Martin Schabet
- Genetics top 1%
- Glioma Diagnosis and Treatment 19
- Neurology top 1%
- CNS Lymphoma Diagnosis and Treatment 10
- Traumatic Brain Injury and Neurovascular Disturbances 5
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- Lymphoma Diagnosis and Treatment 9
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- Brain Metastases and Treatment 13
- Pharmacology top 10%
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- Fibromyalgia and Chronic Fatigue Syndrome Research 4
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- Pituitary Gland Disorders and Treatments 4
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- Nanoplatforms for cancer theranostics 4
- Co-authors
- J. DichgansMichael WellerAndreas KastrupUlrich HerrlingerClaudia HartmannHelmut WilhelmMatthias NiemeierChristine Thomas
- Journals
- SHILAP Revista de lepidopterología (1 paper)Neurology (1 paper)Cancer (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Martin Schabet
64 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 99
- Genetics 802
- Neurology 935
- Pathology and Forensic Medicine 520
- Pulmonary and Respiratory Medicine 451
- Pharmacology 156
Countries citing papers authored by Martin Schabet
This map shows the geographic impact of Martin Schabet'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 Martin Schabet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schabet more than expected).
Fields of papers citing papers by Martin Schabet
This network shows the impact of papers produced by Martin Schabet. 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 Martin Schabet. The network helps show where Martin Schabet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Schabet, 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 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 2 | |
| 4 | 2002 | 130 | |
| 5 | 2001 | 30 | |
| 6 | 1999 | 92 | |
| 7 | 1999 | 65 | |
| 8 | 1998 | 9 | |
| 9 | 1998 | 66 | |
| 10 | 1998 | 33 | |
| 11 | 1998 | 2 | |
| 12 | 1997 | 5 | |
| 13 | 1992 | 9 | |
| 14 | 1992 | 8 | |
| 15 | 1991 | 18 | |
| 16 | 1990 | 6 | |
| 17 | 1989 | 20 | |
| 18 | 1986 | 6 | |
| 19 | 1986 | 15 | |
| 20 | 1982 | 5 |
About Martin Schabet
Martin Schabet is a scholar working on Genetics, Neurology and Immunology and Allergy, having authored 65 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Brain Metastases and Treatment (13 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Pituitary Gland Disorders and Treatments (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Genetics (802 citations), Neurology (935 citations) and Pathology and Forensic Medicine (520 citations). Martin Schabet has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include J. Dichgans, Michael Weller, Andreas Kastrup, Ulrich Herrlinger, Claudia Hartmann, Helmut Wilhelm, Matthias Niemeier, Christine Thomas, M. Bamberg and Rolf‐Dieter Kortmann. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology 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.