Peter Kupchak
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Genetic Neurodegenerative Diseases 5
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- Neurological disorders and treatments 4
- Traumatic Brain Injury and Neurovascular Disturbances 1
- Co-authors
- George Jackowski (2 shared papers)Inga Kireeva (2 shared papers)Rulin Zhang (2 shared papers)John Marshall (2 shared papers)Eric Stanton (3 shared papers)Kenneth Evans (7 shared papers)Weimin Zhu (1 shared paper)Miyoko Takahashi (1 shared paper)
- Journals
- PLoS Currents (5 papers)Clinical Chemistry (2 papers)Journal of Proteome Research (2 papers)The Journal of Maternal-Fetal & Neonatal Medicine (1 paper)PROTEOMICS (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Peter Kupchak
17 papers receiving 616 citations
Peers
Comparison fields: 5 of 92
- Spectroscopy 190
- Cancer Research 109
- Molecular Biology 302
- Neurology 34
- Cardiology and Cardiovascular Medicine 46
Countries citing papers authored by Peter Kupchak
This map shows the geographic impact of Peter Kupchak'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 Kupchak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kupchak more than expected).
Fields of papers citing papers by Peter Kupchak
This network shows the impact of papers produced by Peter Kupchak. 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 Kupchak. The network helps show where Peter Kupchak may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kupchak, 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 | 2003 | 176 | |
| 2 | 2004 | 144 | |
| 3 | 2012 | 72 | |
| 4 | 2015 | 63 | |
| 5 | 2013 | 47 | |
| 6 | 2004 | 27 | |
| 7 | 2006 | 24 | |
| 8 | 2011 | 15 | |
| 9 | 2011 | 13 | |
| 10 | 2011 | 12 | |
| 11 | 2012 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2011 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 1 |
About Peter Kupchak
Peter Kupchak is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 634 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), Neurological disorders and treatments (4 papers), S100 Proteins and Annexins (2 papers), Preterm Birth and Chorioamnionitis (2 papers), Adolescent and Pediatric Healthcare (1 paper), Alzheimer's disease research and treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Spectroscopy (190 citations), Cancer Research (109 citations), Molecular Biology (302 citations), Neurology (34 citations) and Cardiology and Cardiovascular Medicine (46 citations). Peter Kupchak has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include George Jackowski, Inga Kireeva, Rulin Zhang, John Marshall, Eric Stanton, Kenneth Evans, Weimin Zhu, Miyoko Takahashi, Deborah Pinchev and Michèle Rasamoelisolo. Their work appears in journals such as PLoS Currents, Clinical Chemistry, Journal of Proteome Research, The Journal of Maternal-Fetal & Neonatal Medicine and PROTEOMICS.
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.