Michael Allgäuer
- Radiation top 2%
- Advanced Radiotherapy Techniques 8
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 23
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 13
- Pancreatic and Hepatic Oncology Research 5
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- Lung Cancer Treatments and Mutations 16
- Lung Cancer Diagnosis and Treatment 12
- Hepatology top 5%
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- Radiomics and Machine Learning in Medical Imaging 5
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- Genetic factors in colorectal cancer 5
- Co-authors
- Albrecht StenzingerJan BudcziesPeter SchirmacherVolker EndrisMichael ThomasPetros ChristopoulosStefan FröhlingEugen Rempel
- Cited by
- RadiationCancer ResearchOncology
- Journals
- Lung Cancer (4 papers)International Journal of Cancer (4 papers)The Journal of Pathology Clinical Research (3 papers)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Michael Allgäuer
59 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Radiation 301
- Cancer Research 489
- Oncology 790
- Pulmonary and Respiratory Medicine 794
- Hepatology 122
Countries citing papers authored by Michael Allgäuer
This map shows the geographic impact of Michael Allgäuer'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 Michael Allgäuer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Allgäuer more than expected).
Fields of papers citing papers by Michael Allgäuer
This network shows the impact of papers produced by Michael Allgäuer. 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 Michael Allgäuer. The network helps show where Michael Allgäuer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Allgäuer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 56 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 117 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 14 | |
| 18 | 2016 | 2 | |
| 19 | 2016 | 149 | |
| 20 | 2014 | 41 |
About Michael Allgäuer
Michael Allgäuer is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Radiation and Pathology and Forensic Medicine, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (23 papers), Lung Cancer Treatments and Mutations (16 papers), Cancer Immunotherapy and Biomarkers (13 papers), Lung Cancer Diagnosis and Treatment (12 papers), Advanced Radiotherapy Techniques (8 papers), Pancreatic and Hepatic Oncology Research (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Radiation (301 citations), Cancer Research (489 citations), Oncology (790 citations), Pulmonary and Respiratory Medicine (794 citations) and Hepatology (122 citations). Michael Allgäuer has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Albrecht Stenzinger, Jan Budczies, Peter Schirmacher, Volker Endris, Michael Thomas, Petros Christopoulos, Stefan Fröhling, Eugen Rempel, Martina Kirchner and Matthias Gückenberger. Their work appears in journals such as Lung Cancer, International Journal of Cancer, The Journal of Pathology Clinical Research, Cancers and Radiotherapy and Oncology.
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.