Peter Pytel
- Genetics top 1%
- Glioma Diagnosis and Treatment 23
- Neurology top 2%
- Neurofibromatosis and Schwannoma Cases 9
- Neuroblastoma Research and Treatments 8
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases 9
- Neuroblastoma Research and Treatments 8
- Immunology top 5%
- Molecular Biology top 5%
- Muscle Physiology and Disorders 12
- RNA Research and Splicing 8
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- Cellular transport and secretion 10
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- Sarcoma Diagnosis and Treatment 8
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- Alzheimer's disease research and treatments 7
- Co-authors
- Elizabeth M. McNallyMaciej S. LesniakAtique U. AhmedJudy U. EarleyAlexis R. DemonbreunBrenda AuffingerJessy J. AlexanderDrew Spencer
- Journals
- American Journal of Clinical Pathology (6 papers)Human Molecular Genetics (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Peter Pytel
124 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 619
- Neurology 620
- Neurology 282
- Immunology 597
- Molecular Biology 1.8k
Countries citing papers authored by Peter Pytel
This map shows the geographic impact of Peter Pytel'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 Peter Pytel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pytel more than expected).
Fields of papers citing papers by Peter Pytel
This network shows the impact of papers produced by Peter Pytel. 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 Peter Pytel. The network helps show where Peter Pytel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Pytel, 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 | 2025 | 2 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 4 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 16 | |
| 10 | CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cellsbreakdown → | 2016 | 479 |
| 11 | 2016 | 87 | |
| 12 | 2015 | 42 | |
| 13 | 2014 | 36 | |
| 14 | 2010 | 52 | |
| 15 | 2010 | 88 | |
| 16 | 2010 | 20 | |
| 17 | 2008 | 87 | |
| 18 | 2007 | 16 | |
| 19 | 2006 | 11 | |
| 20 | 2004 | 96 |
About Peter Pytel
Peter Pytel is a scholar working on Neurology, Genetics and Pathology and Forensic Medicine, having authored 126 papers that have together received 3.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Muscle Physiology and Disorders (12 papers), Cellular transport and secretion (10 papers), Neurofibromatosis and Schwannoma Cases (9 papers), Neuroblastoma Research and Treatments (8 papers), Sarcoma Diagnosis and Treatment (8 papers), RNA Research and Splicing (8 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Genetics (619 citations), Neurology (620 citations) and Neurology (282 citations). Peter Pytel has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Elizabeth M. McNally, Maciej S. Lesniak, Atique U. Ahmed, Judy U. Earley, Alexis R. Demonbreun, Brenda Auffinger, Jessy J. Alexander, Drew Spencer, Lingjiao Zhang and Jason Miska. Their work appears in journals such as American Journal of Clinical Pathology, Human Molecular Genetics, Journal of Biological Chemistry, Cancer Research and Muscle & Nerve.
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.