Mathias Warm
Impact in
-
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
-
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
- Oncology 11
- Cancer Treatment and Pharmacology 3
- HER2/EGFR in Cancer Research 2
- Bone health and treatments 2
-
- Breast Cancer Treatment Studies 8
- Cancer Genomics and Diagnostics 2
- Co-authors
- W. Eiermann (3 shared papers)Kay Friedrichs (3 shared papers)Mahdi Rezai (3 shared papers)Sherko Kümmel (3 shared papers)Jens‐Uwe Blohmer (6 shared papers)Nadia Harbeck (6 shared papers)Christian Eichler (2 shared papers)Thorsten Kühn (2 shared papers)
- Journals
- The Breast (1 paper)Tumor Biology (1 paper)Breast Cancer Research (1 paper)Journal of Clinical Oncology (1 paper)Journal of Geriatric Oncology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Mathias Warm
19 papers receiving 181 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 73
- Oncology 91
- Pathology and Forensic Medicine 25
- Geriatrics and Gerontology 5
- Statistics and Probability 8
Countries citing papers authored by Mathias Warm
This map shows the geographic impact of Mathias Warm'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 Mathias Warm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Warm more than expected).
Fields of papers citing papers by Mathias Warm
This network shows the impact of papers produced by Mathias Warm. 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 Mathias Warm. The network helps show where Mathias Warm may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Warm, 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 | 2012 | 40 | |
| 2 | 2016 | 33 | |
| 3 | 2004 | 19 | |
| 4 | 2015 | 18 | |
| 5 | 2022 | 13 | |
| 6 | 2003 | 11 | |
| 7 | 2017 | 11 | |
| 8 | 2010 | 10 | |
| 9 | 2014 | 6 | |
| 10 | 2011 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2021 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2010 | 2 | |
| 15 | 2003 | 2 | |
| 16 | 2005 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2003 | 0 |
About Mathias Warm
Mathias Warm is a scholar working on Oncology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 186 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Cancer Treatment and Pharmacology (3 papers), Breast Implant and Reconstruction (3 papers), HER2/EGFR in Cancer Research (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cancer Genomics and Diagnostics (2 papers), Bone health and treatments (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Cancer Research (73 citations), Oncology (91 citations), Pathology and Forensic Medicine (25 citations), Geriatrics and Gerontology (5 citations) and Statistics and Probability (8 citations). Mathias Warm has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include W. Eiermann, Kay Friedrichs, Mahdi Rezai, Sherko Kümmel, Jens‐Uwe Blohmer, Nadia Harbeck, Christian Eichler, Thorsten Kühn, William J. Valentine and Peter Mallmann. Their work appears in journals such as The Breast, Tumor Biology, Breast Cancer Research, Journal of Clinical Oncology and Journal of Geriatric 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.