Matthias Dottermusch
Impact in
Papers in
-
- Chromatin Remodeling and Cancer 4
- Metabolomics and Mass Spectrometry Studies 2
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Sandra Krüger (1 shared paper)Christoph Röcken (1 shared paper)Hans‐Michael Behrens (1 shared paper)Julia E. Neumann (12 shared papers)Ulrich Schüller (8 shared papers)Wolfgang Saeger (5 shared papers)Markus Glatzel (6 shared papers)Hartmut Schlüter (6 shared papers)
- Journals
- Endocrine Pathology (4 papers)Acta Neuropathologica (3 papers)Brain Pathology (3 papers)Neuro-Oncology (2 papers)Neuropathology and Applied Neurobiology (2 papers)
- Partner nations
- GermanyUnited StatesSlovakia
In The Last Decade
Matthias Dottermusch
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 63
- Aging 19
- Neurology 84
- Neurology 55
- Genetics 39
- Endocrinology, Diabetes and Metabolism 45
Countries citing papers authored by Matthias Dottermusch
This map shows the geographic impact of Matthias Dottermusch'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 Matthias Dottermusch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Dottermusch more than expected).
Fields of papers citing papers by Matthias Dottermusch
This network shows the impact of papers produced by Matthias Dottermusch. 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 Matthias Dottermusch. The network helps show where Matthias Dottermusch may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Dottermusch, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2022 | 36 | |
| 3 | 2023 | 36 | |
| 4 | 2019 | 35 | |
| 5 | 2024 | 23 | |
| 6 | 2021 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2025 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Matthias Dottermusch
Matthias Dottermusch is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology and Neurology, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Neuroendocrine Tumor Research Advances (4 papers), Chromatin Remodeling and Cancer (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), interferon and immune responses (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Aging (19 citations), Neurology (84 citations), Neurology (55 citations), Genetics (39 citations) and Endocrinology, Diabetes and Metabolism (45 citations). Matthias Dottermusch has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include Sandra Krüger, Christoph Röcken, Hans‐Michael Behrens, Julia E. Neumann, Ulrich Schüller, Wolfgang Saeger, Markus Glatzel, Hartmut Schlüter, Philipp Neumann and Christoph Krisp. Their work appears in journals such as Endocrine Pathology, Acta Neuropathologica, Brain Pathology, Neuro-Oncology and Neuropathology and Applied Neurobiology.
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.