Fabian Stögbauer

59 papers receiving 1.1k citations

Fabian Stögbauer's Hit Papers

A distinct stimulatory cDC1 subpopulation amplifies CD8+ T cell responses in tumors for protective anti-cancer immunity 2023 · 151 citations
1510+1+2Years since publication50100150

Peers

Fabian Stögbauer
Comparison fields: 5 of 86
  • Health Informatics 49
  • Oncology 346
  • Cancer Research 145
  • Otorhinolaryngology 41
  • Neurology 64
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Thomas F. Barrett United States
Taishi Takahara Japan
Zenghui Qian China
Aurore Siegfried France
Mariane da Cunha Jaeger Brazil
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Hirokazu Takami Japan
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Citations per year

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-authors

The 25 scholars most cited alongside Fabian Stögbauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabian Stögbauer Line = papers co-authored together Fabian Stögbauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A distinct stimulatory cDC1 subpopulation amplifies CD8+ T cell responses in tumors for protective anti-cancer immunity
Hit paper breakdown →
2023151
2 201681
3 200066
4 200251
5 200951
6 201950
7 201944
8 201944
9 202041
10 202438
11 201937
12 201732
13 202430
14 202027
15 199826
16 202325
17 201822
18 201821
19 200918
20 200918

About Fabian Stögbauer

Fabian Stögbauer is a scholar working on Otorhinolaryngology, Cancer Research, Oncology, Health Informatics and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (10 papers), Cancer Genomics and Diagnostics (7 papers), RNA modifications and cancer (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Hereditary Neurological Disorders (3 papers). The work is most often cited by research in Health Informatics (49 citations), Oncology (346 citations), Cancer Research (145 citations), Otorhinolaryngology (41 citations) and Neurology (64 citations). Fabian Stögbauer has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Peter Young, Barbara Wollenberg, Vincent Timmerman, Markus Wirth, Bernhard Haller, Cosima C. Hoch, Albrecht Stenzinger, Peter De Jonghe, Dirk Wilhelm and Christoph Späth. Their work appears in journals such as Cancers, Neurology, Genes Chromosomes and Cancer, European Archives of Oto-Rhino-Laryngology and British Journal of Cancer.

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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