Simon Schallenberg
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Cancer Immunotherapy and Biomarkers
Papers in
- Co-authors
- Frederick Klauschen (12 shared papers)Alexander Quaas (10 shared papers)David A. Horst (15 shared papers)Reinhard Buettner (5 shared papers)Steffen Dommerich (2 shared papers)Mihnea Paul Dragomir (13 shared papers)Jens Neudecker (3 shared papers)Philipp Mertins (1 shared paper)
- Journals
- Nature Communications (4 papers)Modern Pathology (3 papers)European Journal of Cancer (3 papers)BMC Cancer (2 papers)Genes Chromosomes and Cancer (2 papers)
- Partner nations
- GermanyPolandUnited States
In The Last Decade
Simon Schallenberg
60 papers receiving 876 citations
Simon Schallenberg's Hit Papers
Peers
Comparison fields: 5 of 67
- Health Informatics 44
- Oncology 117
- Artificial Intelligence 160
- Cancer Research 58
- Surgery 160
Countries citing papers authored by Simon Schallenberg
This map shows the geographic impact of Simon Schallenberg'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 Simon Schallenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Schallenberg more than expected).
Fields of papers citing papers by Simon Schallenberg
This network shows the impact of papers produced by Simon Schallenberg. 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 Simon Schallenberg. The network helps show where Simon Schallenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Schallenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Open-ST: High-resolution spatial transcriptomics in 3D Hit paper breakdown → | 2024 | 123 |
| 2 | 2023 | 83 | |
| 3 | 2021 | 66 | |
| 4 | 2022 | 64 | |
| 5 | 2022 | 51 | |
| 6 | 2020 | 46 | |
| 7 | 2023 | 42 | |
| 8 | 2024 | 25 | |
| 9 | 2025 | 25 | |
| 10 | 2023 | 24 | |
| 11 | 2019 | 20 | |
| 12 | 2015 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2023 | 19 | |
| 15 | Spatial Expression of HER2, NECTIN4, and TROP-2 in Muscle-Invasive Bladder Cancer and Metastases: Implications for Pathological and Clinical Management Hit paper breakdown → | 2025 | 18 |
| 16 | 2022 | 16 | |
| 17 | 2024 | 16 | |
| 18 | 2023 | 14 | |
| 19 | 2025 | 14 | |
| 20 | 2024 | 13 |
About Simon Schallenberg
Simon Schallenberg is a scholar working on Surgery, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 73 papers that have together received 889 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (20 papers), AI in cancer detection (13 papers), Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Esophageal Cancer Research and Treatment (4 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Health Informatics (44 citations), Oncology (117 citations), Artificial Intelligence (160 citations), Cancer Research (58 citations) and Surgery (160 citations). Simon Schallenberg has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Frederick Klauschen, Alexander Quaas, David A. Horst, Reinhard Buettner, Steffen Dommerich, Mihnea Paul Dragomir, Jens Neudecker, Philipp Mertins, Massimiliano Pagani and Mohamed Haji. Their work appears in journals such as Nature Communications, Modern Pathology, European Journal of Cancer, BMC Cancer and Genes Chromosomes and 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.