Michael Bockmayr
Impact in
- Health Informatics top 2%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 11
- Oncology 11
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Frederick Klauschen (23 shared papers)Jan Budczies (12 shared papers)Carsten Denkert (9 shared papers)Albrecht Stenzinger (10 shared papers)Manfred Dietel (6 shared papers)Jochen K. Lennerz (5 shared papers)Klaus‐Robert Müller (7 shared papers)Ulrich Schüller (12 shared papers)
- Journals
- Genes Chromosomes and Cancer (4 papers)Acta Neuropathologica (3 papers)OncoImmunology (3 papers)Oncotarget (2 papers)Laboratory Investigation (1 paper)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Michael Bockmayr
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Health Informatics 50
- Oncology 551
- Cancer Research 236
- Genetics 120
- Immunology 238
Countries citing papers authored by Michael Bockmayr
This map shows the geographic impact of Michael Bockmayr'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 Bockmayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bockmayr more than expected).
Fields of papers citing papers by Michael Bockmayr
This network shows the impact of papers produced by Michael Bockmayr. 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 Bockmayr. The network helps show where Michael Bockmayr may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bockmayr, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 212 | |
| 2 | 2015 | 202 | |
| 3 | 2021 | 108 | |
| 4 | 2015 | 85 | |
| 5 | 2019 | 83 | |
| 6 | 2018 | 81 | |
| 7 | 2016 | 76 | |
| 8 | 2023 | 73 | |
| 9 | 2021 | 58 | |
| 10 | 2017 | 49 | |
| 11 | 2019 | 47 | |
| 12 | 2017 | 42 | |
| 13 | 2017 | 34 | |
| 14 | 2020 | 29 | |
| 15 | 2019 | 28 | |
| 16 | 2023 | 27 | |
| 17 | 2013 | 27 | |
| 18 | 2015 | 26 | |
| 19 | 2021 | 25 | |
| 20 | 2019 | 21 |
About Michael Bockmayr
Michael Bockmayr is a scholar working on Cancer Research, Oncology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), AI in cancer detection (4 papers), Epigenetics and DNA Methylation (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Health Informatics (50 citations), Oncology (551 citations), Cancer Research (236 citations), Genetics (120 citations) and Immunology (238 citations). Michael Bockmayr has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Frederick Klauschen, Jan Budczies, Carsten Denkert, Albrecht Stenzinger, Manfred Dietel, Jochen K. Lennerz, Klaus‐Robert Müller, Ulrich Schüller, Wilko Weichert and Stephan Wienert. Their work appears in journals such as Genes Chromosomes and Cancer, Acta Neuropathologica, OncoImmunology, Oncotarget and Laboratory Investigation.
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.