Peter Pytel
Impact in
Papers in
- Co-authors
- Elizabeth M. McNally (18 shared papers)Maciej S. Lesniak (8 shared papers)Atique U. Ahmed (5 shared papers)Judy U. Earley (8 shared papers)Alexis R. Demonbreun (8 shared papers)Brenda Auffinger (2 shared papers)Drew A. Spencer (1 shared paper)Lingjiao Zhang (6 shared papers)
- Journals
- American Journal of Clinical Pathology (7 papers)Acta Neuropathologica (4 papers)Human Molecular Genetics (4 papers)Journal of Neuropathology & Experimental Neurology (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Peter Pytel
135 papers receiving 4.3k citations
Peter Pytel's Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 681
- Neurology 686
- Neurology 261
- Immunology 589
- 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-authors
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
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CCL2 Produced by the Glioma Microenvironment Is Essential for the Recruitment of Regulatory T Cells and Myeloid-Derived Suppressor Cells Hit paper breakdown → | 2016 | 536 |
| 2 | 2015 | 257 | |
| 3 | 2008 | 163 | |
| 4 | 2007 | 125 | |
| 5 | 2009 | 116 | |
| 6 | 2005 | 105 | |
| 7 | 2016 | 102 | |
| 8 | 2004 | 100 | |
| 9 | 2009 | 96 | |
| 10 | 2010 | 94 | |
| 11 | 2008 | 92 | |
| 12 | 2013 | 89 | |
| 13 | 2016 | 87 | |
| 14 | 2014 | 82 | |
| 15 | 2009 | 75 | |
| 16 | 2017 | 75 | |
| 17 | 2013 | 67 | |
| 18 | 2018 | 67 | |
| 19 | 2011 | 61 | |
| 20 | 2010 | 60 |
About Peter Pytel
Peter Pytel is a scholar working on Neurology, Genetics, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 141 papers that have together received 4.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (25 papers), Neuroblastoma Research and Treatments (11 papers), Muscle Physiology and Disorders (11 papers), Neurofibromatosis and Schwannoma Cases (11 papers), Cellular transport and secretion (8 papers), Sarcoma Diagnosis and Treatment (8 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Nuclear Structure and Function (6 papers). The work is most often cited by research in Genetics (681 citations), Neurology (686 citations), Neurology (261 citations), Immunology (589 citations) and Molecular Biology (1.8k citations). Peter Pytel has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Elizabeth M. McNally, Maciej S. Lesniak, Atique U. Ahmed, Judy U. Earley, Alexis R. Demonbreun, Brenda Auffinger, Drew A. Spencer, Lingjiao Zhang, Jessy John Alexander and Jian Qiao. Their work appears in journals such as American Journal of Clinical Pathology, Acta Neuropathologica, Human Molecular Genetics, Journal of Neuropathology & Experimental Neurology and Journal of Biological Chemistry.
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.