Matthias M. Feldkamp
- Genetics top 5%
- Glioma Diagnosis and Treatment 3
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases 7
- Neuroblastoma Research and Treatments 3
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 2
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- Angiogenesis and VEGF in Cancer 5
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- Meningioma and schwannoma management 4
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- Cancer Mechanisms and Therapy 3
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- Peripheral Nerve Disorders 2
- Co-authors
- Nelson C. LauAbhijit GuhaGerry R. BossAnthony PawsonDavid H. GutmannLuba RoncariJohn ProviasKevin P. Claffey
- Cited by
- GeneticsNeurologyCancer Research
- Journals
- Oncogene (2 papers)Annals of the New York Academy of Sciences (1 paper)Journal of neurosurgery (2 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Matthias M. Feldkamp
18 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 58
- Genetics 323
- Neurology 327
- Cancer Research 212
- Oncology 226
- Molecular Biology 528
Countries citing papers authored by Matthias M. Feldkamp
This map shows the geographic impact of Matthias M. Feldkamp'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 M. Feldkamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias M. Feldkamp more than expected).
Fields of papers citing papers by Matthias M. Feldkamp
This network shows the impact of papers produced by Matthias M. Feldkamp. 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 M. Feldkamp. The network helps show where Matthias M. Feldkamp may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Matthias M. Feldkamp, 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 | 2002 | 21 | |
| 2 | Isotype-specific Ras.GTP-levels predict the efficacy of farnesyl transferase inhibitors against human astrocytomas regardless of Ras mutational status. | 2001 | 76 |
| 3 | 2000 | 128 | |
| 4 | 1999 | 43 | |
| 5 | 1999 | 94 | |
| 6 | 1999 | 12 | |
| 7 | 1999 | 92 | |
| 8 | 1999 | 10 | |
| 9 | Astrocytomas are growth-inhibited by farnesyl transferase inhibitors through a combination of anti-proliferative and anti-angiogenic activities | 1998 | 2 |
| 10 | 1998 | 43 | |
| 11 | 1997 | 259 | |
| 12 | 1997 | 62 | |
| 13 | 1997 | 165 | |
| 14 | 1997 | 1 | |
| 15 | 1997 | 2 | |
| 16 | 1996 | 31 | |
| 17 | 1995 | 14 | |
| 18 | 1995 | 1 |
About Matthias M. Feldkamp
Matthias M. Feldkamp is a scholar working on Neurology, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (7 papers), Angiogenesis and VEGF in Cancer (5 papers), Meningioma and schwannoma management (4 papers), Cancer Mechanisms and Therapy (3 papers), Glioma Diagnosis and Treatment (3 papers), Neuroblastoma Research and Treatments (3 papers), Peripheral Nerve Disorders (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (323 citations), Neurology (327 citations) and Cancer Research (212 citations). Matthias M. Feldkamp has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Nelson C. Lau, Abhijit Guha, Gerry R. Boss, Anthony Pawson, David H. Gutmann, Luba Roncari, John Provias, Kevin P. Claffey, Robert S. Kerbel and Janusz Rak. Their work appears in journals such as Oncogene, Annals of the New York Academy of Sciences and Journal of neurosurgery.
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.