2023). Independent Tissue-Based Biomarkers in Endometrioid Endometrial Cancer: Tumor Budding in Microsatellite Instability and WHO Grading in Copy-Number-Low Patients. Cancers. 15(15). 3832–3832. 1 indexed citations
16.
Boxberg, Melanie, Fabian Stögbauer, Christof Winter, et al.. (2022). NOTCH1 Intracellular Domain and the Tumor Microenvironment as Prognostic Markers in HNSCC. Cancers. 14(4). 1080–1080. 8 indexed citations
17.
18.
Jesinghaus, Moritz, Katja Steiger, Fabian Stögbauer, et al.. (2020). Pre-operative cellular dissociation grading in biopsies is highly predictive of post-operative tumour stage and patient outcome in head and neck squamous cell carcinoma. British Journal of Cancer. 122(6). 835–846. 13 indexed citations
20.
Leichsenring, Jonas, Anna‐Lena Volckmar, Martina Kirchner, et al.. (2017). Targeted deep sequencing of effusion cytology samples is feasible, informs spatiotemporal tumor evolution, and has clinical and diagnostic utility. Genes Chromosomes and Cancer. 57(2). 70–79. 13 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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